Empirical study of the Bee Colony Optimization (BCO) algorithm
نویسندگان
چکیده
The Bee Colony Optimization (BCO) meta-heuristic deals with combinatorial optimization problems. It is biologically inspired method that explores collective intelligence applied by the honey bees during nectar collecting process. In this paper we perform empirical study of the BCO algorithm. We apply BCO to optimize numerous numerical test functions. The obtained results are compared with the results in the literature. The numerical experiments performed on well-known benchmark functions show that the BCO is competitive with other methods and it can generate high-quality solutions within negligible CPU times. 2013 Elsevier Ltd. All rights reserved.
منابع مشابه
Finding the Optimal Path to Restoration Loads of Power Distribution Network by Hybrid GA-BCO Algorithms Under Fault and Fuzzy Objective Functions with Load Variations
In this paper proposes a fuzzy multi-objective hybrid Genetic and Bee colony optimization algorithm(GA-BCO) to find the optimal restoration of loads of power distribution network under fault.Restoration of distribution systems is a complex combinatorial optimization problem that should beefficiently restored in reasonable time. To improve the efficiency of restoration and facilitate theactivity...
متن کاملBee Colony Optimization (BCO)
Swarm Intelligence is the part of Artificial Intelligence based on study of actions of individuals in various decentralized systems. The Bee Colony Optimization (BCO) metaheuristic has been introduced fairly recently as a new direction in the field of Swarm Intelligence. Artificial bees represent agents, which collaboratively solve complex combinatorial optimization problem. The chapter present...
متن کاملA Survey on the Applications of Bee Colony Optimization Techniques
In this paper an overview of the areas where the Bee Colony Optimization (BCO) and its variants are applied have been given. Bee System was identified by Sato and Hagiwara in 1997 and the Bee Colony Optimization (BCO) was identified by Lucic and Teodorovic in 2001. BCO has emerged as a specialized class of Swarm Intelligence with bees as agents. It is an emerging field for researchers in the fi...
متن کاملRouting and wavelength assignment in all-optical networks based on the bee colony optimization
Routing and Wavelength Assignment (RWA) problem in all-optical networks assumes determining the routes and wavelengths to be used to create the lightpaths for connection requests. The RWA problem belongs to a class of difficult combinatorial optimization problems. We propose the Bee Colony Optimization (BCO) heuristic algorithm tailored for the RWA problem (BCO–RWA) in all-optical networks with...
متن کاملAdvanced OR and AI Methods in Transportation BEE COLONY OPTIMIZATION – A COOPERATIVE LEARNING APPROACH TO COMPLEX TRANSPORTATION PROBLEMS
Various natural systems teach us that very simple individual organisms can create systems able to perform highly complex tasks by dynamically interacting with each other. The Bee Colony Optimization Metaheuristic (BCO) is proposed in this paper. The artificial bee colony behaves partially alike, and partially differently from bee colonies in nature. The BCO is capable to solve deterministic com...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Expert Syst. Appl.
دوره 40 شماره
صفحات -
تاریخ انتشار 2013