Dynamic bee colony algorithm based on multi-species co-evolution

• Published in: Applied intelligence (Dordrecht, Netherlands) Vol. 40; no. 3; pp. 427 - 440
• Main Authors: Zhang, Peng, Liu, Hong, Ding, Yanhui
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.04.2014; Kluwer; Springer Nature B.V
• Subjects: Accuracy; Algorithmics. Computability. Computer arithmetics; Algorithms; Applied sciences; Artificial Intelligence; Computer Science; Computer science; control theory; systems; Convergence; Cooperation; Dynamics; Evolutionary; Exact sciences and technology; Experiments; Intelligence; Interdisciplinary subjects; Machines; Manufacturing; Mechanical Engineering; Optimization; Processes; Researchers; Swarm intelligence; Theoretical computing; Multi-species co-evolution; Adjustments of subgroups; Artificial bee colony algorithm; Shrink of space; Artificial life; Large dimension; Small dimension; Evolutionary algorithm; Subgroup; Computational complexity; Modeling; Particle swarm optimization; Experimental result; Cooperation; Swarm intelligence; Robustness; Numerical convergence; Mathematical programming

Most versions of the current Artificial Bee Colony (ABC) algorithm are based on single-species model. It is insufficient to extend the diversity of solutions and may be trapped into local extreme points at the end of the evolutionary process. In this paper, an enhanced version (Co-ABC) of the origin...