DE-FPA: A hybrid differential evolution-flower pollination algorithm for function minimization

Dwaipayan Chakraborty, Sankhadip Saha, Oindrilla Dutta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Scopus citations

Abstract

In this paper, a new hybrid population based algorithm (DE-FPA) is proposed with the combination of differential evolution optimization algorithm and flower pollination algorithm. The main idea is to integrate the natural evolution characteristics of the population in differential evolution algorithm with the pollination behavior of flowering plant in flower pollination algorithm to synthesize the strength and power of both the algorithms. The hybrid algorithm is robust in the sense that the globalization takes place in evolution. Some benchmark test functions are utilized here to compare the hybrid algorithm with the individual DE and FPA algorithms in searching the best solution. The results show the hybrid algorithm possesses a better capability in searching for the sufficiently good solution and to escape from local optima. In addition to that, a novel concept of dynamic adaptive weight is introduced for faster convergence than the individual algorithms, thereby making the hybrid one competent.

Original languageEnglish (US)
Title of host publication2014 International Conference on High Performance Computing and Applications, ICHPCA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959587
DOIs
StatePublished - Feb 18 2015
Externally publishedYes
Event2014 International Conference on High Performance Computing and Applications, ICHPCA 2014 - Bhubaneswar, India
Duration: Dec 22 2014Dec 24 2014

Publication series

Name2014 International Conference on High Performance Computing and Applications, ICHPCA 2014

Conference

Conference2014 International Conference on High Performance Computing and Applications, ICHPCA 2014
Country/TerritoryIndia
CityBhubaneswar
Period12/22/1412/24/14

All Science Journal Classification (ASJC) codes

  • Software

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