Bee Colony Optimization - part I: The algorithm overview
نویسندگان
چکیده
منابع مشابه
Elite Opposition-based Artificial Bee Colony Algorithm for Global Optimization
Numerous problems in engineering and science can be converted into optimization problems. Artificial bee colony (ABC) algorithm is a newly developed stochastic optimization algorithm and has been widely used in many areas. However, due to the stochastic characteristics of its solution search equation, the traditional ABC algorithm often suffers from poor exploitation. Aiming at this weakness o...
متن کاملOPTIMIZATION OF SKELETAL STRUCTURAL USING ARTIFICIAL BEE COLONY ALGORITHM
Over the past few years, swarm intelligence based optimization techniques such as ant colony optimization and particle swarm optimization have received considerable attention from engineering researchers. These algorithms have been used in the solution of various structural optimization problems where the main goal is to minimize the weight of structures while satisfying all design requirements...
متن کاملStructural optimization using artificial bee colony algorithm
This paper presents an artificial bee colony (ABC) algorithm for structural optimization of planar and space trusses under stress, displacement and buckling constraints. In order to improve the performance of the classic ABC algorithm, modifications in neighborhood searching method, onlooker phase, and scout phase are proposed. Optimization of different typical truss structures is performed usi...
متن کاملHow Can Bee Colony Algorithm Serve Medicine?
Healthcare professionals usually should make complex decisions with far reaching consequences and associated risks in health care fields. As it was demonstrated in other industries, the ability to drill down into pertinent data to explore knowledge behind the data can greatly facilitate superior, informed decisions to ensue the facts. Nature has always inspired researchers to develop models of ...
متن کاملSensitivity Analysis of the Bee Colony Optimization Algorithm
Bee Colony Optimization (BCO) is a nature-inspired population-based meta-heuristic method that belongs to the class of Swarm intelligence algorithms. BCO was proposed by Lučić and Teodorović, who were among the first to use the basic principles of collective bee intelligence in dealing with optimization problems. Designing a BCO method in principle includes choosing a procedure for constructive...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: YUJOR
سال: 2015
ISSN: 0354-0243,1820-743X
DOI: 10.2298/yjor131011017d