IT-CEMOP: an iterative co-evolutionary algorithm for multiobjective optimization problem with nonlinear constraints

DOI10.1016/j.amc.2006.05.095zbMath1105.65331OpenAlexW2069170946MaRDI QIDQ864782

A. A. Mousa, Mahmoud A. Abo-Sinna, Mohamed Sayed Ali Osman

Publication date: 13 February 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2006.05.095

zbMATH Keywords

numerical examplesgenetic algorithmsmultiobjective nonlinear programmingmultiobjective evolutionary algorithms\(\varepsilon\)-dominance

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Multi-objective and goal programming (90C29)

Related Items (5)

An interactive dynamic approach based on hybrid swarm optimization for solving multiobjective programming problem with fuzzy parameters ⋮ Iterated tabu search for the maximum diversity problem ⋮ GENLS: Co-evolutionary algorithm for nonlinear system of equations ⋮ Using genetic algorithm and TOPSIS technique for multiobjective transportation problem: a hybrid approach ⋮ IT-CEMOP

Uses Software

• PAES
• SPEA2

Cites Work

• On several concepts for \(\varepsilon\)-efficiency
• An effective genetic algorithm approach to multiobjective resource allocation problems (MORAPs)
• A solution to the optimal power flow using genetic algorithm
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