Title :
A literature review of Bee Colony optimization algorithms
Author :
Gulati, Rishabh ; Vats, Prashant
Author_Institution :
HMR Inst. of Technol. & Manage., New Delhi, India
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;
Conference_Titel :
Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), 2014 Innovative Applications of
Conference_Location :
Ghaziabad
DOI :
10.1109/CIPECH.2014.7019121