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Soft Computing
Published in: Soft Computing 15/2019

14-06-2018 | Methodologies and Application

Natural selection methods for artificial bee colony with new versions of onlooker bee

Authors: Mohammed A. Awadallah, Mohammed Azmi Al-Betar, Asaju La’aro Bolaji, Emad Mahmoud Alsukhni, Hassan Al-Zoubi

Published in: Soft Computing | Issue 15/2019

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Abstract

Artificial bee colony (ABC) algorithm is one of the most recent swarm intelligence-based algorithms simulate the foraging behavior of honey bees in their hive. ABC starts with a colony of artificial bees with sole aim of discovering the place of food sources with high nectar amount using the solution search equation in the employed bee and onlooker bee operators. However, the solution search equation is good in exploration and poor in exploitation. In this paper, the solution search equation of the onlooker bee is modified by using a value of the fittest food sources selected by a set of selection schemes inspired from the evolutionary algorithms. This is to guide the search process of onlooker bee toward the fittest food sources from the population in order to empower the exploitation capability and convergence. Four selection schemes are incorporated with the ABC algorithm to choose the fittest food sources in four versions as follows: global-best, tournament, linear rank, and exponential rank. For evaluation purposes, 10 classical benchmark optimization functions are used to study the sensitivity analysis of each ABC algorithm to its parameters. The performance of the proposed ABC versions is compared with the original ABC version in order to study the effectiveness of the modifications. In addition, a comparative evaluation of ABC algorithms is carried out against the state-of-the-art methods that worked on CEC2005 benchmark functions, CEC2015 benchmark functions, and two real-world cases of economic load dispatch problem. The experimental results show that the selection schemes incorporated within the search equation of the onlooker bee directly affects the performance of ABC algorithm.
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Metadata
Title
Natural selection methods for artificial bee colony with new versions of onlooker bee
Authors
Mohammed A. Awadallah
Mohammed Azmi Al-Betar
Asaju La’aro Bolaji
Emad Mahmoud Alsukhni
Hassan Al-Zoubi
Publication date
14-06-2018
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 15/2019
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-018-3299-2

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