While solving the optimization problems of complex functions, particle swarm optimization
(PSO) would be easy to fall into trap in the local optimum. Besides that, it has slow …

This paper establishes that the basic particle swarm optimisation (BPSO) technique can
perform efficiently without some (or any) of the control parameters in the particle velocity …

Particle Swarm Optimization (PSO) is a bio-inspired optimization algorithm which has been
empirically demonstrated to perform well on many optimization problems. However, it has …

With the development of science and technology, optimization methods for complicated
optimization problems which having high real-time requirement are getting more and more …

Particle swarm optimization (PSO) is a population based swarm intelligence algorithm that
has been deeply studied and widely applied to a variety of problems. However, it is easily …

Particle Swarm Optimization (PSO) is a recently developed optimization method, which has
attracted interest of researchers in various areas due to its simplicity and effectiveness, and …

Particle Swarm Optimization (PSO) is a population-based computational intelligence
paradigm; it originated as a simulation of simplified social model of birds in a flock. The PSO …

In recent years, particle swarm optimization (PSO) has been extensively applied in various
optimization problems because of its structural and implementation simplicity. However, the …

Abstract This paper presents Combined Heuristic Optimization Techniques of Particle
Swarm Optimization (PSO) algorithm with Simulated Annealing (SA). Particle Swarm …

In the original particle swarm optimisation (PSO) algorithm, the particles' velocities and
positions are updated after the whole swarm performance is evaluated. This algorithm is …