DocumentCode
237649
Title
A literature review of Bee Colony optimization algorithms
Author
Gulati, Rishabh ; Vats, Prashant
Author_Institution
HMR Inst. of Technol. & Manage., New Delhi, India
fYear
2014
fDate
28-29 Nov. 2014
Firstpage
499
Lastpage
504
Abstract
Bee Colony optimization techniques are inspired by the high level of mutual intelligence shown by the natural bees in the food foraging process. It is a population based natural search algorithm which provides the base to solve metaheuristic computational optimization problems. In this paper we have carried out a literature review of the applications of BCO into various areas of computational problems where they prove their worth in providing optimized solutions. We have further carried out a tabular comparison of the work performed by the various researchers by applying the the BCO as optimization algorithms for solving the Optimization Problems.
Keywords
optimisation; search problems; bee colony optimization algorithms; food foraging process; metaheuristic computational optimization problems; mutual intelligence; natural bees; population based natural search algorithm; Algorithm design and analysis; MATLAB; Optimization; Search problems; Software algorithms; Testing; Bee Colony Optimization; Foraging behavior; Optimization; Scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), 2014 Innovative Applications of
Conference_Location
Ghaziabad
Type
conf
DOI
10.1109/CIPECH.2014.7019121
Filename
7019121
Link To Document