[PDF] Top 20 Hybrid fuzzy multi-objective particle swarm optimization for taxonomy extraction
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Hybrid fuzzy multi-objective particle swarm optimization for taxonomy extraction
... Improving the performance of fuzzy systems is also an important issue. In the literature review, several techniques have been developed which successfully improve the performance in fuzzy system. Adjusting ... See full document
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A Multi objective function Based Optimization for minimal Cost, Emission and Voltage Stability using Fuzzified PSO
... an objective function is formulated the other two values are high similarly while stability problem is solved results shows that the other two are ...problem multi objective function is formed with ... See full document
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Time–Cost–Quality Trade-O in a Broiler Production Project Using Meta-Heuristic Algorithms: A Case Study
... with fuzzy numbers and, for managing the risks, it uses the variable α, a parameter determined by the manager in an interval between 0 and ...the multi-objective imperialist competitive algorithm ... See full document
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Solving a new bi-objective model for a cell formation problem considering labor allocation by multi-objective particle swarm optimization
... apply multi-objective models (MOMs) for solving the cell formation ...bi- objective model for solving the CFP that minimizes the inter-cell movements and cell loading unbalances ...a ... See full document
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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 ... See full document
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A Hybrid Differential Particle Swarm Optimization Approach to Solve a Multi-objective Parallel Machine Scheduling Problem
... a hybrid algorithm to solve multi-objective UPMS with sequence-dependant setup ...Our objective is to achieve faster convergence rate and obtain better pareto optimal ...the ... See full document
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Multi-Objective Optimization of Solar Thermal Energy Storage Using Hybrid of Particle Swarm Optimization and Multiple Crossover and Mutation Operator
... in objective function space) or ...solving multi objective optimization problems, it is obvious that the original scheme has to be ...global optimization). Instead, in multi ... See full document
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An Efficient Hybrid Comparative Study Based on ACO, PSO, K Means With K Medoids for Cluster Analysis
... a hybrid evolutionary algorithm to solve nonlinear partitional clustering ...adaptive particle swarm optimization), ACO (ant colony optimization) and k-means algorithms, called ... See full document
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Multi-Objective Optimization Design of Magnetic Bearing Based on Genetic Particle Swarm Optimization
... traditional optimization method mainly uses single-objective optimization by finite element software, in which calculation amount is large, and it is difficult to obtain an optimal solution for the ... See full document
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AHP COA Combined Algorithm for Selecting a Digital Production Machine Design
... for multi-objective optimization problems: such as Ant Colony algorithm, COA (Cuckoo Algorithm, Genetic algorithm, particle swarm optimization algorithm, fuzzy ... See full document
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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
... As a metaheuristic algorithm, PSO is performing well for small dimensional and less complicated problems. However, it fails to locate global minima for the complex multiminima functions. Although it locates the promising ... See full document
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A novel hybrid teaching learning based multi-objective particle swarm optimization
... meta-heuristic multi-objective optimization (MOO) ...novel hybrid teaching learning based particle swarm optimization (HTL-PSO) with circular crowded sorting (CCS), named ... See full document
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A hybrid particle swarm evolutionary algorithm for constrained multi-objective optimization
... Particle swarm optimization (PSO) [12, 13] is a relatively recent heuristic in- spired by the choreography of a bird ...the multi- objective optimization mainly because of the ... See full document
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A Unified Framework for Participation of Responsive End-User Devices of Smart Grid with Imopso
... plug-in hybrid electric vehicles (PHEVs), and domestic controllable loads at residential level to effectively participate in the voltage and frequency control of the smart ...improved multi-objective ... See full document
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Design of a New Mathematical Model for Integrated Dynamic Cellular Manufacturing Systems and Production Planning
... Many researchers have participated in developing some methods of scheduling. Most of these methods are defined for the productive environments, because production planning is one of those fields in which methods of ... See full document
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A Review on Clustering Web data using PSO
... as Particle Swarm Optimization ...bio-inspired swarm intelligence algorithm introduced by Kennedy and Eberhart in 1995 as a population-based stochastic search and optimization process ... See full document
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EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things
... The Particle Swarm Algorithm, an evolutionary intelligence algorithm, was first proposed by Kennedy and Eberhart in 1995 . Comparing to other algorithms, it has many advantages. For instance, it is not easy ... See full document
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Distribution feeder reconfiguration for loss minimization based on Modified Honey Bee Mating Optimization algorithm
... mating optimization (MHBMO) algorithm, make-up distribution network for reconfiguration 32 Bus samples (Baran and Wu distribution test system) used, and ...Because optimization algorithms based on search ... See full document
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An Efficient Methodology for Multiple Fault Diagnosis Including Crosstalk Defects Using Multi-Objective Particle Swarm Optimizer Aiswarya A *1 , Shiji A.S 2, Dr. Sreeja Mole S.S3
... proposed multi-objective PSO [16] based multiple fault ...The objective of diagnosis is to identify logic faults in the netlist that could explain the observed test-vector ... See full document
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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
... in fuzzy expert system, the system is also designed to operate on the values between 0 and ...The fuzzy expert system is fed with voltage and power loss indices(PLI), where PLI are the loss reductions, ... See full document
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