Multi-operator based evolutionary algorithms for solving constrained optimization problems

Saber Elsayed; Ruhul Sarker; Daryl Essam

doi:10.1016/j.cor.2011.03.003

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Multi-operator based evolutionary algorithms for solving constrained optimization problems

Saber Elsayed Ruhul Sarker Daryl Essam

Year: 2011 Journal: Computers & Operations Research Vol: 38 (12)Pages: 1877-1896 Publisher: Elsevier BV

DOI: 10.1016/j.cor.2011.03.003

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Keywords:

Algorithm Benchmark (surveying) Operator (biology) Evolutionary algorithm Computer science Mathematical optimization Range (aeronautics) Differential evolution Optimization problem Mathematics

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Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Multi-operator based evolutionary algorithms for solving constrained optimization problems

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