Teaching-learning based optimization with global crossover for global optimization problems

Haibin Ouyang; Liqun Gao; Xiangyong Kong; Dexuan Zou; Steven Li

doi:10.1016/j.amc.2015.05.012

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Teaching-learning based optimization with global crossover for global optimization problems

Haibin Ouyang Liqun Gao Xiangyong Kong Dexuan Zou Steven Li

Year: 2015 Journal: Applied Mathematics and Computation Vol: 265 Pages: 533-556 Publisher: Elsevier BV

DOI: 10.1016/j.amc.2015.05.012

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Keywords:

Crossover Global optimization Maxima and minima Mathematical optimization Local optimum Heuristic Computer science Population Optimization problem Local search (optimization) Mathematics Artificial intelligence

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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

Scheduling and Timetabling Solutions

Social Sciences → Decision Sciences → Management Science and Operations Research

Teaching-learning based optimization with global crossover for global optimization problems

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