An improved teaching–learning-based optimization algorithm for solving global optimization problem

Debao Chen; Feng Zou; Li Zheng; Jiangtao Wang; Suwen Li

doi:10.1016/j.ins.2014.11.001

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An improved teaching–learning-based optimization algorithm for solving global optimization problem

Debao Chen Feng Zou Li Zheng Jiangtao Wang Suwen Li

Year: 2014 Journal: Information Sciences Vol: 297 Pages: 171-190 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2014.11.001

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Keywords:

Computer science Convergence (economics) Mathematical optimization Set (abstract data type) Population Local optimum Exploit Process (computing) Evolutionary algorithm Class (philosophy) Optimization problem Global optimization Algorithm Artificial intelligence Machine learning Mathematics

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Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

An improved teaching–learning-based optimization algorithm for solving global optimization problem

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