Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions

This paper presents a performance evaluation of Vector Evaluated Gravitational Search Algorithm (VEGSA), namely VEGSA-I and VEGSA-II algorithms, for multi-objective optimization problems. The VEGSA algorithms use a number of populations of particles. In particular, a population of particles correspo...

Full description

Bibliographic Details
Main Authors: Badaruddin, Muhammad, Zuwairie, Ibrahim, Kamarul Hawari, Ghazali, Mohd Riduwan, Ghazali, Kian, Sheng Lim, Sophan Wahyudi, Nawawi, Nor Azlina, Ab. Aziz, Marizan, Mubin, Norrima, Mokhtar
Format: Article
Language:English
Published: United Kingdom Simulation Society 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/6625/
http://umpir.ump.edu.my/id/eprint/6625/
http://umpir.ump.edu.my/id/eprint/6625/1/fkee-2014-badarudin-Performance_Evaluation.pdf