Abstract: Particle swarm optimization (PSO ) is an effective & reliable evolutionary based approach .
Gaing, "Particle Swarm Optimization to solving the economic dispatch considering generator constraints," IEEE Trans. Gao Yue-lin , Duan Yu-hong "A New Particle Swarm Optimization Algorithm with Random Inertia Weight and Evolution Strategy" International Conference on Computational Intelligence and Security Workshops 2007. Guimin Chen, Xinbo Huang, Jianyuan Jia and Zhengfeng Min " Natural Exponential Inertia Weight Strategy in Particle Swarm Optimization" 6th World Confress on Intelligent Control and Automation, June 21 - 23, 2006, Dalian, China. Jong-Bae Park, Yun-Won Jeong, Hyun Houng Kim and Joong-Rin Shin "An Improved Particle Swarm Optimization for Economic Dispatch with Valve-Point Effect" International Journal of Innovations in Energy Systems and Power, Vol. Therefore by emphasizing this protein as a drug target can help in the identification of novel drugs to cure leprosy. Black PN, Zhang Q, Weimar JD, Di Russo CC (1997): Mutational analysis of a fatty Acyl-coenzyme A Synthetase signature motif identifies seven amino acid residues that modulate fatty acid substrate specificity. Key words: cellular genetic algorithm, dynamic optimization, density dependence scheme Reference  R. The activation of fatty acids by Acyl-Co A Synthetase is the need of de novo lipid biosynthesis, fatty acid catabolism and remodeling of biological membranes. The computation results indicate that new algorithms demonstrate their superiority respectively on both convergence and diversity. Krus, "On Load Sensing Fluid Power Systems," Division of Fluid Power Control Department of Mechanical Engineering, Linkoping University, Sweden, 1988. Palmberg, "Hydraulic transformers-comparison of different designs," 2004.
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Proceedings of the 2005 IEEE International Conference on Robotics and Automation Barcelona, Spain, April 2005. Dongwoon Choi, Woonghee Shon and Ho-Gil Lee "Design of 5 D. F Robot Hand with an artificial skin For An Android Robot" Department of Applied Robot Technology, Korea Institute of Industrial Technology Republic of Korea.