Constraint-handling in nature-inspired numerical optimization: Past, present and future
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[1] Mauro Birattari,et al. Swarm Intelligence , 2012, Lecture Notes in Computer Science.
[2] Ruhul A. Sarker,et al. Multi-operator based evolutionary algorithms for solving constrained optimization problems , 2011, Comput. Oper. Res..
[3] Ruhul A. Sarker,et al. Differential evolution combined with constraint consensus for constrained optimization , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).
[4] Ruhul A. Sarker,et al. GA with a new multi-parent crossover for constrained optimization , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).
[5] Ruhul A. Sarker,et al. Integrated strategies differential evolution algorithm with a local search for constrained optimization , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).
[6] Kalyanmoy Deb,et al. A Bi-objective Based Hybrid Evolutionary-Classical Algorithm for Handling Equality Constraints , 2011, EMO.
[7] Kiyoshi Tanaka,et al. Adaptive Objective Space Partitioning Using Conflict Information for Many-Objective Optimization , 2011, EMO.
[8] P. Suganthan,et al. Constrained multi-objective optimization algorithm with an ensemble of constraint handling methods , 2011 .
[9] Dervis Karaboga,et al. A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems , 2011, Appl. Soft Comput..
[10] Dan Simon,et al. Blended biogeography-based optimization for constrained optimization , 2011, Eng. Appl. Artif. Intell..
[11] Jui-Yu Wu,et al. Solving Constrained Global Optimization via Artificial Immune System , 2011, Int. J. Artif. Intell. Tools.
[12] Dirk V. Arnold,et al. On the behaviour of the (1,λ)-es for a simple constrained problem , 2011, FOGA '11.
[13] Ruhul A. Sarker,et al. A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization , 2010, SEAL.
[14] Efrén Mezura-Montes,et al. Differential evolution in constrained numerical optimization: An empirical study , 2010, Inf. Sci..
[15] Shen Li,et al. A New Self-adaption Differential Evolution Algorithm Based Component Model , 2010, ISICA.
[16] P. N. Suganthan,et al. Ensemble of Constraint Handling Techniques , 2010, IEEE Transactions on Evolutionary Computation.
[17] Zhigang Shang,et al. Differential evolution with dynamic constraint-handling mechanism , 2010, IEEE Congress on Evolutionary Computation.
[18] Kalyanmoy Deb,et al. A fast and accurate solution of constrained optimization problems using a hybrid bi-objective and penalty function approach , 2010, IEEE Congress on Evolutionary Computation.
[19] Josef Tvrdík,et al. Competitive differential evolution for constrained problems , 2010, IEEE Congress on Evolutionary Computation.
[20] Janez Brest,et al. An improved self-adaptive differential evolution algorithm in single objective constrained real-parameter optimization , 2010, IEEE Congress on Evolutionary Computation.
[21] Mehmet Fatih Tasgetiren,et al. An ensemble of differential evolution algorithms for constrained function optimization , 2010, IEEE Congress on Evolutionary Computation.
[22] Kalyanmoy Deb,et al. Hybrid gradient projection based Genetic Algorithms for constrained optimization , 2010, IEEE Congress on Evolutionary Computation.
[23] Zhigang Shang,et al. Coevolutionary Comprehensive Learning Particle Swarm Optimizer , 2010, IEEE Congress on Evolutionary Computation.
[24] Chun Chen,et al. Multiple Trajectory Search for single objective constrained real-parameter optimization problems , 2010, IEEE Congress on Evolutionary Computation.
[25] Tetsuyuki Takahama,et al. Constrained optimization by the ε constrained differential evolution with an archive and gradient-based mutation , 2010, IEEE Congress on Evolutionary Computation.
[26] Yong Wang,et al. Hybrid differential evolution and adaptive trade-off model to solve constrained optimization problems , 2010, IEEE Congress on Evolutionary Computation.
[27] Tapabrata Ray,et al. Performance of infeasibility empowered memetic algorithm for CEC 2010 constrained optimization problems , 2010, IEEE Congress on Evolutionary Computation.
[28] Efrén Mezura-Montes,et al. Elitist Artificial Bee Colony for constrained real-parameter optimization , 2010, IEEE Congress on Evolutionary Computation.
[29] Efrén Mezura-Montes,et al. Smart flight and dynamic tolerances in the artificial bee colony for constrained optimization , 2010, IEEE Congress on Evolutionary Computation.
[30] Jonathan M. Garibaldi,et al. A novel memetic algorithm for constrained optimization , 2010, IEEE Congress on Evolutionary Computation.
[31] Ponnuthurai N. Suganthan,et al. Differential evolution with ensemble of constraint handling techniques for solving CEC 2010 benchmark problems , 2010, IEEE Congress on Evolutionary Computation.
[32] Xavier Blasco Ferragud,et al. Multiobjective optimization algorithm for solving constrained single objective problems , 2010, IEEE Congress on Evolutionary Computation.
[33] Enrique Alba,et al. Today/future importance analysis , 2010, GECCO '10.
[34] Tapabrata Ray,et al. C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization , 2010, Inf. Sci..
[35] Ling Wang,et al. An effective differential evolution with level comparison for constrained engineering design , 2010 .
[36] Yong Wang,et al. Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization , 2010, Appl. Soft Comput..
[37] Uday K. Chakraborty,et al. Advances in Differential Evolution , 2010 .
[38] Oliver Kramer,et al. A Review of Constraint-Handling Techniques for Evolution Strategies , 2010, Appl. Comput. Intell. Soft Comput..
[39] Graham Kendall,et al. A Classification of Hyper-heuristic Approaches , 2010 .
[40] Tie-Jun Wu,et al. A relative feasibility degree based approach for constrained optimization problems , 2010, Journal of Zhejiang University SCIENCE C.
[41] Jeng-Shyang Pan,et al. An Improved Particle Swarm Optimization with Feasibility-Based Rules for Mixed-Variable Optimization Problems , 2009, 2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC).
[42] Yi-Jie Sun,et al. An Evolution Strategy with stochastic ranking for solving reactive power optimization , 2009, 2009 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS).
[43] Luciano Stefanini,et al. Handling Box, Linear and Quadratic-Convex Constraints for Boundary Optimization with Differential Evolution Algorithms , 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.
[44] Carlos A. Coello Coello,et al. Alternative Fitness Assignment Methods for Many-Objective Optimization Problems , 2009, Artificial Evolution.
[45] Xing Xu,et al. A Novel Component-Based Model and Ranking Strategy in Constrained Evolutionary Optimization , 2009, ADMA.
[46] Jeng-Shyang Pan,et al. A Particle Swarm Optimization with Feasibility-Based Rules for Mixed-Variable Optimization Problems , 2009, 2009 Ninth International Conference on Hybrid Intelligent Systems.
[47] Sancho Salcedo-Sanz,et al. A survey of repair methods used as constraint handling techniques in evolutionary algorithms , 2009, Comput. Sci. Rev..
[48] Erik D. Goodman,et al. SRaDE: an adaptive differential evolution based on stochastic ranking , 2009, GECCO.
[49] Natalio Krasnogor,et al. Nature-inspired cooperative strategies for optimization , 2009 .
[50] Licheng Jiao,et al. Stochastic ranking based differential evolution algorithm for constrained optimization problem , 2009, GEC '09.
[51] Gary G. Yen,et al. Constraint Handling in Multiobjective Evolutionary Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[52] Xin Yao,et al. Benchmarking and solving dynamic constrained problems , 2009, 2009 IEEE Congress on Evolutionary Computation.
[53] Adriana Menchaca-Mendez,et al. A new proposal to hybridize the Nelder-Mead method to a differential evolution algorithm for constrained optimization , 2009, 2009 IEEE Congress on Evolutionary Computation.
[54] Chellapilla Patvardhan,et al. A novel hybrid constraint handling technique for evolutionary optimization , 2009, 2009 IEEE Congress on Evolutionary Computation.
[55] Ruhul A. Sarker,et al. An Agent-based Memetic Algorithm (AMA) for nonlinear optimization with equality constraints , 2009, 2009 IEEE Congress on Evolutionary Computation.
[56] Tapabrata Ray,et al. Constrained many-objective optimization: A way forward , 2009, 2009 IEEE Congress on Evolutionary Computation.
[57] Massimiliano Vasile,et al. A dynamical system perspective on evolutionary heuristics applied to space trajectory optimization problems , 2009, 2009 IEEE Congress on Evolutionary Computation.
[58] Efrén Mezura-Montes,et al. Parameter control in Differential Evolution for constrained optimization , 2009, 2009 IEEE Congress on Evolutionary Computation.
[59] Tapabrata Ray,et al. Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems , 2009, 2009 IEEE Congress on Evolutionary Computation.
[60] Gary G. Yen,et al. An Adaptive Penalty Formulation for Constrained Evolutionary Optimization , 2009, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[61] Ponnuthurai N. Suganthan,et al. Diversity enhanced Adaptive Evolutionary Programming for solving single objective constrained problems , 2009, 2009 IEEE Congress on Evolutionary Computation.
[62] Efrn Mezura-Montes,et al. Constraint-Handling in Evolutionary Optimization , 2009 .
[63] Zhun Fan,et al. Improved Differential Evolution Based on Stochastic Ranking for Robust Layout Synthesis of MEMS Components , 2009, IEEE Transactions on Industrial Electronics.
[64] Yuren Zhou,et al. Accelerating adaptive trade‐off model using shrinking space technique for constrained evolutionary optimization , 2009 .
[65] Ruhul A. Sarker,et al. AMA: a new approach for solving constrained real-valued optimization problems , 2009, Soft Comput..
[66] Yong Wang,et al. A hybrid multi-swarm particle swarm optimization to solve constrained optimization problems , 2009, Frontiers of Computer Science in China.
[67] M. M. Ali,et al. A local exploration-based differential evolution algorithm for constrained global optimization , 2009, Appl. Math. Comput..
[68] Carlos A. Coello Coello,et al. Boundary Search for Constrained Numerical Optimization Problems With an Algorithm Inspired by the Ant Colony Metaphor , 2009, IEEE Transactions on Evolutionary Computation.
[69] Janez Brest,et al. Constrained Real-Parameter Optimization with ε -Self-Adaptive Differential Evolution , 2009 .
[70] Efrén Mezura-Montes,et al. Improved Particle Swarm Optimization in Constrained Numerical Search Spaces , 2009, Nature-Inspired Algorithms for Optimisation.
[71] Mitsuo Gen,et al. Intelligent Engineering Systems through Artificial Neural Networks , 2009 .
[72] Efrén Mezura-Montes,et al. Modified Bacterial Foraging Optimization for Engineering Design , 2009 .
[73] Gary G. Yen,et al. An Adaptive Penalty Function for Handling Constraint in Multi-objective Evolutionary Optimization , 2009 .
[74] Tetsuyuki Takahama,et al. Solving Difficult Constrained Optimization Problems by the ε Constrained Differential Evolution with Gradient-Based Mutation , 2009 .
[75] Efrén Mezura-Montes,et al. Exploring Promising Regions of the Search Space with the Scout Bee in the Artificial Bee Colony for Constrained Optimization , 2009 .
[76] Nareli Cruz-Cortés,et al. Handling Constraints in Global Optimization Using Artificial Immune Systems: A Survey , 2009 .
[77] Jeng-Shyang Pan,et al. Fourth International Conference on Innovative, Computing, Information and Control , 2009 .
[78] R. Haftka,et al. Constrained particle swarm optimization using a bi-objective formulation , 2009 .
[79] Elizabeth F. Wanner,et al. Constrained Optimization Based on Quadratic Approximations in Genetic Algorithms , 2009 .
[80] Zhun Fan,et al. Constrained optimization based on hybrid evolutionary algorithm and adaptive constraint-handling technique , 2009 .
[81] Tapabrata Ray,et al. Infeasibility Driven Evolutionary Algorithm for Constrained Optimization , 2009 .
[82] Dirk V. Arnold,et al. On the Behaviour of the (1+1)-ES for a Simple Constrained Problem , 2008, PPSN.
[83] Rainer Laur,et al. Comparison of Adaptive Approaches for Differential Evolution , 2008, PPSN.
[84] Angel Eduardo Muñoz Zavala,et al. Constrained optimization with an improved particle swarm optimization algorithm , 2008, Int. J. Intell. Comput. Cybern..
[85] Wenjian Luo,et al. Differential evolution with dynamic stochastic selection for constrained optimization , 2008, Inf. Sci..
[86] Ruhul A. Sarker,et al. Search space reduction technique for constrained optimization with tiny feasible space , 2008, GECCO '08.
[87] Haiyan Lu,et al. Self-adaptive velocity particle swarm optimization for solving constrained optimization problems , 2008, J. Glob. Optim..
[88] Ling Wang,et al. Nonlinear constrained optimization by enhanced co-evolutionary PSO , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[89] Ling Wang,et al. A hybrid Differential Evolution with double populations for constrained optimization , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[90] Wenyin Gong,et al. A multiobjective differential evolution algorithm for constrained optimization , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[91] Tapabrata Ray,et al. Blessings of maintaining infeasible solutions for constrained multi-objective optimization problems , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[92] Heder S. Bernardino,et al. A new hybrid AIS-GA for constrained optimization problems in mechanical engineering , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[93] Xinghuo Yu,et al. A multi-objective constraint-handling method with PSO algorithm for constrained engineering optimization problems , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[94] Qing Zhang,et al. Constrained optimization by the evolutionary algorithm with lower dimensional crossover and gradient-based mutation , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[95] Kalyanmoy Deb,et al. Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[96] Yang Yu,et al. On the usefulness of infeasible solutions in evolutionary search: A theoretical study , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[97] S. Puzzi,et al. A double-multiplicative dynamic penalty approach for constrained evolutionary optimization , 2008 .
[98] Yuren Zhou,et al. An Adaptive Tradeoff Model for Constrained Evolutionary Optimization , 2008, IEEE Transactions on Evolutionary Computation.
[99] K. Zielinski,et al. Stopping Criteria for Differential Evolution in Constrained Single-Objective Optimization , 2008 .
[100] Tetsuyuki Takahama,et al. Constrained Optimization by ε Constrained Differential Evolution with Dynamic ε-Level Control , 2008 .
[101] Carlos A. Coello Coello,et al. Constrained Optimization via Multiobjective Evolutionary Algorithms , 2008, Multiobjective Problem Solving from Nature.
[102] Manoj Kumar Tiwari,et al. Swarm Intelligence, Focus on Ant and Particle Swarm Optimization , 2007 .
[103] Enrique Raúl Villa Diharce,et al. Robust PSO-Based Constrained Optimization by Perturbing the Particle's Memory , 2007 .
[104] Carlos A. Coello Coello,et al. A Novel Model of Artificial Immune System for Solving Constrained Optimization Problems with Dynamic Tolerance Factor , 2007, MICAI.
[105] Dervis Karaboga,et al. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..
[106] Yuren Zhou,et al. A Runtime Analysis of Evolutionary Algorithms for Constrained Optimization Problems , 2007, IEEE Transactions on Evolutionary Computation.
[107] Elizabeth F. Wanner,et al. Projection-based local search operator for multiple equality constraints within genetic algorithms , 2007, 2007 IEEE Congress on Evolutionary Computation.
[108] Carlos A. Coello Coello,et al. A bi-population PSO with a shake-mechanism for solving constrained numerical optimization , 2007, 2007 IEEE Congress on Evolutionary Computation.
[109] Hui Li,et al. A lower-dimensional-search evolutionary algorithm and its application in constrained optimization problems , 2007, 2007 IEEE Congress on Evolutionary Computation.
[110] Heder S. Bernardino,et al. A hybrid genetic algorithm for constrained optimization problems in mechanical engineering , 2007, 2007 IEEE Congress on Evolutionary Computation.
[111] Yan Zhou,et al. A memetic co-evolutionary differential evolution algorithm for constrained optimization , 2007, 2007 IEEE Congress on Evolutionary Computation.
[112] Ruhul A. Sarker,et al. An agent-based memetic algorithm (AMA) for solving constrained optimazation problems , 2007, 2007 IEEE Congress on Evolutionary Computation.
[113] Jin Xu,et al. A genetic algorithm for solving multi-constrained function optimization problems based on KS function , 2007, 2007 IEEE Congress on Evolutionary Computation.
[114] Kalyanmoy Deb,et al. Trading on infeasibility by exploiting constraint’s criticality through multi-objectivization: A system design perspective , 2007, 2007 IEEE Congress on Evolutionary Computation.
[115] Carlos A. Coello Coello,et al. A boundary search based ACO algorithm coupled with stochastic ranking , 2007, 2007 IEEE Congress on Evolutionary Computation.
[116] Frederico G. Guimarães,et al. Local search with quadratic approximation in Genetic Algorithms for expensive optimization problems , 2007, 2007 IEEE Congress on Evolutionary Computation.
[117] María Cristina Riff,et al. Towards an immune system that solves CSP , 2007, 2007 IEEE Congress on Evolutionary Computation.
[118] Jing Liu,et al. An Organizational Evolutionary Algorithm for Numerical Optimization , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[119] Bo Yu,et al. Low Dimensional Simplex Evolution--A Hybrid Heuristic for Global Optimization , 2007, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007).
[120] Oscar Castillo,et al. Foundations of Fuzzy Logic and Soft Computing: 12th International Fuzzy Systems Association World Congress, IFSA 2007, Cancun, Mexico, Junw 18-21, 2007, ... / Lecture Notes in Artificial Intelligence) , 2007 .
[121] Yuren Zhou,et al. An orthogonal design based constrained evolutionary optimization algorithm , 2007 .
[122] C. A. Coello Coello,et al. Multiple trial vectors in differential evolution for engineering design , 2007 .
[123] Dervis Karaboga,et al. Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems , 2007, IFSA.
[124] Yuren Zhou,et al. Multiobjective Optimization and Hybrid Evolutionary Algorithm to Solve Constrained Optimization Problems , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[125] A. Oyama,et al. New Constraint-Handling Method for Multi-Objective and Multi-Constraint Evolutionary Optimization , 2007 .
[126] Zbigniew Michalewicz,et al. Parameter Setting in Evolutionary Algorithms , 2007, Studies in Computational Intelligence.
[127] Helio J. C. Barbosa,et al. A Stochastic Rank-Based Ant System for Discrete Structural Optimization , 2007, 2007 IEEE Swarm Intelligence Symposium.
[128] Ling Wang,et al. A hybrid particle swarm optimization with a feasibility-based rule for constrained optimization , 2007, Appl. Math. Comput..
[129] Isao Ono,et al. Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator , 2007, EMO.
[130] Shengxiang Yang,et al. Evolutionary Computation in Dynamic and Uncertain Environments , 2007, Studies in Computational Intelligence.
[131] Carlos A. Coello Coello,et al. Artificial Immune System for Solving Constrained Optimization Problems , 2006, Inteligencia Artif..
[132] Witold Pedrycz,et al. Foundations of Fuzzy Logic and Soft Computing, 12th International Fuzzy Systems Association World Congress, IFSA 2007, Cancun, Mexico, June 18-21, 2007, Proceedings , 2007, IFSA.
[133] Rainer Laur,et al. Influence of Different Deviations Allowed for Equality Constraints on Particle Swarm Optimization and Differential Evolution , 2007, NICSO.
[134] Carlos A. Coello Coello,et al. A Preliminary Study of Fitness Inheritance in Evolutionary Constrained Optimization , 2007, NICSO.
[135] Min Zhang,et al. Infeasible Elitists and Stochastic Ranking Selection in Constrained Evolutionary Multi-objective Optimization , 2006, SEAL.
[136] Mehmet Fatih Tasgetiren,et al. A Multi-Populated Differential Evolution Algorithm for Solving Constrained Optimization Problem , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[137] A. Hernández-Aguirre,et al. PESO+for Constrained Optimization , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[138] Jing J. Liang,et al. Dynamic Multi-Swarm Particle Swarm Optimizer with a Novel Constraint-Handling Mechanism , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[139] A. Kai Qin,et al. Self-adaptive Differential Evolution Algorithm for Constrained Real-Parameter Optimization , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[140] Jouni Lampinen,et al. Constrained Real-Parameter Optimization with Generalized Differential Evolution , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[141] Rainer Laur,et al. Constrained Single-Objective Optimization Using Differential Evolution , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[142] Rainer Laur,et al. Constrained Single-Objective Optimization Using Particle Swarm Optimization , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[143] Wenjian Luo,et al. A Novel Search Biases Selection Strategy for Constrained Evolutionary Optimization , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[144] Janez Brest,et al. Self-Adaptive Differential Evolution Algorithm in Constrained Real-Parameter Optimization , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[145] Carlos A. Coello Coello,et al. Modified Differential Evolution for Constrained Optimization , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[146] Carlos A. Coello Coello,et al. A Particle Swarm Optimizer for Constrained Numerical Optimization , 2006, PPSN.
[147] Tetsuyuki Takahama,et al. Constrained Optimization by the ε Constrained Differential Evolution with Gradient-Based Mutation and Feasible Elites , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[148] C. Coello,et al. Cultured differential evolution for constrained optimization , 2006 .
[149] Jing J. Liang,et al. Problem Deflnitions and Evaluation Criteria for the CEC 2006 Special Session on Constrained Real-Parameter Optimization , 2006 .
[150] Enrique Raúl Villa Diharce,et al. PESO+for Constrained Optimization , 2006, IEEE Congress on Evolutionary Computation.
[151] J. Brest,et al. CONTROL PARAMETERS IN SELF-ADAPTIVE DIFFERENTIAL EVOLUTION , 2006 .
[152] R. Storn,et al. Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) , 2005 .
[153] Andries Petrus Engelbrecht,et al. Fundamentals of Computational Swarm Intelligence , 2005 .
[154] Frederico G. Guimarães,et al. Constraint quadratic approximation operator for treating equality constraints with genetic algorithms , 2005, 2005 IEEE Congress on Evolutionary Computation.
[155] Tetsuyuki Takahama,et al. Constrained Optimization by the epsilon Constrained Hybrid Algorithm of Particle Swarm Optimization and Genetic Algorithm , 2005, Australian Conference on Artificial Intelligence.
[156] Nicholas Young,et al. Blended Ranking to Cross Infeasible Regions in ConstrainedMultiobjective Problems , 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).
[157] Tetsuyuki Takahama,et al. Constrained optimization by applying the /spl alpha/ constrained method to the nonlinear simplex method with mutations , 2005, IEEE Transactions on Evolutionary Computation.
[158] Carlos A. Coello Coello,et al. Handling Constraints in Global Optimization Using an Artificial Immune System , 2005, ICARIS.
[159] Gary G. Yen,et al. A generic framework for constrained optimization using genetic algorithms , 2005, IEEE Transactions on Evolutionary Computation.
[160] Carlos A. Coello Coello,et al. Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization , 2005, GECCO '05.
[161] Angel Eduardo Muñoz Zavala,et al. Constrained optimization via particle evolutionary swarm optimization algorithm (PESO) , 2005, GECCO '05.
[162] Xin Yao,et al. Search biases in constrained evolutionary optimization , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[163] Carlos A. Coello Coello,et al. A simple multimembered evolution strategy to solve constrained optimization problems , 2005, IEEE Transactions on Evolutionary Computation.
[164] Yaochu Jin,et al. A comprehensive survey of fitness approximation in evolutionary computation , 2005, Soft Comput..
[165] Thomas Philip Runarsson,et al. Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models , 2004, PPSN.
[166] Carlos A. Coello Coello,et al. A constraint-handling mechanism for particle swarm optimization , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[167] Carlos A. Coello Coello,et al. Simple Feasibility Rules and Differential Evolution for Constrained Optimization , 2004, MICAI.
[168] Carlos A. Coello Coello,et al. Handling constraints using multiobjective optimization concepts , 2004 .
[169] Keigo Watanabe,et al. Evolutionary Optimization of Constrained Problems , 2004 .
[170] Dr. Zbigniew Michalewicz,et al. How to Solve It: Modern Heuristics , 2004 .
[171] Andres Angantyr,et al. Constrained optimization based on a multiobjective evolutionary algorithm , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[172] Jonathan A. Wright,et al. Self-adaptive fitness formulation for constrained optimization , 2003, IEEE Trans. Evol. Comput..
[173] Tapabrata Ray,et al. Society and civilization: An optimization algorithm based on the simulation of social behavior , 2003, IEEE Trans. Evol. Comput..
[174] Khaled Rasheed,et al. Constrained Multi-objective Optimization Using Steady State Genetic Algorithms , 2003, GECCO.
[175] T. Takahama,et al. Constrained Optimization by α Constrained Genetic Algorithm (αGA) , 2003 .
[176] Julian F. Miller,et al. Genetic and Evolutionary Computation — GECCO 2003 , 2003, Lecture Notes in Computer Science.
[177] A. E. Eiben,et al. Introduction to Evolutionary Computing , 2003, Natural Computing Series.
[178] Marco Laumanns,et al. Combining Convergence and Diversity in Evolutionary Multiobjective Optimization , 2002, Evolutionary Computation.
[179] Kevin M. Passino,et al. Biomimicry of bacterial foraging for distributed optimization and control , 2002 .
[180] Helio J. C. Barbosa,et al. An Adaptive Penalty Scheme In Genetic Algorithms For Constrained Optimiazation Problems , 2002, GECCO.
[181] Fernando José Von Zuben,et al. Learning and optimization using the clonal selection principle , 2002, IEEE Trans. Evol. Comput..
[182] Marc Schoenauer,et al. ASCHEA: new results using adaptive segregational constraint handling , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[183] A.F. Gomez-Skarmeta,et al. An evolutionary algorithm for constrained multi-objective optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[184] Carlos A. Coello Coello,et al. A parallel implementation of an artificial immune system to handle constraints in genetic algorithms: preliminary results , 2002, IEEE Congress on Evolutionary Computation.
[185] J. Lampinen. A constraint handling approach for the differential evolution algorithm , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[186] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[187] Tapabrata Ray,et al. A socio-behavioural simulation model for engineering design optimization , 2002 .
[188] Carlos Artemio Coello-Coello,et al. Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art , 2002 .
[189] T. Ray,et al. A swarm with an effective information sharing mechanism for unconstrained and constrained single objective optimisation problems , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[190] X. Yu,et al. Fuzzy Penalty Function Approach for Constrained Function Optimization with Evolutionary Algorithms , 2001 .
[191] Xin Yao,et al. Stochastic ranking for constrained evolutionary optimization , 2000, IEEE Trans. Evol. Comput..
[192] Tapabrata Ray,et al. An Evolutionary Algorithm for Constrained Optimization , 2000, GECCO.
[193] K. Deb. An Efficient Constraint Handling Method for Genetic Algorithms , 2000 .
[194] Carlos A. Coello Coello,et al. Use of a self-adaptive penalty approach for engineering optimization problems , 2000 .
[195] C. Coello. TREATING CONSTRAINTS AS OBJECTIVES FOR SINGLE-OBJECTIVE EVOLUTIONARY OPTIMIZATION , 2000 .
[196] Marc Schoenauer,et al. Adaptive Techniques for Evolutionary Topological Optimum Design , 2000 .
[197] K. Deb,et al. An alternative constraint handling method for evolution strategies , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[198] Zbigniew Michalewicz,et al. Evolutionary Algorithms, Homomorphous Mappings, and Constrained Parameter Optimization , 1999, Evolutionary Computation.
[199] Alan D. Christiansen,et al. MOSES: A MULTIOBJECTIVE OPTIMIZATION TOOL FOR ENGINEERING DESIGN , 1999 .
[200] Patrick Brézillon,et al. Lecture Notes in Artificial Intelligence , 1999 .
[201] Vassilios Petridis,et al. Varying Fitness Functions in Genetic Algorithms: Studying the Rate of Increase of the Dynamic Penalty Terms , 1998, PPSN.
[202] Zbigniew Michalewicz,et al. A Decoder-Based Evolutionary Algorithm for Constrained Parameter Optimization Problems , 1998, PPSN.
[203] Phil Husbands,et al. Landscape Changes and the Performance of Mapping Based Constraint Handling Methods , 1998, PPSN.
[204] Z. Michalewicz,et al. Your brains and my beauty: parent matching for constrained optimisation , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[205] Peter J. Fleming,et al. Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I. A unified formulation , 1998, IEEE Trans. Syst. Man Cybern. Part A.
[206] P. Husbands,et al. Mapping Based Constraint Handling for Evolutionary Search; Thurston’s Circle Packing and Grid Generation , 1998 .
[207] Khaled Rasheed,et al. An Adaptive Penalty Approach for Constrained Genetic-Algorithm Optimization , 1998 .
[208] R. Kowalczyk,et al. Constraint consistent genetic algorithms , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).
[209] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[210] D. Fogel. Evolutionary algorithms in theory and practice , 1997, Complex..
[211] James C. Bean,et al. A Genetic Algorithm for the Multiple-Choice Integer Program , 1997, Oper. Res..
[212] William A. Crossley,et al. A study of adaptive penalty functions for constrained genetic algorithm-based optimization , 1997 .
[213] Jeffrey Horn,et al. Handbook of evolutionary computation , 1997 .
[214] Zbigniew Michalewicz,et al. Handbook of Evolutionary Computation , 1997 .
[215] W. K. George,et al. University of Illinois at Urbana-Champain , 1997 .
[216] Zbigniew Michalewicz,et al. Boundary Operators for Constrained Parameter Optimization Problems , 1997, ICGA.
[217] Thomas E. Potok,et al. Evolutionary Computing , 2019, Encyclopedia of Machine Learning and Data Mining.
[218] Zbigniew Michalewicz,et al. Evolutionary Computation at the Edge of Feasibility , 1996, PPSN.
[219] Jongsoo Lee,et al. Constrained genetic search via schema adaptation: An immune network solution , 1996 .
[220] Zbigniew Michalewicz,et al. Evolutionary Algorithms for Constrained Parameter Optimization Problems , 1996, Evolutionary Computation.
[221] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.
[222] Frank Hoffmeister,et al. Problem-Independent Handling of Constraints by Use of Metric Penalty Functions , 1996, Evolutionary Programming.
[223] Z. Michalewicz,et al. Genocop III: a co-evolutionary algorithm for numerical optimization problems with nonlinear constraints , 1995, Proceedings of 1995 IEEE International Conference on Evolutionary Computation.
[224] Marco Tomassini,et al. Evolutionary Algorithms , 1995, Towards Evolvable Hardware.
[225] Raphael T. Haftka,et al. A Segregated Genetic Algorithm for Constrained Structural Optimization , 1995, ICGA.
[226] Ian C. Parmee,et al. The Ant Colony Metaphor for Searching Continuous Design Spaces , 1995, Evolutionary Computing, AISB Workshop.
[227] Christopher R. Houck,et al. On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GA's , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.
[228] Abdollah Homaifar,et al. Constrained Optimization Via Genetic Algorithms , 1994, Simul..
[229] Zbigniew Michalewicz,et al. Evolutionary optimization of constrained problems , 1994 .
[230] Michael M. Skolnick,et al. Using Genetic Algorithms in Engineering Design Optimization with Non-Linear Constraints , 1993, ICGA.
[231] Marc Schoenauer,et al. Constrained GA Optimization , 1993, ICGA.
[232] Heinz Mühlenbein,et al. Predictive Models for the Breeder Genetic Algorithm I. Continuous Parameter Optimization , 1993, Evolutionary Computation.
[233] Lashon B. Booker,et al. Proceedings of the fourth international conference on Genetic algorithms , 1991 .
[234] Thomas Bäck,et al. A Survey of Evolution Strategies , 1991, ICGA.
[235] G. Pólya,et al. How to Solve It , 1945 .
[236] Ángel Fernando Kuri Morales,et al. A UNIVERSAL ECLECTIC GENETIC ALGORITHM FOR CONSTRAINED OPTIMIZATION , 2022 .