[PDF] Top 20 A. Binary Particle Swarm Optimization
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A. Binary Particle Swarm Optimization
... In this paper, chaotic binary particle swarm optimization (CBPSO) with logistic map for determining the inertia weight is used. The K-nearest neighbor (K-NN) method based on Euclidean distance ... See full document
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Using Binary Particle Swarm Optimization for Minimization Analysis of Large-Scale Network Attack Graphs
... constrained optimization problem. In this paper, a binary particle swarm optimization algorithm, called SwarmNAG, is presented for the minimization analysis of large-scale network ... See full document
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Survey on Task Allocation using Particle Swarm Optimization in Wireless Sensor Network
... multidimensional optimization problems, and approached through bio-inspired ...techniques. Particle swarm optimization (PSO) is a simple, effective and computationally efficient ... See full document
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Fusion global-local-topology particle swarm optimization for global optimization problems
... learning particle swarm optimization (CLPSO) which focused on avoiding the local optima by encouraging each particle to learn its behavior from other particles on different ... See full document
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Cross-layer Packet-dependant OFDM Scheduling Based on Proportional Fairness
... fish swarm algorithm, self-adaptive particle swarm optimization algorithm and cloud adaptive particle swarm optimization algorithm into sub-carrier allocation in ... See full document
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An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes
... Next, Chuang et al. proposed an improved binary PSO [8]. 100% classification ac- curacy in many data sets had been yielded by using the proposed method, but it util- ized a large number of selected genes (large ... See full document
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Deep Learning Methods and Optimization Algorithms in Bioinformatics Field: A Review
... of optimization algorithms can be used to assist deep learning in order to achieve better finding ...Several optimization algorithms such as particle swarm optimization, enhanced ... See full document
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A Review on Clustering Web data using PSO
... as particle in PSO algorithm and thus they are randomly initialized with random position and zero ...Each particle has its own fitness value and velocity to direct these ...each particle in the ... See full document
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Distribution Feeder Reconfiguration for Reliability Evaluation by Using Binary Particle Swarm Optimization
... each particle, (1) whether the reconfigured system is feasible in terms of network constraints, and (2) in case it is feasible, what is the reliability of the power supplied to the ... See full document
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II. MACHINES AND AGV S CHEDULING FOR ESOURCE -C ONSTRAINED FMS
... research, Binary Particle Swarm Optimization (BPSO) is used to optimize simultaneous machines and AGVs scheduling process with makespan minimization ... See full document
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EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things
... modified particle swarm optimization algorithm based on gravitational field interactions was proposed in ...of Particle Swarm Optimization algorithm with variable neighborhood ... See full document
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Novel Artificial Human Optimization Field Algorithms – The Beginning
... of particle and global worst location of all ...Human Optimization Field Concepts because there are Humans who try to be on safe side by moving away from local worst and global ...Safety Particle ... See full document
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Comparative Analysis of SPSO and PSO to Optimal Power Flow Solutions
... new optimization technique named as Sliced Particle Swarm Optimization (SPSO) introduces the slicing of search space into rectangular ... See full document
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INTEGRATION OF INVENTORY CONTROL AND SCHEDULING USING BINARY PARTICLE SWARM OPTIMIZATION ALGORITHM
... combinatorial optimization problem can be solved by using soft computing techniques in reasonable ...applied Binary Particle Swarm optimization (BPSO) technique to the Single item ... See full document
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A Self-Adaptive Discrete PSO Algorithm with Heterogeneous Parameter Values for Dynamic TSP
... DPSO discrete particle swarm optimization DTSP dynamic travelling salesman problem PACO population ant colony optimization PSO particle swarm optimization TSP travelling salesman problem[r] ... See full document
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A Novel PSO Algorithm Model Based on Population Migration Strategy and its Application
... of particle swarm is firstly introduced in particle swarm optimization (PSO) model to enhance inter-particle cooperation and information sharing capabilities, then combining the ... See full document
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Clustering chemical data set using particle swarm optimization based algorithm
... Kennedy, J. and Eberhart, R.C. (1997). A discrete binary version of the particle swarm algorithm, Systems, Man, and Cybernetics, 1997. 'Computational Cybernetics and Simulation. IEEE International ... 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
... Particle swarm optimization is a population based stochastic optimization technique developed by ...nonlinear optimization problems with continuous ... See full document
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Review of Integrated Thermal Energy Storage with Cogeneration System
... civilized swarm optimization approach is developed by embedding constriction based particle swarm with society-civilization algorithm to solve complex combined heat and power economic ... See full document
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Online Full Text
... an optimization technique for real-number optimization problems, many optimization problems are set in a space featuring discrete or qualitative distinctions between ...each particle is ... See full document
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