DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems

DOI10.1016/J.COR.2009.02.006zbMath1175.90364OpenAlexW2078014196MaRDI QIDQ1038281

Rafael Caballero, Carlos A. Coello Coello, Alfredo G. Hernández-Díaz, Luis V. Santana-Quintero, Julian Molina

Publication date: 17 November 2009

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2009.02.006

zbMATH Keywords

multi-objective optimizationhybrid algorithmsrough set theorydifferential evolution

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29)

Related Items (6)

A novel hybrid multi-objective immune algorithm with adaptive differential evolution ⋮ Towards faster convergence of evolutionary multi-criterion optimization algorithms using Karush Kuhn Tucker optimality based local search ⋮ BSTBGA: A hybrid genetic algorithm for constrained multi-objective optimization problems ⋮ BIANCA: a genetic algorithm to solve hard combinatorial optimisation problems in engineering ⋮ Differential evolution algorithm with dynamic multi-population applied to flexible job shop schedule ⋮ DEMORS

Uses Software

• SSPMO

Cites Work

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• Differential evolution. A practical approach to global optimization. With CD-ROM.
• Nonlinear multiobjective optimization
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• SSPMO: A Scatter Tabu Search Procedure for Non-Linear Multiobjective Optimization
• Rough sets
• Multicriteria Optimization
• Evolutionary Algorithms for Solving Multi-Objective Problems
• Fuzzy sets
• Evolutionary Multi-Criterion Optimization

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