A dynamic organizational adjustment particle swarm optimization-based particle filter algorithm (OAPSO-PF) is presented in this paper in order to solve the problem of low precision and complicated calculation of particle filter based on particle swarm optimization algorithm(PSO-PF). Through the mutual competition and collaboration among organizations, this algorithm allows the particles to adap...

This paper researches on a special job-shop scheduling problem meeting capabilities of equipments and different due-dates. Its model is developed, which can accord process capacity and different due-dates in numerous jobs to select some to process, and the objective is as far as possible to maximize output. In order to solve complex scheduling problems proposed in this paper, a discrete particl...

This paper presents an approach where the Particle swarm optimization (PSO) is employed to get optimum PID controller parameters to control of a SCARA robot. PSO is an evolutionary technique which is originated from swarm intelligence. A practical application of the PSO-PID controller is performed with the system dynamics. A simulation study is also included with the proposed controller by usin...

An optimal design of a linear antenna array is presented. The antenna array is optimized under the restriction of uniform excitation distribution using a particle swarm optimization based method. The optimization procedure is applied under the requirements for the minimum possible side lobe level and the maximum possible power gain at the desired direction. The method has been applied to collin...

A new particle filter algorithm based on new Clone particle swarm optimization(NCPSO-PF) is presented in this paper in order to solve the problem of low precision and complicated calculation of particle filter based on particle swarm optimization algorithm(PSO-PF). The algorithm enables the particles to fit the environment better and then reach the goal of global optimization through orthogonal...

According to the intelligent behavior of social population, the centroid of the individual best of particle swarm is firstly introduced in particle swarm optimization (PSO) model to enhance inter-particle cooperation and information sharing capabilities, then combining the mechanism of population migration algorithm (PMA), a novel PSO algorithm with adaptive space mutation (PMCPSO) is proposed ...

This chapter introduces the methodology of particle swarm optimization algorithm usage as a tool for finding customer profiles based on a previously developed predictive model that predicts events like selection of some products or services with some probabilities. Particle swarm optimization algorithm is used as a tool that finds optimal values of input variables within developed predictive mo...

In recent days, self-assembling swarm robots have been studied by a number of researchers due to their advantages such as high efficiency, stability, and scalability. However, there are still critical issues in applying them to practical problems in the real world. The main objective of this study is to develop a novel self-assembling swarm robot algorithm that overcomes the limitations of exis...

Justification is a simple technique which was presented for improving the quality of schedules generated with algorithms for solving RCPSPs. Few researches implemented justification with meta-heuristics and proved that algorithms optimization results using justification outperforms the performance of the same algorithms without justification. In this paper, Stacking Justification is presented f...

This study, for its research subjects, uses patients who had undergone total knee replacement surgery from the database of the National Health Insurance Administration. Through the review of literatures and the interviews with physicians, important factors are selected after careful screening. Then using Cross Entropy Method, Genetic Algorithm Logistic Regression, and Particle Swarm Optimizatio...