A Crossover Bacterial Foraging Optimization Algorithm
Joint Authors
Naik, Manoj Kumar
Panda, Rutuparna
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-09
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper presents a modified bacterial foraging optimization algorithm called crossover bacterial foraging optimization algorithm, which inherits the crossover technique of genetic algorithm.
This can be used for improvising the evaluation of optimal objective function values.
The idea of using crossover mechanism is to search nearby locations by offspring (50 percent of bacteria), because they are randomly produced at different locations.
In the traditional bacterial foraging optimization algorithm, search starts from the same locations (50 percent of bacteria are replicated) which is not desirable.
Seven different benchmark functions are considered for performance evaluation.
Also, comparison with the results of previous methods is presented to reveal the effectiveness of the proposed algorithm.
American Psychological Association (APA)
Panda, Rutuparna& Naik, Manoj Kumar. 2012. A Crossover Bacterial Foraging Optimization Algorithm. Applied Computational Intelligence and Soft Computing،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-507168
Modern Language Association (MLA)
Panda, Rutuparna& Naik, Manoj Kumar. A Crossover Bacterial Foraging Optimization Algorithm. Applied Computational Intelligence and Soft Computing No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-507168
American Medical Association (AMA)
Panda, Rutuparna& Naik, Manoj Kumar. A Crossover Bacterial Foraging Optimization Algorithm. Applied Computational Intelligence and Soft Computing. 2012. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-507168
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507168
