multi-objective particle swarm optimization
Multi objective particle swarm optimization (MOPSO) for performance testing in web application
... proposed Multi objective particle swarm optimization performance testing (MOPSOPT) used to optimize the server ...the objective function such as less workload, maximum CPU ...
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Hybrid fuzzy multi-objective particle swarm optimization for taxonomy extraction
... using particle swarm optimization and fuzzy ...using 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 ...a multi-objective particle swarm optimization (MOPSO) was applied to solve ...
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Multi-Objective Particle Swarm Optimization for Multicast Load Balancing in Wireless Mesh Networks
... propose multi-objective Particle swarm optimization PMRGLB Heuristic approach that minimizes the load balancing for multicast in ...on Multi- Objective Particle ...
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An Improved Adaptive Multi-Objective Particle Swarm Optimization for Disassembly Line Balancing Problem
... of particle swarm optimization (PSO) algorithm in solving DLBP, this paper proposed an improved adaptive multi-objective particle swarm optimization (IAMOPSO) ...
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Multi Objective Particle Swarm Optimization for A Dynamic Cell Formation Problem
... new 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 ...
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Discrete Multi Objective Particle Swarm Optimization Algorithm for FPGA Placement (RESEARCH NOTE)
... that particle swarm optimization (PSO) is one of the practical evolutionary algorithms for this kind of ...use multi-objective particle swarm optimization (MOPSO) ...
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Multi-objective Particle Swarm Optimization considering the diversity of the inferior solutions
... Range Particle Swarm Optimization, ...Multiobjective Optimization Using Dynamic Neighborhood Particle Swarm Optimization, IEEE Pro- ceedings, World Congress on ...
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A novel hybrid teaching learning based multi-objective particle swarm optimization
... each particle in population provides great benefits to control convergence and promote diversity of solutions ...[26], multi-objective dichotomy line search (MOLS) strategy is activated periodically ...
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DESIGN OF ROBUST YOULA-KUCERA CONTROLLER FOR SERVO MOTOR USING MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZATION.
... In controller design, the Youla-Kucera Parameterization is useful as in it we can represent all the closed loop transfer functions in terms of Youla-Kucera parameter Q. This paper presents a methodology to address the ...
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Interactive multi-objective particle swarm optimization with heatmap-visualization-based user interface
... of swarm size and user fatigue, the proposed IMOPSO method employs a novel user interface design to limit the workload on the decision maker by presenting the data in a way more suitable for the human brain to ...
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A hybrid particle swarm optimization and harmony search algorithm approach for multi-objective test case selection
... for multi-objective TC selection: (1) the Binary Multi-Objective Particle Swarm Optimization with Crowding Distance and Roul- lete Wheel (BMOPSO-CDR) and (2) a hybrid ...
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A Multi Objective Chaotic Particle Swarm Optimization Algorithm Based on Improved Inertial Weights
... of multi-objective particle swarm algorithm, an improved multi-objective particle swarm optimization algorithm was ...
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A New Particle Swarm Optimization Algorithm to Hierarchy Multi-objective Optimization Problems and Its Application in Optimal Operation of Hydropower Stations
... Particle swarm optimization (PSO) is a population based stochastic optimization technique developed by ...various optimization problems due to its unique searching mechanism, excellent ...
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Adaptive mufti-objective particle swarm optimization algorithm
... a multi- objective PSO, called adaptive multi-objective particle swarm optimization ...handling optimization problems of different ...
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Multi-Objective Design Optimization of a Linear Brushless Permanent Magnet Motor Using Particle Swarm Optimization (PSO)
... this objective function, the force pulsations would be ...second objective function. At least, a multi-objective optimization is discussed and both thrust ripple and thrust density ...
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Based on Particle Swarm Optimization Algorithm for Finding Ideal and Effective Solution of Dynamic Batch Reactor Multi objective Optimization
... a multi-objective dynamic optimization problem, and it is difficult to solve the multi-objective and it involves the numerical solution of differential ...The particle ...
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A Hybrid Differential Particle Swarm Optimization Approach to Solve a Multi-objective Parallel Machine Scheduling Problem
... types of the scheduling problems. A lot of research has been made on parallel machines, independent of the machine environment, i.e. on identical machines, unrelated, etc. In a general PMS problem, a set of n independent ...
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MLPSO: Multi leader particle swarm optimization for multi objective optimization problems
... The particle swarm optimization (PSO) algorithm, which uses the best experience of an individual and its neighborhood to find the optimum solution, has proven useful in solving various ...
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Multi-Objective Optimization of Solar Thermal Energy Storage Using Hybrid of Particle Swarm Optimization and Multiple Crossover and Mutation Operator
... paper, multi- objective (MO) based on hybrid of Particle Swarm Optimization (PSO) and multiple crossover and mutation operator is used for Pareto based optimization of solar ...
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