Enhanced Bee Colony Algorithm for Complex Optimization Problems

Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 1

Abstract

Optimization problems are considered to be one kind of NP hard problems. Usually heuristic approaches are found to provide solutions for NP hard problems. There are a plenty of heuristic algorithms available to solve optimization problems namely: Ant Colony Optimization, Particle Swarm Optimization, Bee Colony Optimization, etc. The basic Bee Colony algorithm, a population based search algorithm, is analyzed to be a novel tool for complex optimization problems. The algorithm mimics the food foraging behavior of swarms of honey bees. This paper deals with a modified fitness function of Bee Colony algorithm. The effect of problem dimensionality on the performance of the algorithms will be investigated. This enhanced Bee Colony Optimization will be evaluated based on the well-known benchmark problems. The testing functions like Rastrigin, Rosenbrock, Ackley, Griewank and Sphere are used to evaluavate the performance of the enhanced Bee Colony algorithm. The simulation will be developed on MATLAB.

Authors and Affiliations

S. Suriya , R. Deepalakshmi , S. Suresh kannan , Dr. S. P. Shantharajah

Keywords

Related Articles

PEHCHAAN: HINDI HANDWRITTEN CHARACTER RECOGNITION SYSTEM BASED ON SVM

Optical Character Recognition is a technique by which you can automatically recognize the characters with an optical mechanism. OCR technology allows you the recognition of printed or handwritten text documents. Main aim...

PREPROCESSING OF WEB LOGS

Today’s real world databases are highly susceptible to noisy, missing and inconsistent data due to their typically huge size data and their origin from multiple, heterogeneous sources. Hence, pre-processing of data is ne...

Towards Intelligent Information Retrieval on Web

The World Wide Web is an information resource with virtually unlimited potential. However, this potential is relatively untapped because it is difficult for machines to process and integrate this information meaningfully...

An Analysis Of Hybrid Techniques Of Seam Carving

Diversified display devices and advancement in image processing techniques have increased the need for content aware resizing of images to fit into display devices of varying resolutions. Traditional resizing methods sca...

Modified route-maintenance in AODV Routing protocol using static nodes in realistic mobility model

One of the popular wireless network architectures is Mobile Ad Hoc Network (MANET). It can be easily deployed in every environment, without any underlying backbone and infrastructure support. MANET is a wireless network...

Download PDF file
  • EP ID EP145390
  • DOI -
  • Views 89
  • Downloads 0

How To Cite

S. Suriya, R. Deepalakshmi, S. Suresh kannan, Dr. S. P. Shantharajah (2012). Enhanced Bee Colony Algorithm for Complex Optimization Problems. International Journal on Computer Science and Engineering, 4(1), 72-78. https://europub.co.uk/articles/-A-145390