objective particle swarm optimization
Hybrid fuzzy multi-objective particle swarm optimization for taxonomy extraction
... using particle swarm optimization and fuzzy ...multi-objective particle swarm optimization and fuzzy systems for taxonomy extraction will also be ...
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Solving a new bi-objective model for a cell formation problem considering labor allocation by multi-objective particle swarm optimization
... of swarm intelligence methods, make them more robust and efficient than classical methods like goal ...multi-objective particle swarm optimization (MOPSO) was applied to solve the ...
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Multi Objective Particle Swarm Optimization for A Dynamic Cell Formation Problem
... multi objective dynamic cell formation with production planning consideration is presented in this paper, where total workload variations, inter-intra cellular movements and the sum of costs consisting machine ...
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Stopping Criteria for a Constrained Single-Objective Particle Swarm Optimization Algorithm
... Every optimization algorithm includes a stopping rule but there are only few works concentrating explicitly on stop- ping ...a Particle Swarm Op- timization algorithm is detected by computing a ...
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A novel hybrid teaching learning based multi-objective particle swarm optimization
... Deb et al [6] proposed a selector scheme using nondominated ranking and crowded distance sorting with respect to fitness and spread. However, the original crowded sorting (CS) method remains two problems: 1) The sort of ...
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Optimal Reservoir Operation Using MOPSO with Time Variant Inertia and Acceleration Coefficients
... of Particle Swarm Optimization to solve Multi-Objective optimization Problems, named multi-objective Particle Swarm Optimization (MOPSO), are the seminal ...
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A Unified Framework for Participation of Responsive End-User Devices of Smart Grid with Imopso
... each particle, and adopts an external set truncation strategy to maintain the diversity in the Pareto optimal ...every particle to improve the search efficiency of ...multi objective particle ...
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A Systematic Literature Review- SLR On Recent Advances And Variants Of Grey Wolf Optimization
... problem optimization problems, GWO has been reformed in search space of difficult ...wolf optimization improve as multi-objective grey wolf optimization to solve the multi- objective ...
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Time–Cost–Quality Trade-O in a Broiler Production Project Using Meta-Heuristic Algorithms: A Case Study
... multi-objective particle swarm optimization (MOPSO), were compared and ...the objective function and its assigned weights in terms of time, cost, and quality can be applied to select ...
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A hybrid particle swarm evolutionary algorithm for constrained multi-objective optimization
... for bi-objective optimization problems. It can assign larger crowding distance func- tion values not only for the particles located in the sparse region but also for the particles located near to the ...
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Multiple Particle Swarm Optimizers with Inertia Weight for Multi-objective Optimization
... Owing to the bigger difference between the two boundary values of the variable inertia weight, it is obvious that the search behavior of the PSOIW achieves a search shift which smoothly changes from exploratory mode to ...
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Multi objective enhanced particle swarm optimization in virtual network embedding
... Network virtualization is a promising technique with the purpose of overcoming the ossification of the Internet by means of supporting multiple VNs to cohabit on a shared substrate infrastructure. In the environment of ...
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Particle swarm optimization for a bi-objective web-based convergent product networks
... X is a new n bit binary string. Because the solution of CPSTP is a maximum spanning tree, we need to design a method to convert a binary string to a corresponding MST, and then the benefits of the edges of MST and the ...
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Handling Multi Objectives of with Multi Objective Dynamic Particle Swarm Optimization
... The Particle Swarm Optimization algorithm is implemented dynamic nature ...Dynamic Particle Swarm ...for optimization of ...
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The planing of distribution generation (dg) based on multi objective quantum particle swarms optimization (qpso)
... quantum particle swarm optimization (QPSO) which intergrates particle swarms optimization (PSO) into the quantum evolutionary ...of particle, and searches for the osition of ...
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Optimal Capacitor Allocation in 69-bus Radial Distribution System to Improve Annual Cost Savings for Dynamic Load Sarath Bapu R S S 1, Chandra Prakash V2 , Dr. S.M.Kannan 3
... Particle swarm optimization is a population based stochastic optimization technique developed by ...nonlinear optimization problems with continuous ...
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A Novel PSO Algorithm Model Based on Population Migration Strategy and its Application
... global optimization problem of the objective function having nonlinear or multipeaked ...global optimization algorithms were proposed mainly through the simulation of the evolution process of a group ...
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AHP COA Combined Algorithm for Selecting a Digital Production Machine Design
... multi-objective optimization problems: such as Ant Colony algorithm, COA (Cuckoo Algorithm, Genetic algorithm, particle swarm optimization algorithm, fuzzy optimization ...
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Multi-Objective Optimization Design of Magnetic Bearing Based on Genetic Particle Swarm Optimization
... From the data in Table 2, the performance of the HMB has been greatly improved by the GAPSO; the volume decreases from 2.534E-4 m 3 to 1.976E-4 m 3 with the rate 22%; the axial length decreases from 40 mm to 36 mm, a ...
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Particle Swarm Optimization Used To Tuned The PID Controller For Load Frequency Control of Power Sys
... The objective of this work is introducing the particle swarm optimization technique for tuning of PID controller which is used to reduce the area control error and to minimize the frequency ...
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