Multi-Objective Evolutionary Algorithms: Past, Present, and Future
暂无分享,去创建一个
Carlos A. Coello Coello | Ma. Guadalupe Castillo Tapia | Silvia González Brambila | Josué Figueroa Gamboa | C. Coello | S. G. Brambila
[1] Michela Turrin,et al. Impacts of problem scale and sampling strategy on surrogate model accuracy: An application of surrogate-based optimization in building design , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[2] Duc Truong Pham,et al. Evolutionary many-objective optimization for mixed-model disassembly line balancing with multi-robotic workstations , 2019, Eur. J. Oper. Res..
[3] Weili Wang,et al. Multi-objective differential evolution with performance-metric-based self-adaptive mutation operator for chemical and biochemical dynamic optimization problems , 2017, Appl. Soft Comput..
[4] Xiangxiang Zeng,et al. Motion generation of multi-legged robot in complex terrains by using estimation of distribution algorithm , 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).
[5] Danial Ghodsiyeh,et al. Multi-objective optimization of wire electrical discharge machining process using evolutionary computation method: Effect of cutting variation , 2015 .
[6] Mark Fleischer,et al. The measure of pareto optima: Applications to multi-objective metaheuristics , 2003 .
[7] Carlos A. Coello Coello,et al. A multi-objective evolutionary hyper-heuristic based on multiple indicator-based density estimators , 2018, GECCO.
[8] Spiros M. Karakostas,et al. Land-use planning via enhanced multi-objective evolutionary algorithms: optimizing the land value of major Greenfield initiatives , 2016 .
[9] Regina Berretta,et al. PasMoQAP: A parallel asynchronous memetic algorithm for solving the Multi-Objective Quadratic Assignment Problem , 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).
[10] Mehmet Bayram Yildirim,et al. An energy-aware multiobjective ant colony algorithm to minimize total completion time and energy cost on a single-machine preemptive scheduling , 2019, Comput. Ind. Eng..
[11] Hisao Ishibuchi,et al. A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation , 2018, IEEE Transactions on Evolutionary Computation.
[12] Zhe Li,et al. Integrated design of active suspension parameters for solving negative vibration effects of switched reluctance-in-wheel motor electrical vehicles based on multi-objective particle swarm optimization , 2019 .
[13] Patrick M. Reed,et al. Borg: An Auto-Adaptive Many-Objective Evolutionary Computing Framework , 2013, Evolutionary Computation.
[14] Martin J. Oates,et al. PESA-II: region-based selection in evolutionary multiobjective optimization , 2001 .
[15] Carlos A. Coello Coello,et al. The Micro Genetic Algorithm 2: Towards Online Adaptation in Evolutionary Multiobjective Optimization , 2003, EMO.
[16] Kaisa Miettinen,et al. On Dealing with Uncertainties from Kriging Models in Offline Data-Driven Evolutionary Multiobjective Optimization , 2019, EMO.
[17] Kay Chen Tan,et al. A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[18] Yongping Chen,et al. Optimization of heat pipe with axial “Ω”-shaped micro grooves based on a niched Pareto genetic algorithm (NPGA) , 2009 .
[19] Richard Curran,et al. Delft University of Technology An improved MOEA/D algorithm for bi-objective optimization problems with complex Pareto fronts and its application to structural optimization , 2017 .
[20] C. Fonseca,et al. GENETIC ALGORITHMS FOR MULTI-OBJECTIVE OPTIMIZATION: FORMULATION, DISCUSSION, AND GENERALIZATION , 1993 .
[21] Bernabé Dorronsoro,et al. A Survey of Decomposition Methods for Multi-objective Optimization , 2014, Recent Advances on Hybrid Approaches for Designing Intelligent Systems.
[22] J. Dennis,et al. A closer look at drawbacks of minimizing weighted sums of objectives for Pareto set generation in multicriteria optimization problems , 1997 .
[23] Ling Wang,et al. Fixed-Structure $H_{\infty}$ Controller Synthesis Based on Differential Evolution With Level Comparison , 2011, IEEE Transactions on Evolutionary Computation.
[24] Hisao Ishibuchi,et al. Behavior of Multiobjective Evolutionary Algorithms on Many-Objective Knapsack Problems , 2015, IEEE Transactions on Evolutionary Computation.
[25] Markus Olhofer,et al. Test Problems for Large-Scale Multiobjective and Many-Objective Optimization , 2017, IEEE Transactions on Cybernetics.
[26] Eric Michielssen,et al. Integer coded Pareto genetic algorithm design of constrained antenna arrays , 1996 .
[27] S. Azarm,et al. On improving multiobjective genetic algorithms for design optimization , 1999 .
[28] Nicola Beume,et al. SMS-EMOA: Multiobjective selection based on dominated hypervolume , 2007, Eur. J. Oper. Res..
[29] Sanja Petrovic,et al. A new dispatching rule based genetic algorithm for the multi-objective job shop problem , 2010, J. Heuristics.
[30] Yingwu Chen,et al. The Bi-objective Active-Scan Agile Earth Observation Satellite Scheduling Problem: Modeling and Solution Approach , 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).
[31] Pramudita Satria Palar,et al. Multiple Metamodels for Robustness Estimation in Multi-objective Robust Optimization , 2017, EMO.
[32] P. Hajela,et al. Genetic search strategies in multicriterion optimal design , 1991 .
[33] Eckart Zitzler,et al. Objective Reduction in Evolutionary Multiobjective Optimization: Theory and Applications , 2009, Evolutionary Computation.
[34] Hans-Paul Schwefel,et al. Numerical Optimization of Computer Models , 1982 .
[35] Carlos A. Coello Coello,et al. Coevolutionary Multiobjective Evolutionary Algorithms: Survey of the State-of-the-Art , 2018, IEEE Trans. Evol. Comput..
[36] Consolación Gil,et al. Annealing-tabu PAES: a multi-objective hybrid meta-heuristic , 2011 .
[37] Joel N. Morse,et al. Reducing the size of the nondominated set: Pruning by clustering , 1980, Comput. Oper. Res..
[38] A H Moghadasi,et al. Pareto Optimality for the Design of SMES Solenoid Coils Verified by Magnetic Field Analysis , 2011, IEEE Transactions on Applied Superconductivity.
[39] Gary B. Lamont,et al. Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.
[40] Peter A. N. Bosman,et al. Large-scale parallelization of partial evaluations in evolutionary algorithms for real-world problems , 2018, GECCO.
[41] C. B. Lucasius,et al. Multicriteria target vector optimization of analytical procedures using a genetic algorithm: Part I. Theory, numerical simulations and application to atomic emission spectroscopy , 1992 .
[42] Marco Laumanns,et al. Performance assessment of multiobjective optimizers: an analysis and review , 2003, IEEE Trans. Evol. Comput..
[43] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[44] L. Lebensztajn,et al. Non-Dominated Sorting Genetic Algorithm Based on Reinforcement Learning to Optimization of Broad-Band Reflector Antennas Satellite , 2012, IEEE Transactions on Magnetics.
[45] C. Coello. TREATING CONSTRAINTS AS OBJECTIVES FOR SINGLE-OBJECTIVE EVOLUTIONARY OPTIMIZATION , 2000 .
[46] Aurora Trinidad Ramirez Pozo,et al. Grammatical Evolution for the Multi-Objective Integration and Test Order Problem , 2016, GECCO.
[47] Kalyanmoy Deb,et al. Challenges for evolutionary multiobjective optimization algorithms in solving variable-length problems , 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).
[48] Qi Wang,et al. Two-Objective Design of Benchmark Problems of a Water Distribution System via MOEAs: Towards the Best-Known Approximation of the True Pareto Front , 2015 .
[49] Vincent Roberge,et al. Comparison of Parallel Genetic Algorithm and Particle Swarm Optimization for Real-Time UAV Path Planning , 2013, IEEE Transactions on Industrial Informatics.
[50] Kalyanmoy Deb,et al. Improved Pruning of Non-Dominated Solutions Based on Crowding Distance for Bi-Objective Optimization Problems , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[51] Heike Trautmann,et al. 2 Indicator-Based Multiobjective Search , 2015, Evolutionary Computation.
[52] Jasper A Vrugt,et al. Improved evolutionary optimization from genetically adaptive multimethod search , 2007, Proceedings of the National Academy of Sciences.
[53] Ming Li,et al. Robust Controller Design for Main Steam Pressure Based on SPEA2 , 2011, ICIC.
[54] Jesús García,et al. Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm , 2008, GECCO '08.
[55] H. Kuhn. The Hungarian method for the assignment problem , 1955 .
[56] Fang Liu,et al. A Multiobjective Evolutionary Algorithm Based on Decision Variable Analyses for Multiobjective Optimization Problems With Large-Scale Variables , 2016, IEEE Transactions on Evolutionary Computation.
[57] Erik D. Goodman,et al. NSGA-II-based nonlinear PID controller tuning of greenhouse climate for reducing costs and improving performances , 2012, Neural Computing and Applications.
[58] Eckart Zitzler,et al. HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization , 2011, Evolutionary Computation.
[59] Ben Paechter,et al. Multi-objective optimisation of the pump scheduling problem using SPEA2 , 2005, 2005 IEEE Congress on Evolutionary Computation.
[60] W. Du,et al. Multi-objective differential evolution with ranking-based mutation operator and its application in chemical process optimization , 2014 .
[61] Carlos A. Coello Coello,et al. Evolutionary Many-Objective Optimization Based on Kuhn-Munkres' Algorithm , 2015, EMO.
[62] Tea Tusar,et al. Visualization of Pareto Front Approximations in Evolutionary Multiobjective Optimization: A Critical Review and the Prosection Method , 2015, IEEE Transactions on Evolutionary Computation.
[63] Spiros M. Karakostas,et al. Bridging the gap between multi-objective optimization and spatial planning: a new post-processing methodology capturing the optimum allocation of land uses against established transportation infrastructure , 2017 .
[64] Carlos A. Coello Coello,et al. An Overview of Weighted and Unconstrained Scalarizing Functions , 2017, EMO.
[65] Martin J. Oates,et al. The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation , 2000, PPSN.
[66] Carlos A. Coello Coello,et al. A Short Tutorial on Evolutionary Multiobjective Optimization , 2001, EMO.
[67] P. M. Frank,et al. Genetic evolving of dynamic neural networks with application to process fault diagnosis , 1999, 1999 European Control Conference (ECC).
[68] Michel Gendreau,et al. Hyper-heuristics: a survey of the state of the art , 2013, J. Oper. Res. Soc..
[69] Enrique Alba,et al. A Multi-Objective Evolutionary Algorithm based on Parallel Coordinates , 2016, GECCO.
[70] David J. Walker,et al. Multi-objective Optimisation with a Sequence-based Selection Hyper-heuristic , 2016, GECCO.
[71] Erella Eisenstadt,et al. Solving Multi-Objective Games using a-priori auxiliary criteria , 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).
[72] Qingfu Zhang,et al. Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms , 2013, IEEE Transactions on Evolutionary Computation.
[73] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[74] A. Allen,et al. Combined fitting of small‐ and wide‐angle X‐ray total scattering data from nanoparticles: benefits and issues , 2014 .
[75] Carlos M. Fonseca,et al. A Box Decomposition Algorithm to Compute the Hypervolume Indicator , 2015, Comput. Oper. Res..
[76] Min-xiang Huang,et al. Multi-Objective Optimal Power Flow Considering Transient Stability Based on Parallel NSGA-II , 2015, IEEE Transactions on Power Systems.
[77] Kalyanmoy Deb,et al. A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II , 2000, PPSN.
[78] Carlos A. Coello Coello,et al. A hyper-heuristic of scalarizing functions , 2017, GECCO.
[79] M. Tahar Kechadi,et al. Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications , 2010, Expert Syst. Appl..
[80] Xinchao Zhao,et al. A MOEA/D based approach for hospital department layout design , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[81] K. Deb. Solving goal programming problems using multi-objective genetic algorithms , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[82] Carlos A. Coello Coello,et al. Decomposition-Based Approach for Solving Large Scale Multi-objective Problems , 2016, PPSN.
[83] 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.
[84] Luis E. Zárate,et al. Multi-Objective Genetic Algorithm for Feature Selection in a Protein Function Prediction Context , 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).
[85] Christine L. Mumford,et al. Optimising large scale public transport network design problems using mixed-mode parallel multi-objective evolutionary algorithms , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[86] Hisao Ishibuchi,et al. Modified Distance Calculation in Generational Distance and Inverted Generational Distance , 2015, EMO.
[87] Kalyanmoy Deb,et al. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints , 2014, IEEE Transactions on Evolutionary Computation.
[88] Neil H. Eklund,et al. Multiobjective visible spectrum optimization: a genetic algorithm approach , 2002 .
[89] Xin Liu,et al. Distributed Parallel Particle Swarm Optimization for Multi-Objective and Many-Objective Large-Scale Optimization , 2017, IEEE Access.
[90] David W. Corne,et al. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy , 2000, Evolutionary Computation.
[91] Ali Haghighi,et al. Optimization of Pump Scheduling Program in Water Supply Systems Using a Self-Adaptive NSGA-II; a Review of Theory to Real Application , 2017, Water Resources Management.
[92] Mohammad Hadi Hajmohammad,et al. Optimization, modeling and accurate prediction of thermal conductivity and dynamic viscosity of stabilized ethylene glycol and water mixture Al2O3 nanofluids by NSGA-II using ANN , 2017 .
[93] Lawrence J. Fogel,et al. Artificial Intelligence through Simulated Evolution , 1966 .
[94] Yu Wang,et al. Multi-objective optimization of cascade reservoirs using NSGA-II: A case study of the Three Gorges-Gezhouba cascade reservoirs in the middle Yangtze River, China , 2017 .
[95] 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.
[96] Marco Laumanns,et al. SPEA2: Improving the strength pareto evolutionary algorithm , 2001 .
[97] Félix Mora-Camino,et al. A Bi-Criterion Approach for the Airlines Crew Rostering Problem , 2001, EMO.
[98] Kaisa Miettinen,et al. Nonlinear multiobjective optimization , 1998, International series in operations research and management science.
[99] Michael P. Fourman,et al. Compaction of Symbolic Layout Using Genetic Algorithms , 1985, ICGA.
[100] Carlos M. Fonseca,et al. Computing and Updating Hypervolume Contributions in Up to Four Dimensions , 2018, IEEE Transactions on Evolutionary Computation.
[101] John H. Holland,et al. Outline for a Logical Theory of Adaptive Systems , 1962, JACM.
[102] Alan D. Christiansen,et al. Two new GA-based methods for multiobjective optimization , 1998 .
[103] Hisao Ishibuchi,et al. Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes , 2017, IEEE Transactions on Evolutionary Computation.
[104] Carlos A. Coello Coello,et al. An improved version of a reference-based multi-objective evolutionary algorithm based on IGD+ , 2018, GECCO.
[105] M. Fallah,et al. ANN-based modeling and reducing dual-fuel engine’s challenging emissions by multi-objective evolutionary algorithm NSGA-II , 2016 .
[106] Heike Trautmann,et al. On the properties of the R2 indicator , 2012, GECCO '12.
[107] Hisao Ishibuchi,et al. Multi-objective genetic local search algorithm , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.
[108] Yanli Yin,et al. User-oriented many-objective cloud workflow scheduling based on an improved knee point driven evolutionary algorithm , 2017, Knowl. Based Syst..
[109] Helio J. C. Barbosa,et al. Inserting Co-Evolution Information from Contact Maps into a Multiobjective Genetic Algorithm for Protein Structure Prediction , 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).
[110] Mostafa Zandieh,et al. Bi-objective partial flexible job shop scheduling problem: NSGA-II, NRGA, MOGA and PAES approaches , 2012 .
[111] Ye Tian,et al. A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization , 2018, IEEE Transactions on Evolutionary Computation.
[112] Adriana Menchaca-Mendez,et al. An alternative hypervolume-based selection mechanism for multi-objective evolutionary algorithms , 2017, Soft Comput..
[113] D. B. Das,et al. New multi-objective stochastic search technique for economic load dispatch , 1998 .
[114] J. A. Domínguez-Navarro,et al. NSGA and SPEA Applied to Multiobjective Design of Power Distribution Systems , 2006, IEEE Transactions on Power Systems.
[115] Nicola Beume,et al. An EMO Algorithm Using the Hypervolume Measure as Selection Criterion , 2005, EMO.
[116] 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).
[117] E. Soubeiga,et al. Multi-Objective Hyper-Heuristic Approaches for Space Allocation and Timetabling , 2005 .
[118] Carlos A. Coello Coello,et al. Multiobjective Evolutionary Algorithms in Aeronautical and Aerospace Engineering , 2012, IEEE Transactions on Evolutionary Computation.
[119] Brian White,et al. Fuzzy autopilot design using a multiobjective evolutionary algorithm , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[120] Dirk Thierens,et al. Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm , 2017, GECCO.
[121] Carlos A. Coello Coello,et al. Ranking Methods for Many-Objective Optimization , 2009, MICAI.
[122] Alexander Egyed,et al. Comparative analysis of classical multi-objective evolutionary algorithms and seeding strategies for pairwise testing of Software Product Lines , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[123] Joshua D. Knowles. Local-search and hybrid evolutionary algorithms for Pareto optimization , 2002 .
[124] Carlos A. Coello Coello,et al. Parallelism in divide-and-conquer non-dominated sorting: a theoretical study considering the PRAM-CREW model , 2019, Journal of Heuristics.
[125] Juliane Müller,et al. SOCEMO: Surrogate Optimization of Computationally Expensive Multiobjective Problems , 2017, INFORMS J. Comput..
[126] Gilberto Reynoso-Meza,et al. Multi-objective Support Vector Machines Ensemble Generation for Water Quality Monitoring , 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).
[127] Carlos A. Coello Coello,et al. Improved Metaheuristic Based on the R2 Indicator for Many-Objective Optimization , 2015, GECCO.
[128] António Gaspar-Cunha,et al. Portfolio Implementation Risk Management Using Evolutionary Multiobjective Optimization , 2017 .
[129] Stefan Roth,et al. Covariance Matrix Adaptation for Multi-objective Optimization , 2007, Evolutionary Computation.
[130] Eckart Zitzler,et al. Evolutionary algorithms for multiobjective optimization: methods and applications , 1999 .
[131] Howon Lee,et al. Improving Surface Roughness of Additively Manufactured Parts Using a Photopolymerization Model and Multi-Objective Particle Swarm Optimization , 2019, Applied Sciences.
[132] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[133] Fei Li,et al. A two-stage R2 indicator based evolutionary algorithm for many-objective optimization , 2018, Appl. Soft Comput..
[134] Ali Dastfan,et al. Optimal Controller Design for Single-Phase PFC Rectifiers Using SPEA Multi-Objective Optimization , 2012 .
[135] Nicola Beume,et al. On the Complexity of Computing the Hypervolume Indicator , 2009, IEEE Transactions on Evolutionary Computation.
[136] Leocadio G. Casado,et al. Non-dominated sorting procedure for Pareto dominance ranking on multicore CPU and/or GPU , 2016, Journal of Global Optimization.
[137] Eckart Zitzler,et al. Indicator-Based Selection in Multiobjective Search , 2004, PPSN.
[138] Lawrence J. Fogel,et al. Intelligence Through Simulated Evolution: Forty Years of Evolutionary Programming , 1999 .
[139] Xin Yao,et al. How well do multi-objective evolutionary algorithms scale to large problems , 2007, 2007 IEEE Congress on Evolutionary Computation.
[140] Kalyanmoy Deb,et al. Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms , 1994, Evolutionary Computation.
[141] Jian Song,et al. Adaptive surrogate model based multiobjective optimization for coastal aquifer management , 2018, Journal of Hydrology.
[142] David W. Corne,et al. Properties of an adaptive archiving algorithm for storing nondominated vectors , 2003, IEEE Trans. Evol. Comput..
[143] Andrzej Jaszkiewicz,et al. Improved quick hypervolume algorithm , 2016, Comput. Oper. Res..
[144] Carlos A. Coello Coello,et al. IGD+-EMOA: A multi-objective evolutionary algorithm based on IGD+ , 2016, CEC.
[145] Carlos A. Coello Coello,et al. Evolutionary many-objective optimization based on linear assignment problem transformations , 2018, Soft Comput..
[146] Peng Yue,et al. An Improved Multi-Objective Optimization Algorithm Based on NPGA for Cloud Task Scheduling , 2016 .
[147] Masatoshi Shimoda,et al. Multi-objective free-form optimization for shape and thickness of shell structures with composite materials , 2016 .
[148] Mariana Mendes Guimaraes,et al. A Multiobjective Approach Applying in a Brazilian Emergency Medical Service , 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).