An improved teaching-learning-based optimization for constrained evolutionary optimization

Bing-Chuan Wang; Han‐Xiong Li; Yun Feng

doi:10.1016/j.ins.2018.04.083

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An improved teaching-learning-based optimization for constrained evolutionary optimization

Bing-Chuan Wang Han‐Xiong Li Yun Feng

Year: 2018 Journal: Information Sciences Vol: 456 Pages: 131-144 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2018.04.083

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Keywords:

Benchmark (surveying) Mathematical optimization Convergence (economics) Computer science Constrained optimization Ranking (information retrieval) Differential evolution Evolutionary algorithm Constraint (computer-aided design) Optimization problem Range (aeronautics) Rank (graph theory) Global optimization Function (biology) Mathematics Artificial intelligence Engineering

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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

An improved teaching-learning-based optimization for constrained evolutionary optimization

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