“School of Cognitive”
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| Paper IPM / Cognitive / 8923 |
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| Abstract: | |||||
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Several biology inspired optimization algorithms such as Genetic Algorithms,
Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO), etc have previously been proposed by researchers. Recent approaches in numerical optimization
have shifted to motivate from complex human social behaviors. In this paper, a new optimization algorithm, namely parliamentary optimization algorithm (POA) is proposed
by studying the competitive and collaborative behaviors of political parties in a parliament. Experimental results reveal that our proposed approach is superior to PSO over some benchmark multidimensional functions.
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