A Novel Artificial Bee Colony Algorithm Based on Modified Search Equation and Orthogonal Learning

• Published in: IEEE transactions on cybernetics Vol. 43; no. 3; pp. 1011 - 1024
• Main Authors: Gao, Wei-feng, Liu, San-yang, Huang, Ling-ling
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.06.2013; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Animals; Artificial bee colony (ABC) algorithm; Artificial Intelligence; Bees - physiology; Behavior, Animal - physiology; Biomimetics - methods; Colonies; Convergence; Equations; Exploitation; Humans; Learning; Mathematical analysis; Mathematical model; Optimization; orthogonal experimental design (OED); orthogonal learning (OL); Oscillators; Pattern Recognition, Automated - methods; Sampling; search equation; Searching; Sociology; Statistics; Strategy; Studies

The artificial bee colony (ABC) algorithm is a relatively new optimization technique which has been shown to be competitive to other population-based algorithms. However, ABC has an insufficiency regarding its solution search equation, which is good at exploration but poor at exploitation. To addres...