Multi-Objective Evolutionary Algorithms: Past, Present, and Future

[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 , 1981 .

[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 , 2017, J. Glob. Optim..

[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).