Improved artificial bee colony algorithm for global optimization

The artificial bee colony algorithm is a relatively new optimization technique. This paper presents an improved artificial bee colony (IABC) algorithm for global optimization. Inspired by differential evolution (DE) and introducing a parameter M, we propose two improved solution search equations, na...

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Veröffentlicht in:	Information processing letters Jg. 111; H. 17; S. 871 - 882
Hauptverfasser:	Gao, Weifeng, Liu, Sanyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 15.09.2011 Elsevier Elsevier Sequoia S.A
Schlagworte:	Algorithmics. Computability. Computer arithmetics Algorithms Applied sciences Artificial bee colony algorithm Calculus of variations and optimal control Colonies Computer science; control theory; systems Convergence Evolution Exact sciences and technology Initial population Learning Mathematical analysis Mathematical models Mathematics Miscellaneous Numerical analysis Numerical analysis. Scientific computation Numerical methods in mathematical programming, optimization and calculus of variations Numerical methods in optimization and calculus of variations Optimization Optimization algorithms Optimization techniques Probability distribution Randomized algorithms Sciences and techniques of general use Search mechanism Searching Solution search equation Studies Theoretical computing Randomized algorithms Artificial bee colony algorithm Solution search equation Search mechanism Initial population Computer theory Optimization method Benchmarks Probability Probability distribution Algorithm Optimization Convergence speed Learning Algorithm performance Information processing Problem solving Algorithm analysis Chaotic systems
ISSN:	0020-0190, 1872-6119
Online-Zugang:	Volltext
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