Abstract :
An adaption feature of particle swarm
optimization features have better search efficiency than
particle swarm optimization (PSO) is presented. It can
perform a global search over the entire search space with
faster convergence speed. APSO enables automatic control
of weight, acceleration coefficients, and other parameters
to improve efficiency and convergence speed. . Results
show that APSO substantially enhances the performance of
the PSO paradigm in terms of convergence speed, and
solution accuracy, and algorithm reliability.
Keyword :
Adaptive Particle Swarm Optimization; Global Optimization; Particle Swarm Optimization (PSO)