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" The system is initialized with a population of random solutions and searches for optima by updating generations. However, unlike GA, PSO has no evolution operators such as crossover and mutation. "
Introduction to Genetic Algorithms - Page 403
by S.N. Sivanandam, S. N. Deepa - 2007 - 442 pages
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Mobile Ad-hoc and Sensor Networks: First International Conference, MSN 2005 ...

Xiaohua Jia, Jie Wu, Yanxiang He - Business & Economics - 2005 - 1136 pages
...problem space by following the current optimum particles[7]. PSO is an iteration-based optimal algorithm. The system is initialized with a population of random...solutions and searches for optima by updating generations. In the search process, PSO combine local information with global information, that is, a particle adjusts...
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III European Conference on Computational Mechanics: Solids, Structures and ...

C. A. Mota Soares, J.A.C. Martins, H.C. Rodrigues, Jorge A.C. Ambrosio, C.A.B. Pina, C.M. Mota Soares, E.B.R. Pereira, J. Folgado - Technology & Engineering - 2008 - 788 pages
...popular swarm inspired method in computational intelligence area is Particle Swarm Optimization (PSO). PSO shares many similarities with evolutionary computation techniques such as genetic algorithms. The system is initialized with a population of random solutions. Taking into account the best positions...
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Bio-inspired Modeling of Cognitive Tasks: Second International Work ...

José Mira, José R. Álvarez - Computers - 2007 - 632 pages
...adjusted and usually PSO achieves better results in a faster, cheaper way compared with other methods. PSO is initialized with a population of random solutions and searches for optima by updating generations. The potential solutions, called particles, fly through the problem space by following the current optimum...
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Analysis and Design of Intelligent Systems Using Soft Computing Techniques

Patricia Melin, Oscar Castillo, Eduardo G. Ramírez, Witold Pedrycz - Technology & Engineering - 2007 - 855 pages
...by Eberhart and Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling [3]. PSO shares many similarities with evolutionary computation techniques such as Genetic Algorithms (GA) [6]. The system is initialized with a population of random solutions and searches for optima by updating...
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Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)

Natalio Krasnogor, Vincenzo Nicosia, Mario Pavone, David Alejandro Pelta - Computers - 2008 - 520 pages
...population based stochastic optimization technique developed by Dr. Eberhart and Dr. Kennedy in 1995 [14] inspired by social behavior of bird flocking or fish...initialized with a population of random solutions. There is a fitness measure present and the population is continuously updated. The search for optima...
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics ...

Elena Marchiori - Computers - 2008 - 211 pages
...optimization technique developed by Eberhart and Kennedy in 1995 |10I11I12]. inspired by the social behaviour of bird flocking or fish schooling. PSO shares many...initialized with a population of random solutions (particles) and searches for optima of the given objective function by iteratively updating the positions...
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Evolutionary Computation in Combinatorial Optimization: 8th European ...

Jano van Hemert - Computers - 2008 - 288 pages
...stochastic optimization technique, inspired by social behavior of bird flocking or fish schooling |13j. PSO shares many similarities with evolutionary computation...(GA). The system is initialized with a population solutions and searches for optima by updating generations. However, unlike GA, PSO has no evolution...
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