Vehicle routing problem is a NP-hard problem in combination optimization problem, It is influenced by many factors, and the process is complex. However, the search space of particle swarm algorithm is limited and prone to precocious phenomenon. In this paper, we based on the original particle swarm optimization, present a new way of location update algorithm (VPSO).VPSO in the process of solvin...

for a uniform distribution of water, decrease in water waste and decrease in erosion of soil, it is important that a land be prepared with proper slopes along its length as well as width. the aim of leveling is to create appropriate slopes for irrigation and drainage on the lands that were not already properly levelled and of the same time creating the level surface with a minimum transport of ...

in this paper, the optimal design of a three phase surface mounted permanent magnet synchronous motor has been done by particle swarm optimization and bees algorithm. this machine has been designed for high speed applications, and an epoxy and glass fiber bandage is used for permanent magnet protection against centrifugal forces. the optimization has been done by new design equations to improve...

Abstract To address the shortcomings of particle swarm algorithm in solving PID controller parameter optimization problem late stage, an improved is proposed for problem. The optimized by introducing a nonlinear decreasing inertia weight adjustment strategy so that pre-flight speed particles does not drop too fast, thus balancing global search ability with local and avoiding falling into optimu...

With the rapid development of social economy, all circles places higher demands on electricity industry. As a fundamental industry supporting salvation national society, and human life, will face significant improvement restructuring network as an important part power system should also be optimised. This paper first introduces history swarm intelligence algorithm related research work at home ...

This paper presents a new multi-objective optimization algorithm in which multi-swarm cooperative strategy is incorporated into particle swarm optimization algorithm, called multi-swarm cooperative multi-objective particle swarm optimizer (MC-MOPSO). This algorithm consists of multiple slave swarms and one master swarm. Each slave swarm is designed to optimize one objective function of the mult...