Keyword

evolutionary multi-objective optimization

Description: A class of evolutionary optimization methods for finding solutions that balance multiple, often conflicting, objective functions.

Primary topic: Advanced Multi-Objective Optimization Algorithms (50%)

OpenAlex ID: keywords/evolutionary-multi-objective-optimization

Evolutionary multi-objective optimization: a historical view of the field

2006 · C.A. Coello Coello · IEEE Computational Intelligence Magazine · 1,447

Grasshopper optimization algorithm for multi-objective optimization problems

2017 · Seyedeh Zahra Mirjalili, Seyedeh Zahra Mirjalili, et al. · Applied Intelligence · 759

Reference point based multi-objective optimization using evolutionary algorithms

2006 · Kalyanmoy Deb, J. Sundar · Genetic and Evolutionary Computation Conference (GECCO) · 621

A benchmark test suite for evolutionary many-objective optimization

2017 · Ran Cheng, Miqing Li, et al. · Complex & Intelligent Systems · 503

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Pareto-, Aggregation-, and Indicator-Based Methods in Many-Objective Optimization

2007 · Tobias Wagner, Nicola Beume, et al. · Springer eBooks · 433

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Evolutionary Multi-Objective Workflow Scheduling in Cloud

2015 · Zhaomeng Zhu, Gongxuan Zhang, et al. · IEEE Transactions on Parallel and Distributed Systems · 402

Reference Point Based Multi-Objective Optimization Using Evolutionary Algorithms

2006 · Kalyanmoy Deb, J. Sundar, et al. · International Journal of Computational Intelligence Research · 371

Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design

2005 · J.B. Kollat, P.M. Reed · Advances in Water Resources · 329

Guidance in evolutionary multi-objective optimization

2001 · J Branke, T Kaußler, et al. · Advances in Engineering Software · 309

Scalable test problems for evolutionary multi-objective optimization

2001 · Deb, Kalyanmoy, Thiele, Lothar, et al. · Repository for Publications and Research Data (ETH Zurich) · 298

Towards a Quick Computation of Well-Spread Pareto-Optimal Solutions

2003 · Kalyanmoy Deb, Manikanth Mohan, et al. · Lecture notes in computer science · 262

How to Specify a Reference Point in Hypervolume Calculation for Fair Performance Comparison

2018 · Hisao Ishibuchi, Ryo Imada, et al. · Evolutionary Computation · 238

Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization

2022 · Ye Tian, Xiaopeng Li, et al. · IEEE Transactions on Emerging Topics in Computational Intelligence · 235

Performance comparison of NSGA-II and NSGA-III on various many-objective test problems

2016 · Hisao Ishibuchi, Ryo Imada, et al. · IEEE Congress on Evolutionary Computation (CEC) · 232

Integrating User Preferences into Evolutionary Multi-Objective Optimization

2005 · Jürgen Branke, Kalyanmoy Deb · Studies in fuzziness and soft computing · 212

A Hybrid Framework for Evolutionary Multi-Objective Optimization

2012 · Karthik Sindhya, Kaisa Miettinen, et al. · IEEE Transactions on Evolutionary Computation · 210

Multi-Objective Machine Learning

2006 · Jin, Yaochu · Studies in computational intelligence · 199

High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm

2017 · Gai-Ge Wang, Xingjuan Cai, et al. · IEEE Transactions on Emerging Topics in Computing · 195

Niching particle swarm optimization with local search for multi-modal optimization

2012 · B.Y. Qu, J.J. Liang, et al. · Information Sciences · 188

Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations

2018 · Huangke Chen, Ran Cheng, et al. · Information Sciences · 187

Methods for multi-objective investment and operating optimization of complex energy systems

2012 · Samira Fazlollahi, Pierre Mandel, et al. · Energy · 180

Light beam search based multi-objective optimization using evolutionary algorithms

2007 · Kalyanmoy Deb, Abhay Kumar · IEEE Congress on Evolutionary Computation (CEC) · 179

An Adaptive Evolutionary Multi-Objective Approach Based on Simulated Annealing

2011 · H. Li, D. Landa-Silva · Evolutionary Computation · 178

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An Efficient and Accurate Solution Methodology for Bilevel Multi-Objective Programming Problems Using a Hybrid Evolutionary-Local-Search Algorithm

2010 · Kalyanmoy Deb, Ankur Sinha · Evolutionary Computation · 177

A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling

2014 · Irina Harris, Christine L. Mumford, et al. · Transportation Research Part E Logistics and Transportation Review · 173

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Works count: 1,844

Citation count: 28,800