Comparison Study of GA and PSO with their Applications to Multi-Objective Power Unit Coordinate Control Problem

Zain Zaharn; Rui Feng Shi; Xiang Jie Liu

doi:10.4028/www.scientific.net/AMR.347-353.132

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 347-353Comparison Study of GA and PSO with their...

Comparison Study of GA and PSO with their Applications to Multi-Objective Power Unit Coordinate Control Problem

Abstract:

Power unit coordinate control problem is a typical non-linear, constrained optimization problem with high computational complexity, in which the optimal solution is balanced between unit load demand and pressure set point. This problem is traditionally solved by fixed nonlinear mapping method, while more and more attention is payed on solving this issue with modern heuristic algorithms, like GA, PSO, etc. This paper presents a comparison study between two typical modern heuristic algorithms with their applications to a 3-objective power unit coordinate control problem. The merits and drawbacks of each algorithm is analyzed via simulation experiments.

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Periodical:

Advanced Materials Research (Volumes 347-353)

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132-136

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.347-353.132

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Online since:

October 2011

Authors:

Zain Zaharn, Rui Feng Shi, Xiang Jie Liu

Keywords:

Genetic Algorithm (GA), Modern Heuristic Algorithms, Particle Swarm Optimization Algorithm (PSO), Power Unit Coordinate Control

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