Multi-objective Evolutionary Algorithms in Real-World Applications: Some Recent Results and Current Challenges
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[1] Yaochu Jin,et al. A comprehensive survey of fitness approximation in evolutionary computation , 2005, Soft Comput..
[2] R. Lyndon While,et al. A Scalable Multi-objective Test Problem Toolkit , 2005, EMO.
[3] Gade Pandu Rangaiah,et al. Multi-objective optimization : techniques and applications in chemical engineering , 2017 .
[4] Carlos A. Coello Coello,et al. Micro-MOPSO: A Multi-Objective Particle Swarm Optimizer That Uses a Very Small Population Size , 2010, Multi-Objective Swarm Intelligent System.
[5] Lothar Thiele,et al. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results , 2000, Evolutionary Computation.
[6] Kalyanmoy Deb,et al. Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.
[7] Carlos A. Coello Coello,et al. Optimization with constraints using a cultured differential evolution approach , 2005, GECCO '05.
[8] Satchidananda Dehuri,et al. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases , 2008, Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases.
[9] R. Lyndon While,et al. A review of multiobjective test problems and a scalable test problem toolkit , 2006, IEEE Transactions on Evolutionary Computation.
[10] Jacques Periaux,et al. Multi-objective robust design optimisation using hierarchical asynchronous parallel asynchronous evolutionary algorithms , 2005 .
[11] Bernard De Baets,et al. Fitness inheritance in multiple objective evolutionary algorithms: A test bench and real-world evaluation , 2008, Appl. Soft Comput..
[12] Rajkumar Buyya,et al. Multiobjective differential evolution for scheduling workflow applications on global Grids , 2009 .
[13] Zbigniew Michalewicz,et al. Using Cultural Algorithms for Constraint Handling in GENOCOP , 1995, Evolutionary Programming.
[14] Yi Chen,et al. Terahertz spectroscopic uncertainty analysis for explosive mixture components determination using multi-objective micro-genetic algorithm , 2011, Adv. Eng. Softw..
[15] Michèle Sebag,et al. Dominance-Based Pareto-Surrogate for Multi-Objective Optimization , 2010, SEAL.
[16] Carlos A. Coello Coello,et al. Microgenetic multiobjective reconfiguration algorithm considering power losses and reliability indices for medium voltage distribution network , 2009 .
[17] Horst Baier,et al. A Multi -objective Evolutionary Algorithm with integrated Response Surface Functionalt ities for Configuration Optimization with Di screte Variables , 2004 .
[18] Robert G. Reynolds,et al. CAEP: An Evolution-Based Tool for Real-Valued Function Optimization Using Cultural Algorithms , 1998, Int. J. Artif. Intell. Tools.
[19] Tapabrata Ray,et al. Surrogate Assisted Evolutionary Algorithm for Multiobjective Optimization , 2006 .
[20] Gianluca Palermo,et al. Fitness inheritance in evolutionary and multi-objective high-level synthesis , 2007, 2007 IEEE Congress on Evolutionary Computation.
[21] Carlos A. Coello Coello,et al. Dynamic fitness inheritance proportion for multi-objective particle swarm optimization , 2006, GECCO.
[22] D. Goldberg,et al. Don't evaluate, inherit , 2001 .
[23] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[24] David W. Corne,et al. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy , 2000, Evolutionary Computation.
[25] David E. Goldberg,et al. Fitness Inheritance In Multi-objective Optimization , 2002, GECCO.
[26] Marco Laumanns,et al. Scalable Test Problems for Evolutionary Multiobjective Optimization , 2005, Evolutionary Multiobjective Optimization.
[27] R. Reynolds,et al. Using knowledge-based evolutionary computation to solve nonlinear constraint optimization problems: a cultural algorithm approach , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[28] Carlos A. Coello Coello,et al. A Multi-objective Particle Swarm Optimizer Hybridized with Scatter Search , 2006, MICAI.
[29] Gary B. Lamont,et al. Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.
[30] Jaroslav Hájek,et al. Aerodynamic optimization via multi-objective micro-genetic algorithm with range adaptation, knowledge-based reinitialization, crowding and epsilon-dominance , 2009, Adv. Eng. Softw..
[31] Carlos A. Coello Coello,et al. Solving Hard Multiobjective Optimization Problems Using epsilon-Constraint with Cultured Differential Evolution , 2006, PPSN.
[32] Kim Fung Man,et al. Multiobjective Optimization , 2011, IEEE Microwave Magazine.
[33] Kazuhiro Nakahashi,et al. Navier-Stokes Optimization of Supersonic Wings with Four Objectives Using Evolutionary Algorithm , 2002 .
[34] Carlos A. Coello Coello,et al. HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms , 2010, IEEE Transactions on Evolutionary Computation.
[35] Yaohang Li,et al. DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture , 2011, New Generation Computing.
[36] Yaonan Wang,et al. Multi-objective self-adaptive differential evolution with elitist archive and crowding entropy-based diversity measure , 2010, Soft Comput..
[37] Lakhmi C. Jain,et al. Evolutionary Multiobjective Optimization , 2005, Evolutionary Multiobjective Optimization.
[38] Patrick Brézillon,et al. Lecture Notes in Artificial Intelligence , 1999 .
[39] L. Jain,et al. Evolutionary multiobjective optimization : theoretical advances and applications , 2005 .
[40] Tapabrata Ray,et al. A surrogate assisted parallel multiobjective evolutionary algorithm for robust engineering design , 2006 .
[41] Mietek A. Brdys,et al. Grid Implementation of a Parallel Multiobjective Genetic Algorithm for Optimized Allocation of Chlorination Stations in Drinking Water Distribution Systems: Chojnice Case Study , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[42] David W. Corne,et al. Properties of an adaptive archiving algorithm for storing nondominated vectors , 2003, IEEE Trans. Evol. Comput..
[43] C. Coello,et al. Multiobjective optimization using a micro-genetic algorithm , 2001 .
[44] Kalyanmoy Deb,et al. AMGA: an archive-based micro genetic algorithm for multi-objective optimization , 2008, GECCO '08.
[45] Luis F. Gonzalez,et al. A Generic Framework for the Design Optimisation of Multidisciplinary UAV Intelligent Systems using Evolutionary Computing , 2006 .
[46] Andy J. Keane,et al. Robust structural design of a simplified jet engine model, using multiobjective optimization , 2006 .
[47] T. M. English. Proceedings of the third annual conference on evolutionary programming: A.V. Sebald and L.J. Fogel, River Edge, NJ: World Scientific, ISBN 981-02-1810-9, 371 pages, hardbound, $78 , 1995 .
[48] Jerzy W. Grzymala-Busse,et al. Rough Sets , 1995, Commun. ACM.
[49] Naim Dahnoun,et al. Studies in Computational Intelligence , 2013 .
[50] Francisco Luna,et al. Parallel Multiobjective Optimization , 2005 .
[51] Roman Neruda,et al. An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization , 2012, 2012 IEEE Congress on Evolutionary Computation.
[52] Robert E. Smith,et al. Fitness inheritance in genetic algorithms , 1995, SAC '95.
[53] Carlos A. Coello Coello,et al. A New Proposal for Multiobjecive Optimization Using Particle Swarm Optimization and Rough Sets Theory , 2006, PPSN.
[54] Z. Pawlak. Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .
[55] Carlos A. Coello Coello,et al. The EMOO repository: a resource for doing research in evolutionary multiobjective optimization , 2006, IEEE Comput. Intell. Mag..
[56] Carlos A. Coello Coello,et al. Towards a More Efficient Multi-Objective Particle Swarm Optimizer , 2008 .
[57] Saúl Zapotecas Martínez,et al. A hybridization of MOEA/D with the nonlinear simplex search algorithm , 2013, 2013 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM).
[58] Carlos A. Coello Coello,et al. A Micro-Genetic Algorithm for Multiobjective Optimization , 2001, EMO.
[59] El-Ghazali Talbi,et al. Designing cellular networks using a parallel hybrid metaheuristic on the computational grid , 2007, Comput. Commun..
[60] Carlos A. Coello Coello,et al. Hybridizing surrogate techniques, rough sets and evolutionary algorithms to efficiently solve multi-objective optimization problems , 2008, GECCO '08.
[61] Saúl Zapotecas Martínez,et al. A Proposal to Hybridize Multi-Objective Evolutionary Algorithms with Non-gradient Mathematical Programming Techniques , 2008, PPSN.
[62] Hyoung Seog Chung. Multidisciplinary design optimization of supersonic business jets using approximation model-based genetic algorithms , 2004 .
[63] Carlos A. Coello Coello,et al. A Review of Techniques for Handling Expensive Functions in Evolutionary Multi-Objective Optimization , 2010 .
[64] Robert G. Reynolds,et al. A Cultural Algorithm Framework to Evolve Multi-Agent Cooperation with Evolutionary Programming , 1997, Evolutionary Programming.
[65] Luis F. Gonzalez,et al. Robust design optimisation using multi-objectiveevolutionary algorithms , 2008 .
[66] Kyriakos C. Giannakoglou,et al. Multilevel Optimization Algorithms Based on Metamodel- and Fitness Inheritance-Assisted Evolutionary Algorithms , 2010 .
[67] Robert G. Reynolds,et al. Knowledge-based self-adaptation in evolutionary programming using cultural algorithms , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).
[68] Robert G. Reynolds,et al. Multi-objective Cultural Algorithms , 2010, IEEE Congress on Evolutionary Computation.
[69] Bernhard Sendhoff,et al. Generalizing Surrogate-Assisted Evolutionary Computation , 2010, IEEE Transactions on Evolutionary Computation.
[70] Carlos A. Coello Coello,et al. Knowledge Incorporation in Multi-objective Evolutionary Algorithms , 2008, Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases.
[71] Juan J. Alonso,et al. Mutiobjective Optimization Using Approximation Model-Based Genetic Algorithms , 2004 .
[72] Saúl Zapotecas Martínez,et al. MOEA/D assisted by rbf networks for expensive multi-objective optimization problems , 2013, GECCO '13.
[73] Kalmanje Krishnakumar,et al. Micro-Genetic Algorithms For Stationary And Non-Stationary Function Optimization , 1990, Other Conferences.
[74] El-Ghazali Talbi,et al. GPU-Based Approaches for Multiobjective Local Search Algorithms. A Case Study: The Flowshop Scheduling Problem , 2011, EvoCOP.
[75] Flávio Neves,et al. A micro-genetic algorithm for multi-objective scheduling of a real world pipeline network , 2013, Eng. Appl. Artif. Intell..
[76] Hirotaka Nakayama,et al. Meta-Modeling in Multiobjective Optimization , 2008, Multiobjective Optimization.
[77] J.-C. Vannier,et al. Multiobjective Location of Automatic Voltage Regulators in a Radial Distribution Network Using a Micro Genetic Algorithm , 2007, IEEE Transactions on Power Systems.
[78] Saúl Zapotecas Martínez,et al. A direct local search mechanism for decomposition-based multi-objective evolutionary algorithms , 2012, 2012 IEEE Congress on Evolutionary Computation.
[79] Julian F. Miller,et al. Genetic and Evolutionary Computation — GECCO 2003 , 2003, Lecture Notes in Computer Science.
[80] Kalyanmoy Deb,et al. An Investigation of Niche and Species Formation in Genetic Function Optimization , 1989, ICGA.
[81] Pierre Collet,et al. GPGPU-Compatible Archive Based Stochastic Ranking Evolutionary Algorithm (G-ASREA) for Multi-Objective Optimization , 2010, PPSN.
[82] 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).
[83] Nicola Beume,et al. SMS-EMOA: Multiobjective selection based on dominated hypervolume , 2007, Eur. J. Oper. Res..
[84] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[85] Kazuhiro Nakahashi,et al. High-Fidelity Multidisciplinary Design Optimization of Wing Shape for Regional Jet Aircraft , 2005, EMO.
[86] Nadia Nedjah,et al. Multi-Objective Swarm Intelligent Systems - Theory & Experiences , 2010, Multi-Objective Swarm Intelligent Systems.
[87] Kalyanmoy Deb,et al. AMGA2: improving the performance of the archive-based micro-genetic algorithm for multi-objective optimization , 2011 .
[88] Carlos A. Coello Coello,et al. The Micro Genetic Algorithm 2: Towards Online Adaptation in Evolutionary Multiobjective Optimization , 2003, EMO.
[89] Kiyoharu Tagawa,et al. Indicator-based differential evolution using exclusive hypervolume approximation and parallelization for multi-core processors , 2011, GECCO '11.
[90] Carlos A. Coello Coello,et al. On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms , 2013, EVOLVE.
[91] Carlos A. Coello Coello,et al. A painless gradient-assisted multi-objective memetic mechanism for solving continuous bi-objective optimization problems , 2010, IEEE Congress on Evolutionary Computation.
[92] Carlos A. Coello Coello,et al. DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems , 2010, Comput. Oper. Res..
[93] Saúl Zapotecas Martínez,et al. Combining surrogate models and local search for dealing with expensive multi-objective optimization problems , 2013, 2013 IEEE Congress on Evolutionary Computation.