new particle swarm optimization
A New Shuffled Sub-swarm Particle Swarm Optimization Algorithm for Speech Enhancement
... In Section II, we presented θ-PSO and SSPSO as two optimizations techniques. The major drawback of θ-PSO is that it may easily stick in local minima, when handling some complex or multi-mode functions. On the other hand, ...
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EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things
... hybrid Particle Swarm Optimization – Variable Neighborhood Search algorithm for Constrained Shortest Path ...A New Hybrid MGBPSO-GSA Variant for Improv- ing Function Optimization ...
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Comparative Analysis of SPSO and PSO to Optimal Power Flow Solutions
... A new optimization technique named as Sliced Particle Swarm Optimization (SPSO) introduces the slicing of search space into rectangular ...
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A. Binary Particle Swarm Optimization
... In recent years, different evolutionary algorithms have been developed for feature selection. In this paper, a new feature selection method based on chaotic binary particle swarm optimization ...
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Novel Artificial Human Optimization Field Algorithms – The Beginning
... Human Optimization (AHO) Field Algorithms can be created from scratch or by adding the concept of Artificial Humans into other existing Optimization ...Algorithms. Particle Swarm ...
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Cross-layer Packet-dependant OFDM Scheduling Based on Proportional Fairness
... a new packet-dependant proportional fairness power allocation pattern based on the sum of weight capacity and the packet’s priority in users’ queues, and proposes 4 new cross-layer packet-dependant OFDM ...
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Hybridization of Evolutionary Computation Techniques for Job Scheduling Problem
... an optimization algorithm which is inspired by social behaviour of bird flocking and fish ...continuous optimization problems. Crossover and mutation of the particle are modified due to the discrete ...
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A. Particle Swarm Optimization
... a new method that combining strategy particle swarm optimization (SPSO) and Linkage Disequilibrium (LD) to select highly correlated ...
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MFS PSO: A Modified PSO Method for Optimizing Gene Selection
... Feature selection is an important technique for identifying informative genes in microarray datasets. In order to select small subset of informative genes from the large datasets various evolutionary methods have been ...
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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 ...of new global optimization algorithms were proposed mainly through the simulation of the evolution process of ...
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PID Controller Optimization for Rotational Inverted Pendulum System Using Particle Swarm Optimization and Differential Evolution Algorithms
... called Particle Swarm Optimization (PSO) algorithm. PSO is a new meta-heuristic algorithm which is inspired by structure of a social system (Kennedy et ...
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Ensemble learning particle swarm optimization for real time UWB indoor localization
... a particle swarm optimization algorithm composed of three variants of PSO under super best ...a particle learns not only from its own experience and its neighbors’ experience, but also from ...
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Fusion global-local-topology particle swarm optimization for global optimization problems
... fuzzy particle swarm optimization (AFPSO) [19] was proposed to utilize fuzzy inferences for adjusting acceleration ...adaptive particle swarm optimization (APSO) [18] using a ...
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Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution
... This problem can be solved with the help of today's emerging technology, which is implementing methods that can overcome the problem of uncertainty. There are several methods to solve uncertainty problems, one of which ...
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Hybrid Swarm Algorithm for Multiobjective Optimal Power Flow Problem
... of new developed quadratic load flow and its demerit is that it gets trapped in local opti- ...As particle swarm optimization is improved [15], the particles avoid being trapped in local ...
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MODELING OF BROADBAND LIGHT SOURCE FOR OPTICAL NETWORK APPLICATIONS USING FIBER NON LINEAR EFFECT
... a new hybrid optimization algorithm to decrease the energy consumption, in which modified particle swarm optimization and simulated annealing are combined to find the optimal clusters ...
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Optimization Of Rate Of Penetration With Real Time Measurements Using Machine Learning And Meta-Heuristic Algorithm
... most optimization techniques would choose the constants that maximize ...ROP optimization rather than predicting ...previous optimization efforts in the oil and gas ...by particle swarm ...
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Applications of Particle Swarm Optimization
... changed for some generations, or value changed is smaller than a predefined number, the searching process is switched to gradient descending searching according to this heuristic knowledge. Similar to the APSO algorithm, ...
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Multilevel Thresholding Segmentation based on Otsu’s Method and Autonomous Groups Particle Swarm Optimization for Multispectral Image
... a new threshold is added ...evolutionary optimization methods that are widely used in overcoming optimization problems that have proven ...and particle swarm optimization ...in ...
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A Survey on Economic Load Dispatch Problem Using Particle Swarm Optimization Technique
... Numerous optimization technique, conventional and nonconventional have been used for decision support of different kinds of real world problems ranging from short term generation scheduling to long term ...
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