Competitive teaching–learning-based optimization for multimodal optimization problems

Aining Chi; Maode Ma; Yiying Zhang; Zhigang Jin

doi:10.1007/s00500-022-07283-6

ScienceGate Book Chapters

JOURNAL ARTICLE

Competitive teaching–learning-based optimization for multimodal optimization problems

Aining Chi Maode Ma Yiying Zhang Zhigang Jin

Year: 2022 Journal: Soft Computing Vol: 26 (19)Pages: 10163-10186 Publisher: Springer Science+Business Media

DOI: 10.1007/s00500-022-07283-6

Get Full-Text PDF Get Analytical Report

Keywords:

Benchmark (surveying) Metaheuristic Computer science Local optimum Mathematical optimization Population Artificial intelligence Operator (biology) Optimization problem Machine learning Mathematics

Metrics

Cited By

0.59

FWCI (Field Weighted Citation Impact)

Refs

0.66

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

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

Competitive teaching–learning-based optimization for multimodal optimization problems

Metrics

Citation History

Topics

Related Documents

Improved teaching-learning based optimization for global optimization problems

Neighbour teaching learning based optimization for global optimization problems

An Improved Teaching-Learning-Based Optimization for Multitask Optimization Problems

Competitive swarm optimization with subset selection based manifold learning for multimodal multi-objective optimization

An Improved Teaching-Learning-Based Optimization Algorithm for Parameter Optimization Problems