Document Type
Conference Item
Publication Date
9-1-2014
Abstract
This paper presents a performance evaluation of a novel Vector Evaluated Gravitational Search Algorithm II (VEGSAII) for multi-objective optimization problems. The VEGSAII algorithm uses a number of populations of particles. In particular, a population of particles corresponds to one objective function to be minimized or maximized. Simultaneous minimization or maximization of every objective function is realized by exchanging a variable between populations. The results shows that the VEGSA is outperformed by other multi-objective optimization algorithms and further enhancements are needed before it can be employed in any application.
Keywords
Gravitational search algorithm, optimization, vector evaluated
Divisions
fac_eng
Event Title
13th International Conference on Intelligent Software Methodologies, Tools, and Techniques
Event Location
Langkawi, Malaysia
Event Dates
22-24 Sep 2014
Event Type
conference