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What is Artificial Bee Colony Algorithm

Chapter 11
Handbook of Research on Design, Control, and Modeling of Swarm Robotics
An algorithm that simulates the foraging behavior of bee colony.
Published in Chapter:
Swarm Intelligent Optimization Algorithms and Its Application in Mobile Robot Path Planning
Xiujuan Lei (Shaanxi Normal University, China), Fei Wang (Shaanxi Normal University, China), and Ying Tan (Peking University, China)
Copyright: © 2016 |Pages: 33
DOI: 10.4018/978-1-4666-9572-6.ch011
Abstract
Mobile robot path planning is generally a kind of optimal problems, which is to find a best path of a track between a starting point to a goal point in the constraint conditions. Mobile robot path planning can be divided into two categories according to different environment planning awareness information: one is the global path planning and the other is the local path planning. We employed ACO, PSO, FA, FOA, FWA and ABC swarm intelligent optimization algorithms to optimize the global and local path planning of mobile robot, and gave the detailed implement steps and the comparing results to show the feasibility of using swarm intelligence optimization algorithms to solve the robot path planning problems.
Full Text Chapter Download: US $37.50 Add to Cart
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Chapter 18
Artificial Bee Colony Algorithm
A swarm intelligence based optimization algorithm based on foraging behavior of honey bees.
Published in Chapter: Artificial Bee Colony Algorithm; From: Encyclopedia of Business Analytics and Optimization
Full Text Chapter Download: US $37.50 Add to Cart
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