 | Vivekanandu Shanmuganathan, K. Raja, P. Kuppan - Business & Economics - 2005 - 1038 pages
...fitness function to be optimized, and have velocities, which direct the flying of the particles. The particles fly through the problem space by following the current optimum particles. PSO is initialized with a group of random particles (solutions) and then searches for optima by updating... | |
 | S. Narayanan, K. Gokul Kumar, K. Janardhan Reddy, P. Kuppan - Social Science - 2006 - 1112 pages
...be optimized, and have velocities, which direct the flying of the particles. The particles are flown through the problem space by following the current...keeps track of its co-ordinates in the problem space, which are associated with the best solution (Fitness) it has achieved so far. The fitness value is... | |
 | Quiang Yang, Geoff Webb - Computers - 2006 - 1291 pages
...is not suitable, and the updating method should be redefined to fit the problems. 2) Updating of the particles: Each particle keeps track of its coordinates in the problem space, which are associated with the best solution (fitness) it has achieved so far. This value is called... | |
 | Rajendran Saravanan - Technology & Engineering - 2006 - 256 pages
...fitness function to be optimized and have velocities that direct the "flying" of the particles. The particles fly through the problem space by following the current optimum particles. PSO is initialized with a group of random particles (solutions) and then searches for optima by updating... | |
 | S.N. Sivanandam, S. N. Deepa - Technology & Engineering - 2007 - 442 pages
...generations. However, unlike GA, PSO has no evolution operators such as crossover and mutation. In PSO, the potential solutions, called particles, fly through...space by following the current optimum particles. In past several years, PSO has been successfully applied in many research and application areas. It... | |
 | Patricia Melin, Oscar Castillo, Eduardo G. RamÃrez, Witold Pedrycz - Technology & Engineering - 2007 - 855 pages
...generations. However, unlike GA, the PSO has no evolution operators such as crossover and mutation. In PSO, the potential solutions, called particles, fly through...problem space by following the current optimum particles [10]. Each particle keeps track of its coordinates in the problem space, which are associated with... | |
 | Natalio Krasnogor, Vincenzo Nicosia, Mario Pavone, David Alejandro Pelta - Computers - 2008 - 520 pages
...generations. However, unlike GA, the PSO has no evolution operators such as crossover and mutation. In PSO, the potential solutions, called particles, fly through...space by following the current optimum particles. Particles update themselves with the internal velocity. They also have memory, which is important to... | |
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Each particle keeps track of its coordinates in the problem space, which are associated with the best solution (fitness) it has achieved so far (The fitness value is also stored). This value is called pbest. Another "best... 