Open AccessHybridization of Artificial Bee Colony Algorithm and its variants with Hyperbolic Spiral based Local Search
Author(s) -
Shiv Kumar Agarwal,
Surendra Kumar Yadav
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b4111.129219
Subject(s) - artificial bee colony algorithm , exploit , local search (optimization) , artificial intelligence , computer science , mathematical optimization , algorithm , mathematics , computer security
Artificial bee colony (ABC) algorithm is grounded on intelligent swarming behavior of honey bees. It is one of the efficient algorithm for optimization. The ABC algorithm is good in exploration and sometimes fails to exploit properly. Local search strategies in addition to existing steps play important role to improve exploitation. In order to improve exploitation here a local search inspired by the nature of hyperbolic spiral introduced in ABC. The purposed variant used with ABC, Best-so-far ABC and Gbest ABC. Outcomes proved that hybrid of these algorithms with hyperbolic search gives good results with higher accuracy and reliability.