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Key words: Computational Hydraulic, Energy Efficient Actuators, Energy Saving in Hydraulic, Hydraulic Control Reference [1] P.

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Halgamuge "Self-Organizing Hierarchical Particle Swarm Optimizer With Time Varying Acceleration Coefficients" IEEE Trans. A well organized research comprising of analogue based drug design and molecular dynamics plays a major role in obtaining the lead molecules. Black PN, Di Russo CC, Metzger AK, Heimert TL (1992): Cloning, sequencing, and expression of the fad D gene of Escherichia coli encoding Acyl coenzyme A Synthetase.

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 [1] R.

The study investigates and analyzes the possibilities of reducing the hydraulic resistance and increasing efficiency of the hydraulic actuator.

Conventional hydraulic cylinders are simulated in FLUENT. Singh, "Derivation of design requirements for optimization of a high performance hydrostatic actuation system," International Journal of Fluid Power, vol.

(April 2003), "Nanometer stepping drives of surface acoustic wave motor", IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 50, IEEE, pp. Due to its higher quality solution including mathematical simplicity, fast convergence & robustness it has become popular for many optimization problems.

Abstract: Particle swarm optimization (PSO ) is an effective & reliable evolutionary based approach .

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