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What is Adaptive Neighborhood Search

Chapter 4
Handbook of Research on Artificial Intelligence Techniques and Algorithms
Local search of the optimal solutions performed adaptively.
Published in Chapter:
The Bees Algorithm and Its Applications
Baris Yuce (Cardiff University, UK), Ernesto Mastrocinque (Royal Holloway, University of London, UK), Michael S. Packianather (Cardiff University, UK), Alfredo Lambiase (University of Salerno, Italy), and Duc Truong Pham (University of Birmingham, UK)
Copyright: © 2015 |Pages: 30
DOI: 10.4018/978-1-4666-7258-1.ch004
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.
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