The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of MATHEMATICS AND COMPUTERS IN SIMULATION
Transactions ID Number: 20-335
Full Name: Milan Tuba
Position: Please, select:
Age: ON
Sex: Male
Address: M. Milankovica 178, 11070 N. Belgrade, SERBIA
Country: YUGOSLAVIA
Tel: +381 64 8650052
Tel prefix:
Fax:
E-mail address: tubamilan@ptt.rs
Other E-mails:
Title of the Paper: Performance of the improved artificial bee colony algorithm on standard engineering constrained problems
Authors as they appear in the Paper: Ivona Brajevic, Milan Tuba, Milos Subotic
Email addresses of all the authors: ivona.brajevic@googlemail.com,tubamilan@ptt.rs,milos.subotic@gmail.com
Number of paper pages: 9
Abstract: Artificial bee colony (ABC) algorithm is successfully used for many hard, mostly continuous, optimization problems. There is a way to extend standard ABC algorithm to constrained problems. In this paper an improved version of the artificial bee colony algorithm adjusted for constrained optimization problems is presented. It uses Deb's rule. This modified algorithm has been implemented and tested on four standard engineering constrained benchmark problems which contain discrete and continuous variables. Our results were compared to the results obtained by simple constrained particle swarm optimization algorithm (SiC-PSO) which showed a very good performance when it was applied to the same problems. Our results are of the comparable quality with faster convergence.
Keywords: Constrained optimization, Swarm intelligence, Artificial bee colony optimization
EXTENSION of the file: .pdf
Special (Invited) Session: Improved Artificial Bee Colony Algorithm for Constrained Problems
Organizer of the Session: 632-241
How Did you learn about congress:
IP ADDRESS: 89.110.232.200
