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.
|Title of host publication||Handbook of Research on Artificial Intelligence Techniques and Algorithms|
|Place of Publication||Hershey, USA|
|Number of pages||30|
|ISBN (Print)||9781466672581, 1466672587|
|Publication status||Published - 2015|
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