An improved artificial bee colony algorithm for constrained optimization

Volume: 11, Issue: 1, Pages: 14 - 22
Published: Jan 1, 2016
Abstract
Artificial Bee Colony algorithm (ABC) is one of the most popular swarm intelligence algorithms possessing few control parameters and being competitive with other population-based algorithms. However, there is still an insufficiency in this algorithm regarding its convergence behavior. This algorithm is good at exploration but poor at exploitation and yet tackling the issue becomes more challenging if the problem involves constraints. In this...
Paper Details
Title
An improved artificial bee colony algorithm for constrained optimization
Published Date
Jan 1, 2016
Volume
11
Issue
1
Pages
14 - 22
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.