نتایج جستجو برای: chaotic particle swarm optimization cpso

تعداد نتایج: 503669  

In this article, multiple-product PVRP with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. A mathematical formulation was provided for this problem. Each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. To solve the problem, two meta-heuristic methods...

2016
Chunfeng Wang Kui Liu

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 many variants have been proposed. In this paper, a novel Particle Swarm Optimization algorithm is presented, in which the information of the best neighbor of each particle and the best particle of the entire popu...

Journal: :ECTI Transactions on Electrical Engineering, Electronics, and Communications 2022

The brushless direct current (BLDC) motor drive is gaining popularity due to its excellent controllability and high efficiency. This paper introduces a fault diagnosis method for open circuit (OC) short (SC) BLDC drives using hybrid classifier with optimization. Features such as current, voltage, speed, torque are considered the training data. features extracted by discrete wavelet transform (D...

Journal: :The Open Cybernetics & Systemics Journal 2014

Journal: :IEICE Transactions on Information and Systems 2008

Among variety of meta-heuristic population-based search algorithms, particle swarm optimization (PSO) with adaptive inertia weight (AIW) has been considered as a versatile optimization tool, which incorporates the experience of the whole swarm into the movement of particles. Although the exploitation ability of this algorithm is great, it cannot comprehensively explore the search space and may ...

2016
Min-Liang Huang Sukanta Basu

Abstract: In existing forecasting research papers support vector regression with chaotic mapping function and evolutionary algorithms have shown their advantages in terms of forecasting accuracy improvement. However, for classical particle swarm optimization (PSO) algorithms, trapping in local optima results in an earlier standstill of the particles and lost activities, thus, its core drawback ...

Journal: :I. J. Network Security 2013
Monjur Alam Sonai Ray

The paper puts forward the design of an intelligent SHA-1 based crypto system. For a given 512-bit message stream the intelligence of the system lies in its power of predicting the probable-colluders. Along with the conventional SHA-1 architecture, our scheme employs a predictor control block which takes the message stream from the user, and provides the log-list of the equal length bit-streams...

Journal: :Xibei gongye daxue xuebao 2021

In order to solve the problem of path planning for spacecraft cluster reach dynamic target point under premise considering obstacle avoidance. view fixed search radius, it will be difficult find a better value when is close point. This paper converts orbital dynamics each member into an optimization constraints, and proposes improved CPSO algorithm based on coordination. The method traditional ...

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