Abstract
In this paper, accelerated artificial bee colony (A-ABC) method is presented. In A-ABC, two modifications are used on the Artificial Bee Colony (ABC) algorithm to progress its local search ability and convergence speed. Modifications are called as modification rate (MR) and step size (SS). In this study, we aim to investigate effects of using MR value and SS modification. Performances of the A-ABC and standard ABC are compared on well-known 7 different benchmark functions. Results show that A-ABC has generally better performance and faster convergence than standard version of the ABC algorithm. Index Terms—ABC algorithm, meta-heuristic algorithms, swarm intelligence, optimization technique.
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