A novel bee swarm optimization algorithm for numerical function optimization

DOI10.1016/j.cnsns.2009.11.003zbMath1222.90082OpenAlexW1982076016MaRDI QIDQ720222

Alireza Mohammadi, Reza Akbari, Koorush Ziarati

Publication date: 13 October 2011

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2009.11.003

zbMATH Keywords

numerical function optimizationtime-varying weightsbee swarm optimizationrepulsion factor

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Approximation methods and heuristics in mathematical programming (90C59)

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Uses Software

• CIXL2
• ABC

Cites Work

• Recent approaches to global optimization problems through particle Swarm optimization
• A new design method based on artificial bee colony algorithm for digital IIR filters
• A flexible model of foraging by a honey bee colony: the effects of individual behaviour on foraging success
• A comparative study of artificial bee colony algorithm
• A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm