The Bees Algorithm and Its Applications

Baris Yuce, Ernesto Mastrocinque, Michael S. Packianather, Alfredo Lambiase, Duc Truong Pham

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Citations (Scopus)

Abstract

The Bees Algorithm (BA) is a swarm-based optimization algorithm inspired by the food foraging behavior of honeybees. The aim of this chapter is to describe a swarm-based optimization algorithm called the Bees Algorithm and its applications to real world problems. After an explanation of the natural foraging behavior of honeybees, the basic Bees Algorithm and its enhanced version based on Adaptive Neighborhood Search and Site Abandonment (ANSSA) strategy are described and two applications are discussed in detail. The first application deals with the optimization of several benchmark functions and the results obtained by the ANSSA-based BA is compared with the basic BA and other optimization algorithms. The second application deals with the multi-objective optimization problem in finding the best supply chain configuration.
Original languageEnglish
Title of host publicationHandbook of Research on Artificial Intelligence Techniques and Algorithms
EditorsPandian Vasant
Place of PublicationHershey, USA
PublisherIGI Global
Pages122-151
Number of pages30
ISBN (Electronic)9781466672598
ISBN (Print)9781466672581, 1466672587
DOIs
Publication statusPublished - 2015

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    Yuce, B., Mastrocinque, E., Packianather, M. S., Lambiase, A., & Pham, D. T. (2015). The Bees Algorithm and Its Applications. In P. Vasant (Ed.), Handbook of Research on Artificial Intelligence Techniques and Algorithms (pp. 122-151). Hershey, USA: IGI Global. https://doi.org/10.4018/978-1-4666-7258-1.ch004