This paper presents a new optimization model— Dynamic Particle Swarm Optimizer (DPSO). A new acceptance rule that based on the principle of minimal free ...

This provides a new way of thinking for the improvement of the PSO algorithm. Experimental results on a relatively new variant of dynamic probabilistic particle ...

In this paper, we propose a new particle swarm optimization algorithm for dynamic environments. The proposed algorithm utilizes a parent swarm to explore the ...

DPSO is that all particles in a swarm are running and searching with their swarm evolving driven by a new selecting mechanism. This mechanism simulates the ...

In this paper, we propose a new particle swarm optimization algorithm for dynamic environments. The proposed algorithm utilizes a parent swarm to explore the.

Oct 15, 2006 · This paper presents a new optimization model— Dynamic Particle Swarm Optimizer (DPSO). A new acceptance rule that based on the principle of ...

This paper presents the Dynamic Particle Swarm Optimization algorithm for solving multiobjective optimization problem.

Jul 22, 2021 · We introduce FLAPS, a self-adapting variant of dynamic particle swarm optimization, to overcome this parameter selection problem.

Particle swarm optimization (briefed as PSO) is a kind of bionic evolutionary algorithm which rooted in imitation of behavioral mechanisms in populations such ...

This paper has presented a new variant of PSO, dynamic particle swarm optimizer (DPSOEP). DPSOEP is inspired from animal search behavior and group living ...