A new mechanism to maintain diversity in multi-objective metaheuristics

DOI10.1080/02331934.2010.534476zbMath1250.90115OpenAlexW2090289402MaRDI QIDQ3165901

Mario Villalobos-Arias, Carlos A. Coello Coello, Gregorio Toscano-Pulido

Publication date: 19 October 2012

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2010.534476

zbMATH Keywords

multi-objective optimizationmetaheuristicsevolutionary algorithmsparticle swarm optimization\(\varepsilon \)-dominance

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Randomized algorithms (68W20) Computational methods for problems pertaining to operations research and mathematical programming (90-08) Numerical methods for mathematical programming, optimization and variational techniques (65K99)

Cites Work

• Asymptotic convergence of metaheuristics for multiobjective optimization problems
• A novel strategy of Pareto-optimal solution searching in multi-objective particle swarm optimization (MOPSO)
• Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems
• Evolutionary Algorithms for Solving Multi-Objective Problems

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