MOSDA: A Proposal for Multiple Objective Spiral Dynamics Algorithm

Authors

  • A. Azwan A.R Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang Malaysia.
  • A.N.K. Nasir Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang Malaysia.
  • Sha’akmal S. Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang Malaysia.
  • M. Sawal A.R Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang Malaysia.

Keywords:

Metaheuristics, Multipoint Search, MultiObjective Algorithm, Nature Inspired Computation, Spiral Dynamics,

Abstract

This paper proposed a multi-objective spiral dynamic algorithm (MOSDA) to solve multiple objectives problems. SDA is originally a single objective optimizer that inspired based on the spiral phenomena in nature. It has a good elitism strategy and has a simple structure. A method called “archive method” that is used in multi-objective particle swarm optimization (MOPSO) is adopted into SDA to develop its multiobjective (MO) type algorithm. Moreover, MOSDA is formulated by applying the widely-used concept of Pareto dominance to determine the movement of the particles and at the same time, the algorithm maintains the non-dominated solution in a setup global repository. These non-dominated solutions then will be used to guide other particles to move. The proposed algorithm is tested with several benchmark functions for multi-objective problems. Pareto front (PF) graphs are presented as the results of these tests. The accuracy and diversity of the produced PF are highly competitive compared to MOPSO.

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Published

2018-01-22

How to Cite

A.R, A. A., Nasir, A., S., S., & A.R, M. S. (2018). MOSDA: A Proposal for Multiple Objective Spiral Dynamics Algorithm. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-3), 15–19. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3479