A literature review of Bee Colony optimization algorithms

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...

Full description

Saved in:
Bibliographic Details
Published in2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH) pp. 499 - 504
Main Authors Gulati, Rishabh, Vats, Prashant
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2014
Subjects
Algorithm design and analysis
Bee Colony Optimization
Foraging behavior
MATLAB
Optimization
Scheduling
Search problems
Software algorithms
Testing
Online AccessGet full text
DOI10.1109/CIPECH.2014.7019121

Cover

More Information
Summary: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.
DOI:10.1109/CIPECH.2014.7019121