Abstract: Particle swarm optimization (PSO ) is an effective & reliable evolutionary based approach .
Palmberg, "Hydraulic transformers-comparison of different designs," 2004.
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.
Most of the genes are involved in biosynthetic and metabolic pathways, so the product of these genes can be aimed for the novel drug target. Transmembrane movement of exogenous long-chain fatty acids: proteins, enzymes, and vectorial esterification. Moreover, in the second proposed rule, the competition scheme of the best individuals within the neighborhoods of one individual is also introduced.
The organism requires minimal set of functional genes for its survival. Bateman A, Birney E, Cerruti L (2002).‖The Pfam Protein Families Database‖. Two kinds of improved evolution rules are proposed to replace the rule in regular cellular genetic algorithm, in which null cells are considered to the foods of individuals in population and the maximum of living individuals in cellular space is limited by their food.