NDLI: PSO ingrained Artificial Bee Colony algorithm for solving continuous optimization problems

Content Provider	IEEE Xplore Digital Library
Author	Sharma, T.K. Pant, M. Bhardwaj, T.
Copyright Year	2011
Description	Author affiliation: Indian Institute of Technology, Roorkee, India (Sharma, T.K.; Pant, M.) \|\| BIT, Muzaffarnagar, India (Bhardwaj, T.)
Abstract	Artificial Bee Colony (ABC) algorithm is one approach that has been used to find an optimal solution in numerical optimization problems. This algorithm is inspired by the foraging behavior of honey bees when seeking a quality food source. ABC can sometimes trap into local optimum and also slow to converge. In ABC, the employed bees and onlooker bees carry out exploration and exploitation use the same equation. Obviously, the performance of ABC greatly depends on single equation. To enrich the searching behavior and to avoid being trapped into local optimum, PSO is incorporated into the ABC. In order to improve the algorithm performance, we present a modified method for solution update of the employed as well as onlooker bees in this paper. The proposed variants are termed as EABC-PSO and OABC-PSO. To show the performance of our proposed variants, experiments are carried out on a set of well-known benchmark problems. Simulation results and comparisons with the standard ABC and PSO show that the proposed variants can effectively enhance the searching efficiency and greatly improve the searching quality.
Starting Page	108
Ending Page	112
File Size	392698
Page Count	5
File Format	PDF
ISBN	9781457720581
e-ISBN	9781457720598
DOI	10.1109/ICCAIE.2011.6162114
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-04
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Simulation Benchmark testing Exploration Artificial Bee Colony Mathematical model Particle swarm optimization Equations Optimization Particle Swarm Optimization Exploitation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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