Qpso algorithm with the local attractor point subject to a gaussian. Quantum particle swarm optimization for electromagnetics. This is the first book devoted entirely to particle swarm optimization pso, which is a nonspecific algorithm, similar to evolutionary algorithms, such as taboo search and ant colonies. Its searching performance is better than the original particle swarm optimization algorithm pso, but the control parameters are less and easy to fall into local optimum. A numerical optimization problem is one where the goal is to minimize some. In order to enhance the optimization ability of qpso by integrating quantum computation, we propose an improved quantum behaved particle swarm optimization algorithm. In computational science, particle swarm optimization pso is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure. Before describing the new method, we first introduce the origin and development of the pso and qpso. A rudimentary pso variant, with just one implicit fixed topology, which is far to be the best one for multimodal problems. Kishk center of applied electromagnetic systems research, department of electrical engineering, university of mississippi, university, ms 38677, usa abstract a new particle swarm optimization pso technique for electromagnetic applications is proposed. Pdf the objective of the research is to extend the potential of standard quantum particle swarm optimization qpso method for. Gaussian quantumbehaved particle swarm optimization. It is worth looking at the dynamics of a psodriven swarm to gain a better understanding.
Basic particle swarm optimization social network structures basic variations basic pso parameters single. Abstract this paper presents a variant of quantum behaved particle swarm optimization qpso named qqpso for solving global optimization problems. Particle swarm optimization in matlab yarpiz video tutorial part 23 duration. Pdf a quantum particle swarm optimization method with fitness. Particle swarm optimization pso is a technique to solve a numerical optimization problem. A quantum particle swarm optimization algorithm with.
Pdf in this work, an algorithm for classical particle swarm optimization pso has been discussed. In this paper, inspired by the analysis of convergence of pso, we study the individual particle of a pso system moving in a quantum multidimensional space and establish a quantum delta potential well model for pso. Pdf a new particle swarm optimization pso technique for. Particle swarm optimization computational intelligence. The paper proposed teamwork evolutionary strategy for balance global search and local search. A quantum particle swarm optimization approach for feature. The quantum particle swarm optimization algorithm is a global convergence guarantee algorithm. Quantum particle swarm optimization for electromagnetics said mikki and ahmed a. Quantumbehaved particle swarm optimization algorithm with. Particle swarm optimization with particles having quantum behavior abstract. Since its original development in 1995, pso has mainly been applied to continuousdiscrete heterogeneous strongly nonlinear numerical optimization and it is. Its searching performance is better than the original particle swarm optimization algorithm pso. Gaussian quantum behaved particle swarm optimization approaches for constrained engineering design problems.
In this paper, inspired by the analysis of convergence of pso, we study the individual particle of a pso system moving in a quantum multidimensional space. A brief introduction of particle swarm optimization youtube. Particle swarm optimization with particles having quantum. Parameter selection of quantumbehaved particle swarm.
Quantum particle swarm optimization for electromagnetics core. A quantum inspired version of the pso algorithm qpso was proposed very. A quantuminspired version of the pso algorithm qpso was proposed very. Pdf a quantum particle swarm optimization algorithm with. Particle swarm optimization with particles having quantum behavior. Pdf quantum particle swarm optimization for electromagnetics.
The qqpso algorithm is based on the characteristics of qpso, and uses interpolation based. In order to cope with this limitation, a variety of artificial intelligence algorithms, such as particle swarm optimization pso based memetic. Article chaotic quantum double delta swarm algorithm. A project submitted for uw it fdn 120 class introducing particle swarm optimization, and coding a benchmark function. Pdf a new quantum behaved particle swarm optimization. Inspired by quantum mechanics and trajectory analysis of. Pdf this paper presents a variant of quantum behaved particle swarm optimization qpso named qqpso for solving global optimization problems. A quantum particle swarm optimization algorithm with teamwork. Improved quantumbehaved particle swarm optimization.
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