An Opposition-based Self-adaptive Hybridized Differential Evolution Algorithm for Multi-objective Optimization (OSADE)

Jin Kiat Chong; Kay Chen Tan

doi:10.1007/978-3-319-13359-1_35

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An Opposition-based Self-adaptive Hybridized Differential Evolution Algorithm for Multi-objective Optimization (OSADE)

Jin Kiat Chong Kay Chen Tan

Year: 2014 Proceedings in adaptation, learning and optimization Pages: 447-461 Publisher: Springer International Publishing

DOI: 10.1007/978-3-319-13359-1_35

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Keywords:

Differential evolution Benchmark (surveying) Evolutionary algorithm Algorithm Sorting Mathematical optimization Test suite Evolutionary computation Mathematics Computer science Test case Machine learning

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Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

An Opposition-based Self-adaptive Hybridized Differential Evolution Algorithm for Multi-objective Optimization (OSADE)

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