A Novel Diversity-Based Replacement Strategy for Evolutionary Algorithms
暂无分享,去创建一个
Carlos A. Coello Coello | Eduardo Segredo | Carlos Segura | Arturo Hernández Aguirre | A. H. Aguirre | C. C. Coello | Eduardo Segredo | C. Segura
[1] Riccardo Poli,et al. Product Geometric Crossover , 2006, PPSN.
[2] A. E. Eiben,et al. Introduction to Evolutionary Computing , 2003, Natural Computing Series.
[3] Richard A. Watson,et al. Reducing Local Optima in Single-Objective Problems by Multi-objectivization , 2001, EMO.
[4] Ankit Chaudhary,et al. A comparative review of approaches to prevent premature convergence in GA , 2014, Appl. Soft Comput..
[5] Thomas Stützle,et al. Automatically Improving the Anytime Behaviour of Multiobjective Evolutionary Algorithms , 2013, EMO.
[6] Shiu Yin Yuen,et al. A Genetic Algorithm That Adaptively Mutates and Never Revisits , 2009, IEEE Trans. Evol. Comput..
[7] Hisao Ishibuchi,et al. Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling , 2003, IEEE Trans. Evol. Comput..
[8] Georges R. Harik,et al. Finding Multimodal Solutions Using Restricted Tournament Selection , 1995, ICGA.
[9] Kevin Kok Wai Wong,et al. Classification of adaptive memetic algorithms: a comparative study , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[10] Pedro J. Ballester,et al. An Effective Real-Parameter Genetic Algorithm with Parent Centric Normal Crossover for Multimodal Optimisation , 2004, GECCO.
[11] Jean-Baptiste Mouret. Novelty-Based Multiobjectivization , 2011 .
[12] Carlos A. Coello Coello,et al. A Study of Multiobjective Metaheuristics When Solving Parameter Scalable Problems , 2010, IEEE Transactions on Evolutionary Computation.
[13] Sanyang Liu,et al. A Cluster-Based Differential Evolution With Self-Adaptive Strategy for Multimodal Optimization , 2014, IEEE Transactions on Cybernetics.
[14] Carlos A. Coello Coello,et al. An analysis of the automatic adaptation of the crossover rate in differential evolution , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[15] Seng,et al. Theory and Principled Methods for the Design of Metaheuristics , 2013 .
[16] Kalyanmoy Deb,et al. An Investigation of Niche and Species Formation in Genetic Function Optimization , 1989, ICGA.
[17] Hisao Ishibuchi,et al. Diversity Improvement by Non-Geometric Binary Crossover in Evolutionary Multiobjective Optimization , 2010, IEEE Transactions on Evolutionary Computation.
[18] Eduardo Segredo,et al. Fuzzy logic-controlled diversity-based multi-objective memetic algorithm applied to a frequency assignment problem , 2014, Eng. Appl. Artif. Intell..
[19] Gara Miranda,et al. A memetic algorithm and a parallel hyperheuristic island-based model for a 2D packing problem , 2009, GECCO.
[20] Gara Miranda,et al. Metco: a Parallel Plugin-Based Framework for Multi-Objective Optimization , 2009, Int. J. Artif. Intell. Tools.
[21] V. K. Koumousis,et al. A saw-tooth genetic algorithm combining the effects of variable population size and reinitialization to enhance performance , 2006, IEEE Transactions on Evolutionary Computation.
[22] Larry J. Eshelman,et al. The CHC Adaptive Search Algorithm: How to Have Safe Search When Engaging in Nontraditional Genetic Recombination , 1990, FOGA.
[23] Samir W. Mahfoud. Crowding and Preselection Revisited , 1992, PPSN.
[24] Cláudio F. Lima,et al. Adaptive Population Sizing Schemes in Genetic Algorithms , 2007, Parameter Setting in Evolutionary Algorithms.
[25] Byung Ro Moon,et al. A hybrid genetic algorithm for a variant of two-dimensional packing problem , 2009, GECCO '09.
[26] Kay Chen Tan,et al. Adaptive Memetic Computing for Evolutionary Multiobjective Optimization , 2015, IEEE Transactions on Cybernetics.
[27] A. E. Eiben,et al. On Evolutionary Exploration and Exploitation , 1998, Fundam. Informaticae.
[28] Gara Miranda,et al. Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization , 2016, Ann. Oper. Res..
[29] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[30] Alain Pétrowski,et al. A clearing procedure as a niching method for genetic algorithms , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.
[31] Gara Miranda,et al. Improving the diversity preservation of multi-objective approaches used for single-objective optimization , 2013, 2013 IEEE Congress on Evolutionary Computation.
[32] Eduardo Segredo,et al. Parallel island-based multiobjectivised memetic algorithms for a 2D packing problem , 2011, GECCO '11.
[33] Francisco Herrera,et al. Replacement strategies to preserve useful diversity in steady-state genetic algorithms , 2008, Inf. Sci..
[34] Tzung-Pei Hong,et al. Two-dimentional Encoding Schema and Genetic Operators , 2006, JCIS.
[35] Michel Gendreau,et al. A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows , 2013, Comput. Oper. Res..
[36] Thomas Jansen,et al. On the Analysis of Dynamic Restart Strategies for Evolutionary Algorithms , 2002, PPSN.
[37] K. Dejong,et al. An analysis of the behavior of a class of genetic adaptive systems , 1975 .
[38] Yangmin Li,et al. A Memetic Algorithm for Global Optimization of Multimodal Nonseparable Problems , 2016, IEEE Transactions on Cybernetics.
[39] Hisao Ishibuchi,et al. How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms , 2010, PPSN.
[40] Gara Miranda,et al. Using multi-objective evolutionary algorithms for single-objective optimization , 2013, 4OR.
[41] Maolin Tang,et al. A Memetic Algorithm for the Location-Based Continuously Operating Reference Stations Placement Problem in Network Real-Time Kinematic , 2015, IEEE Transactions on Cybernetics.
[42] Jun Chen,et al. The Shifting Balance Genetic Algorithm as More than Just Another Island Model GA , 2004, GECCO.
[43] Marjan Mernik,et al. Exploration and exploitation in evolutionary algorithms: A survey , 2013, CSUR.
[44] Enrique Alba,et al. Parallel Metaheuristics: A New Class of Algorithms , 2005 .
[45] Lothar Thiele,et al. A Comparison of Selection Schemes Used in Evolutionary Algorithms , 1996, Evolutionary Computation.
[46] Hussein A. Abbass,et al. Multiobjective optimization for dynamic environments , 2005, 2005 IEEE Congress on Evolutionary Computation.
[47] Erick Cantú-Paz,et al. Efficient and Accurate Parallel Genetic Algorithms , 2000, Genetic Algorithms and Evolutionary Computation.
[48] James P. Cohoon,et al. C6.3 Island (migration) models: evolutionary algorithms based on punctuated equilibria , 1997 .
[49] U Aickelin,et al. Handbook of metaheuristics (International series in operations research and management science) , 2005 .
[50] Ole J. Mengshoel,et al. A Novel Mating Approach for Genetic Algorithms , 2013, Evolutionary Computation.
[51] Amit Konar,et al. Two improved differential evolution schemes for faster global search , 2005, GECCO '05.
[52] D. J. Cavicchio,et al. Adaptive search using simulated evolution , 1970 .
[53] Eduardo Segredo,et al. Memetic algorithms and hyperheuristics applied to a multiobjectivised two-dimensional packing problem , 2014, J. Glob. Optim..
[54] Francisco Herrera,et al. Fuzzy adaptive genetic algorithms: design, taxonomy, and future directions , 2003, Soft Comput..
[55] Samir W. Mahfoud. Niching methods for genetic algorithms , 1996 .
[56] Yong Wang,et al. MOMMOP: Multiobjective Optimization for Locating Multiple Optimal Solutions of Multimodal Optimization Problems , 2015, IEEE Transactions on Cybernetics.
[57] Ole J. Mengshoel,et al. Adaptive generalized crowding for genetic algorithms , 2014, Inf. Sci..
[58] Zbigniew Michalewicz,et al. Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem , 2014, IEEE Computational Intelligence Magazine.
[59] P. N. Suganthan,et al. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[60] Meie Shen,et al. Differential Evolution With Two-Level Parameter Adaptation , 2014, IEEE Transactions on Cybernetics.
[61] David E. Goldberg,et al. Probabilistic Crowding: Deterministic Crowding with Probabilistic Replacement , 1999 .