A Particle Swarm Optimization Based on Multi Objective Functions with Uniform Design
|International Journal of Computer Science and Engineering|
|© 2016 by SSRG - IJCSE Journal|
|Volume 3 Issue 10|
|Year of Publication : 2016|
|Authors : Adel H. Al-Mter, Songfeng Lu, Yahya E. A. Al-Salhi, Arkan A. G. Al-Hamodi|
How to Cite?
Adel H. Al-Mter, Songfeng Lu, Yahya E. A. Al-Salhi, Arkan A. G. Al-Hamodi, "A Particle Swarm Optimization Based on Multi Objective Functions with Uniform Design," SSRG International Journal of Computer Science and Engineering , vol. 3, no. 10, pp. 1-7, 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I10P104
A Multi-objective problems occurs wherever optimal solution necessary to be taken in the presence of tradeoffs between more than one conflicting objectives. Usually the population’s values of MOPSO algorithm are random which leads to random search quality. Particle Swarm Optimization Based on Multi Objective Functions with Uniform Design (MOPSO-UD), is proposed to enhance the accuracy of the particles convergence and keep the versatility of the Pareto optimal solutions and used the Uniform design to resolve the randomize search problem of the original MOPSO algorithm also the execution time of MOPSO-UD is faster compared with multi-objective particle swarm optimization algorithm (MOPSO).
Particle swarm optimization algorithm, Multi-objective optimization, MOPSO algorithm, Uniform Design,MOPSO-UD
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