A novel genetic algorithm for global optimization
type: Item
instance of: scholarly article
title: A novel genetic algorithm for global optimization
zbMATH Open document ID: 1441.90129
author: Kui Liu
author: Chunfeng Wang
author: Peiping Shen
published in: Acta Mathematicae Applicatae Sinica. English Series
publication date: 2020-04-15T00:00:00Z
Mathematics Subject Classification ID: 90C26
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 7189538
zbMATH Keywords: genetic algorithm
zbMATH Keywords: good point set
zbMATH Keywords: chaotic search
zbMATH Keywords: continuous optimization
describes a project that uses: Genocop
describes a project that uses: CEC 05
MaRDI profile type: Publication
full work available at URL: s10255-020-0930-7
OpenAlex ID: W3015748062
cites work: Population set-based global optimization algorithms: some modifications and numerical studies
cites work: Q4375488
cites work: Multi-objective optimization using evolutionary algorithms
cites work: A new crossover operator for real coded genetic algorithms
cites work: A new mutation operator for real coded genetic algorithms
cites work: Q5480099
cites work: Q4692508
cites work: Integrated crossover rules in real coded genetic algorithms
cites work: An improved genetic algorithm with average-bound crossover and wavelet mutation operations
cites work: A modified artificial bee colony algorithm based on converge-onlookers approach for global optimization
cites work: Q4873721
cites work: A comparative study of some real-coded genetic algorithms for unconstrained global optimization
cites work: Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
cites work: A hybrid genetic algorithm with the Baldwin effect
cites work: Gbest-guided artificial bee colony algorithm for numerical function optimization
DOI: 10.1007/S10255-020-0930-7
description: scientific article; zbMATH DE number 7189538