A self adaptive hybrid enhanced artificial bee colony algorithm for continuous optimization problems

Hai Shan; Toshiyuki Yasuda; Kazuhiro Ohkura

doi:10.1016/j.biosystems.2015.05.002

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A self adaptive hybrid enhanced artificial bee colony algorithm for continuous optimization problems

Hai Shan Toshiyuki Yasuda Kazuhiro Ohkura

Year: 2015 Journal: Biosystems Vol: 132-133 Pages: 43-53 Publisher: Elsevier BV

DOI: 10.1016/j.biosystems.2015.05.002

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Keywords:

Artificial bee colony algorithm Test suite Benchmark (surveying) Computer science Swarm intelligence Algorithm Convergence (economics) Evolutionary computation Mathematical optimization Computation Artificial intelligence Particle swarm optimization Test case Mathematics Machine learning

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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

A self adaptive hybrid enhanced artificial bee colony algorithm for continuous optimization problems

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