Research Directions in Evolutionary Multi-Objective Optimization

[1]  Carlos A. Coello Coello,et al.  Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization , 2012, IEEE Transactions on Evolutionary Computation.

[2]  Carlos A. Coello Coello,et al.  A new multi-objective evolutionary algorithm based on a performance assessment indicator , 2012, GECCO.

[3]  Yi-Kuei Lin,et al.  Multi-objective optimization for stochastic computer networks using NSGA-II and TOPSIS , 2012, Eur. J. Oper. Res..

[4]  Frank Neumann,et al.  Computational complexity analysis of multi-objective genetic programming , 2012, GECCO '12.

[5]  Anne Auger,et al.  Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications , 2012, Theor. Comput. Sci..

[6]  Lucas Bradstreet,et al.  A Fast Way of Calculating Exact Hypervolumes , 2012, IEEE Transactions on Evolutionary Computation.

[7]  Carlos A. Coello Coello,et al.  On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem , 2011, IEEE Transactions on Evolutionary Computation.

[8]  Carlos A. Coello Coello,et al.  Improving the efficiency of ϵ-dominance based grids , 2011, Inf. Sci..

[9]  Tobias Friedrich,et al.  Convergence of hypervolume-based archiving algorithms I: effectiveness , 2011, GECCO '11.

[10]  Xiaodong Li,et al.  Swarm heuristic for identifying preferred solutions in surrogate-based multi-objective engineering design , 2011 .

[11]  Heike Trautmann,et al.  A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms , 2011, EMO.

[12]  Kalyanmoy Deb,et al.  AMGA2: improving the performance of the archive-based micro-genetic algorithm for multi-objective optimization , 2011 .

[13]  Peter J. Fleming,et al.  Diversity Management in Evolutionary Many-Objective Optimization , 2011, IEEE Transactions on Evolutionary Computation.

[14]  Eckart Zitzler,et al.  HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization , 2011, Evolutionary Computation.

[15]  Saúl Zapotecas Martínez,et al.  Self-adaptation Techniques Applied to Multi-Objective Evolutionary Algorithms , 2011, LION.

[16]  Carlos A. Coello Coello,et al.  Evolutionary Algorithms Applied to Multi-Objective Aerodynamic Shape Optimization , 2011, Computational Optimization, Methods and Algorithms.

[17]  Wenhui Fan,et al.  Hybrid Non-dominated Sorting Differential Evolutionary Algorithm with Nelder-Mead , 2010, 2010 Second WRI Global Congress on Intelligent Systems.

[18]  Murat Köksalan,et al.  An Interactive Territory Defining Evolutionary Algorithm: iTDEA , 2010, IEEE Transactions on Evolutionary Computation.

[19]  Jinhua Zheng,et al.  Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective Optimization , 2010, PPSN.

[20]  Saúl Zapotecas Martínez,et al.  A Memetic Algorithm with Non Gradient-Based Local Search Assisted by a Meta-model , 2010, PPSN.

[21]  Carlos A. Coello Coello,et al.  A Study of Multiobjective Metaheuristics When Solving Parameter Scalable Problems , 2010, IEEE Transactions on Evolutionary Computation.

[22]  Marco Laumanns,et al.  Computing Gap Free Pareto Front Approximations with Stochastic Search Algorithms , 2010, Evolutionary Computation.

[23]  Carlos A. Coello Coello,et al.  HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms , 2010, IEEE Transactions on Evolutionary Computation.

[24]  Andrew Lewis,et al.  Interactive multi-objective particle swarm optimization with heatmap-visualization-based user interface , 2010 .

[25]  Kiran Kumar Annamdas,et al.  Multi-objective optimization of engineering systems using game theory and particle swarm optimization , 2009 .

[26]  Eckart Zitzler,et al.  Objective Reduction in Evolutionary Multiobjective Optimization: Theory and Applications , 2009, Evolutionary Computation.

[27]  Hisao Ishibuchi,et al.  Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization , 2009, 2009 IEEE Congress on Evolutionary Computation.

[28]  Anne Auger,et al.  Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point , 2009, FOGA '09.

[29]  Sanjoy Das,et al.  A Multiobjective Evolutionary-Simplex Hybrid Approach for the Optimization of Differential Equation Models of Gene Networks , 2008, IEEE Transactions on Evolutionary Computation.

[30]  Saúl Zapotecas Martínez,et al.  A Proposal to Hybridize Multi-Objective Evolutionary Algorithms with Non-gradient Mathematical Programming Techniques , 2008, PPSN.

[31]  Lothar Thiele,et al.  SPAM: Set Preference Algorithm for Multiobjective Optimization , 2008, PPSN.

[32]  Frank Neumann,et al.  Runtime Analyses for Using Fairness in Evolutionary Multi-Objective Optimization , 2008, PPSN.

[33]  Hisao Ishibuchi,et al.  Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems , 2008, GECCO '08.

[34]  Frederico G. Guimarães,et al.  Local Search with Quadratic Approximations into Memetic Algorithms for Optimization with Multiple Criteria , 2008, Evolutionary Computation.

[35]  Carlos A. Coello Coello,et al.  Knowledge Incorporation in Multi-objective Evolutionary Algorithms , 2008, Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases.

[36]  Bernard De Baets,et al.  Fitness inheritance in multiple objective evolutionary algorithms: A test bench and real-world evaluation , 2008, Appl. Soft Comput..

[37]  Carlos A. Coello Coello,et al.  Pareto-adaptive -dominance , 2007, Evolutionary Computation.

[38]  Peter J. Fleming,et al.  On the Evolutionary Optimization of Many Conflicting Objectives , 2007, IEEE Transactions on Evolutionary Computation.

[39]  Qingfu Zhang,et al.  MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.

[40]  Nicola Beume,et al.  SMS-EMOA: Multiobjective selection based on dominated hypervolume , 2007, Eur. J. Oper. Res..

[41]  Kiyoshi Tanaka,et al.  Local dominance and local recombination in MOEAs on 0/1 multiobjective knapsack problems , 2007, Eur. J. Oper. Res..

[42]  Gianluca Palermo,et al.  Fitness inheritance in evolutionary and multi-objective high-level synthesis , 2007, 2007 IEEE Congress on Evolutionary Computation.

[43]  Sanjoy Das,et al.  Multi-objective hybrid PSO using µ-fuzzy dominance , 2007, GECCO '07.

[44]  A. Oyama,et al.  New Constraint-Handling Method for Multi-Objective and Multi-Constraint Evolutionary Optimization , 2007 .

[45]  Zbigniew Michalewicz,et al.  Parameter Control in Evolutionary Algorithms , 2007, Parameter Setting in Evolutionary Algorithms.

[46]  Kalyanmoy Deb,et al.  Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding , 2007, EMO.

[47]  Stefan Roth,et al.  Covariance Matrix Adaptation for Multi-objective Optimization , 2007, Evolutionary Computation.

[48]  Hans-Georg Beyer,et al.  Self-Adaptation in Evolutionary Algorithms , 2007, Parameter Setting in Evolutionary Algorithms.

[49]  Tapabrata Ray,et al.  A surrogate assisted parallel multiobjective evolutionary algorithm for robust engineering design , 2006 .

[50]  Gary B. Lamont,et al.  Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation) , 2006 .

[51]  Carlos A. Coello Coello,et al.  A Multi-objective Particle Swarm Optimizer Hybridized with Scatter Search , 2006, MICAI.

[52]  Carlos A. Coello Coello,et al.  Solving Hard Multiobjective Optimization Problems Using epsilon-Constraint with Cultured Differential Evolution , 2006, PPSN.

[53]  Peter A. N. Bosman,et al.  Combining gradient techniques for numerical multi-objective evolutionary optimization , 2006, GECCO '06.

[54]  Carlos A. Coello Coello,et al.  Asymptotic convergence of metaheuristics for multiobjective optimization problems , 2006, Soft Comput..

[55]  Marco Laumanns,et al.  An efficient, adaptive parameter variation scheme for metaheuristics based on the epsilon-constraint method , 2006, Eur. J. Oper. Res..

[56]  Carlos A. Coello Coello,et al.  Evolutionary multi-objective optimization: a historical view of the field , 2006, IEEE Comput. Intell. Mag..

[57]  Joshua D. Knowles,et al.  ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems , 2006, IEEE Transactions on Evolutionary Computation.

[58]  Carlos A. Coello Coello,et al.  A study of fitness inheritance and approximation techniques for multi-objective particle swarm optimization , 2005, 2005 IEEE Congress on Evolutionary Computation.

[59]  Hussein A. Abbass,et al.  Fitness inheritance for noisy evolutionary multi-objective optimization , 2005, GECCO '05.

[60]  Peter A. N. Bosman,et al.  Exploiting gradient information in numerical multi--objective evolutionary optimization , 2005, GECCO '05.

[61]  Nicola Beume,et al.  An EMO Algorithm Using the Hypervolume Measure as Selection Criterion , 2005, EMO.

[62]  Yaochu Jin,et al.  A comprehensive survey of fitness approximation in evolutionary computation , 2005, Soft Comput..

[63]  Frank Neumann,et al.  Expected runtimes of a simple evolutionary algorithm for the multi-objective minimum spanning tree problem , 2004, Eur. J. Oper. Res..

[64]  Marco Laumanns,et al.  Running time analysis of evolutionary algorithms on a simplified multiobjective knapsack problem , 2004, Natural Computing.

[65]  Xiaolin Hu,et al.  Hybridization of the multi-objective evolutionary algorithms and the gradient-based algorithms , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[66]  Oliver Giel,et al.  Expected runtimes of a simple multi-objective evolutionary algorithm , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[67]  Mikkel T. Jensen,et al.  Reducing the run-time complexity of multiobjective EAs: The NSGA-II and other algorithms , 2003, IEEE Trans. Evol. Comput..

[68]  Jonathan E. Fieldsend,et al.  Using unconstrained elite archives for multiobjective optimization , 2003, IEEE Trans. Evol. Comput..

[69]  Carlos A. Coello Coello,et al.  Evolutionary multiobjective optimization using a cultural algorithm , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).

[70]  M. Fleischer,et al.  The Measure of Pareto Optima , 2003, EMO.

[71]  Daisuke Sasaki,et al.  Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map , 2003, EMO.

[72]  Carlos A. Coello Coello,et al.  The Micro Genetic Algorithm 2: Towards Online Adaptation in Evolutionary Multiobjective Optimization , 2003, EMO.

[73]  David W. Corne,et al.  Properties of an adaptive archiving algorithm for storing nondominated vectors , 2003, IEEE Trans. Evol. Comput..

[74]  Marco Laumanns,et al.  Performance assessment of multiobjective optimizers: an analysis and review , 2003, IEEE Trans. Evol. Comput..

[75]  Marco Laumanns,et al.  Combining Convergence and Diversity in Evolutionary Multiobjective Optimization , 2002, Evolutionary Computation.

[76]  M. Farina,et al.  On the optimal solution definition for many-criteria optimization problems , 2002, 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622).

[77]  S. Schäffler,et al.  Stochastic Method for the Solution of Unconstrained Vector Optimization Problems , 2002 .

[78]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[79]  Ian C. Parmee,et al.  Preferences and their application in evolutionary multiobjective optimization , 2002, IEEE Trans. Evol. Comput..

[80]  R. J. Balling,et al.  The maximin fitness function for multi-objective evolutionary computation: application to city planning , 2001 .

[81]  C. Coello,et al.  Multiobjective optimization using a micro-genetic algorithm , 2001 .

[82]  Jörg Fliege,et al.  Steepest descent methods for multicriteria optimization , 2000, Math. Methods Oper. Res..

[83]  Günter Rudolph,et al.  Convergence properties of some multi-objective evolutionary algorithms , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

[84]  David W. Corne,et al.  Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy , 2000, Evolutionary Computation.

[85]  John E. Dennis,et al.  Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems , 1998, SIAM J. Optim..

[86]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

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[89]  Kalyanmoy Deb,et al.  Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms , 1994, Evolutionary Computation.

[90]  David E. Goldberg,et al.  A niched Pareto genetic algorithm for multiobjective optimization , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

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[94]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

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