TY  - CHAP
AU  - M. B. Abdelhalim
AU  - S. E. –D. Habib
ED  - 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  - 2024-04-25
ER  -