The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
Transactions ID Number: 20-484
Full Name: Milan Tuba
Position: Professor
Age: ON
Sex: Male
Address: M. Milankovica 178, 11070 N. Belgrade, SERBIA
Country: YUGOSLAVIA
Tel: +381 64 8650052
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E-mail address: tubamilan@ptt.rs
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Title of the Paper: Different approaches in parallelization of the artificial bee colony algorithm
Authors as they appear in the Paper: Milos Subotic, Milan Tuba, Nadezda Stanarevic
Email addresses of all the authors: milos.subotic@gmail.com,tubamilan@ptt.rs,srna@stanarevic.com
Number of paper pages: 8
Abstract: Parallel processing is gaining popularity due to the low cost of multi-core processors. In this paper we propose three different approaches in parallelization of standard artificial bee colony (ABC) algorithm. ABC algorithm was successfully used on many optimization problems, unconstrained and constrained. Our three approaches are independent parallel runs and two variations of multiple swarms parallelization. By using independent parallel runs method we succeeded in achieving faster execution of algorithm since multicore processors can be better utilized. By using multiple swarms technics with some modifications we also obtained better results than the original ABC algorithm. Different types of communications among swarms are proposed and examined. These methods of communication between swarms improved results and allowed adjustments of different ratios between exploration and exploitation. Set of eleven standard benchmark functions was used to test execution spee!
d and quality of results improvements.
Keywords: Artificial bee colony, Metaheuristic optimization, Parallelization, Swarm intelligence, Nature inspired metaheuristic algorithms
EXTENSION of the file: .pdf
Special (Invited) Session: Parallelization of the Artificial Bee Colony (ABC) Algorithm
Organizer of the Session: 632-242
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