TY - CHAP A1 - M. B. Abdelhalim A2 - S. E. –D. Habib ED1 - Aleksandar Lazinica Y1 - 2009-01-01 PY - 2009 T1 - Particle Swarm Optimization for HW/SW Partitioning N2 - Particle swarm optimization (PSO) is a population based stochastic optimization technique influenced by the social behavior of bird flocking or fish schooling.PSO shares many similarities with evolutionary computation techniques such as Genetic Algorithms (GA). 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. In PSO, the potential solutions, called particles, fly through the problem space by following the current optimum particles. This book represents the contributions of the top researchers in this field and will serve as a valuable tool for professionals in this interdisciplinary field. BT - Particle Swarm Optimization SP - Ch. 3 UR - https://doi.org/10.5772/6740 DO - 10.5772/6740 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-07-23 ER -