A New Differential Artificial Bee Colony Algorithm for Large Scale Optimization Problems

Takuya KAGAWA  Akihide UTANI  Hisao YAMAMOTO 

Publication
A - Abstracts of IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences (Japanese Edition)  Vol.J95-A  No.6  pp.514-518
Publication Date: 2012/06/01
Online ISSN: 1881-0195
Print ISSN: 0913-5707
Type of Manuscript: LETTER
Category: 
Keyword: 
large scale optimization problems,  multimodal functions,  global optimization,  differential evolution,  ABC algorithm, 

Full Text(in Japanese): PDF(595.4KB)

Summary: 
This paper proposes a novel optimization method based on the advanced Artificial Bee Colony (ABC) algorithm that has the good performance on large scale optimization problems named the differential ABC algorithm, and evaluates the effectiveness of the proposed method through numerical experiments on large scale benchmark problems.