In recent years, there has been a growing interest in the study of particle swarm optimization (PSO) dynamic environments. This paper presents new PSO model, called with composite particles (PSO-CP), to address problems. PSO-CP partitions into set based on their similarity using "worst first" principle. Inspired by phenomenon physics, elementary members each interact via velocity-anisotropic reflection scheme integrate valuable information for effectively and rapidly finding promising optima...

In this study, we investigated the possibility of using genetic algorithms to solve shortest path problems. The most thorny and critical task for developing a algorithm problem is how encode in graph into chromosome. A priority-based encoding method proposed which can potentially represent all possible paths graph. Because variety network optimization problems may be solved, either exactly or approximately, by identifying path, studies will provide base constructing efficient solution...

ABSTRACT This paper investigates an adaptive optimal admittance control scheme for robot manipulators interacting with unknown environment. To resolve the optimized interaction performance considering tracking error and force, impedance adaptation approach is developed without initial stabilizing policy. Based on gradient‐based updating method, online solution can exponentially converge to gain prior knowledge of environment dynamics. A nonlinear mapping method integrated into control,...

Abstract Considering that the demand requirements are fuzzy in each period during planning horizon, this paper focuses on a novel approach to modelling multi-product aggregate production (APP) problems with demands and capacities. The objective of problem considered is minimize total costs quadratic linear inventory holding costs. By means formulation demand, addition equation, productioninventory balance equation single stage dynamic formulated as soft equations terms degree truth,...

Misalignments are unavoidable in most applications of the planetary roller screw mechanism (PRSM) due to many potential causes. However, effect misalignments on contact characteristics for PRSM have not been thoroughly investigated. In this paper, a comprehensive analytical procedure performance considering is proposed. First, positions and clearances with calculated. Next, an improved model presented evaluation load distribution, which variation axial taken into consideration. The numerical...

In order to test the performance of hybrid push pull production control strategy proposed by Hodgson and Wang, a simulation software for flow-shop manufacturing systems was developed. It uses structure model describe assembling processes any line. By using model, material flow controlled different strategies can be simulated description equations. Simulation results have demonstrated that recommended is still best one all general mass product systems. This also used analyse practical...

Effective production control systems are important for any manufacturing plant. In order to obtain effective control, several different have been proposed. MRP, Kanban and CONWIP the most popular among these. this paper, a simulation analysis compares three implemented in semi-continuous environment: cold rolling Simulation results show usthat system is efficient of It can greatly decrease WIP(Work-In-Process), average inventory costs, while providing higher throughput rate facility...

For a make-to-order manufacturing system, the uncertainty and flexibility of due dates required by customers production capacity owned manufacturer can be modeled in fuzzy environment. A combined due-date assignment planning methodology for systems is developed. The approach determines optimal based upon "rough-cut" resource balance, while customer request earlier paying higher price to cover extra cost incurred. resulting bargainer exercised using (MRP-II) data from furniture company....

An improved Particle Swarm Optimization (PSO) algorithm for resource-constrained project scheduling problem is proposed. The particle presentation, encoding scheme and decoding rule of this are presented. Improvements based on the basic PSO include: swarm initialized by heuristic to improve quality particles; inertia weight self-adapted with iteration decelerate speed crossover mechanism genetic applied enable exchange good characteristics between two particles. Computational results...

Astronomical positioning and orientation are important components of astronomical geodesy tasks, they could also be used for real-time celestial navigation. In traditional methods, can only implemented separately, all the observations with different levels precision given same weight. To change this, a unified model based on robust estimation was developed. First, problem that coordinate rotation parameters difficult to calculate directly solved by using Rodrigues matrix. Consequently,...

As fresh agriculture products market has become buyer’s and bird flu happens globally, consumers are paying more attention to products' quality, safety, packaging, etc. Whether these can be efficiently delivered at low cost will considered as a national strategy develop rural economic improve farmers' income stably. With this background, the paper focuses on research of distribution model vehicle routing optimization agricultural products. On basic detailed researching logistic characters,...

In any business process reengineering (BPR) project, a thorough understanding of various tasks and activities the organization is required. Very often this idea captured using simple flow chart or static representation diagram. The weakness here that design complexity not adequately represented by use charts, allows for limited human-computer interaction during analysis. paper, we propose an enhanced approach; concept activity-section to support BPR, which combination existing activity...

Forecast of annual electricity demand is very important for the market settlement and transmission pricing power system. Therefore, a forecasting model combing back propagation (BP) neural network three sub-swarms particle swarm optimization (THSPSO) proposed. Some economical factors year to be forecasted, such as gross product, population, price index, so on, are considered in forecast model. On other hand, demands time series. Firstly, weights bias if globally optimized based on THSPSO,...