modified particle swarm optimization
A Modified Particle Swarm Optimization Algorithm
... a modified particle swarm optimization algorithm is ...every particle chooses its inertial factor according to the approaching degree between the fitness of itself and the optimal ...
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DEVELOPMENT OF A MODIFIED PARTICLE SWARM OPTIMIZATION BASED CULTURAL ALGORITHM FOR SOLVING UNIVERSITY TIMETABLING PROBLEM
... a Modified Particle Swarm Optimization based Cultural Algorithm which is characterized with low computational complexity and high convergence speed was developed for solving university lecture ...
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A Modified Particle Swarm Optimization Algorithm for Reliability Redundancy Optimization Problem
... a modified particle swarm optimization (MPSO) algorithm is proposed to solve the reliability redundancy optimization ...each particle is generated by using difference ...
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Image classification technique using modified particle swarm optimization
... In addition to that, each image’s colour feature is represented by a colour histogram in the database. Basically, there are five types of histograms tested in the proposed system. One is the RGB colour histogram and the ...
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Multi objective Network Reconfiguration of Distribution systems with Distributed Generators
... on modified particle swarm optimization (MPSO) and modified discrete particle swarm optimization (MDPSO) has been successfully employed to solve the multi objective ...
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Removal of Speckle Noise in SAR image using Curvelet Transform with Optimization
... In this paper, it is explained about the removal of speckle noise present in Synthetic Aperture Radar (SAR) images using the Curvelet Transform and the results are optimized with Firefly Algorithm(FA). In image ...
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EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things
... A modified particle swarm optimization algorithm based on gravitational field interactions was proposed in ...of Particle Swarm Optimization algorithm with variable ...
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Study on the optimization algorithm of sediment particle Imshanage
... sediment particle image is the main bottleneck restricting river sediment image segmentation algorithm to ...basic particle swarm optimization (PSO) algorithm, a modified ...
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MODELING OF BROADBAND LIGHT SOURCE FOR OPTICAL NETWORK APPLICATIONS USING FIBER NON LINEAR EFFECT
... hybrid optimization algorithm to decrease the energy consumption, in which modified particle swarm optimization and simulated annealing are combined to find the optimal clusters based ...
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Moth Dolphin Optimization Algorithm: A Nature Inspired Technique
... an optimization algorithm which uses the exploration as well as exploitation search to achieve the global ...moth-flame optimization algorithm, modified particle swarm ...
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Optimal Design of Single-Phase Induction Motor Using MPSO and FEM
... (GA), Particle Swarm Optimization (PSO) and Modified Particle Swarm Optimization (MPSO), a Single Phase Induction Motor (SPIM) was designed with the maximum ...
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Congestion management optimization in electric transmission system
... re-dispatch optimization) problem is solved using a modified particle swarm optimization (PSO) algorithm which accounts for start up as well as shut down times, and the manoeuvrability ...
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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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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 ...
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A Modified Discreet Particle Swarm Optimization for a Multi-level Emergency Supplies Distribution Network
... From the sub-graph (b) in Figure 3, it is also seen that the particle trajectory of the group (b) is more dispersed than group (a). Group (c) only has the inertia weight, without both cognitive and social sharing ...
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DEVELOPMENT AND APPLICATION OF A STAGE GATE PROCESS TO REDUCE THE UNERLYING RISKS OF IT SERVICE PROJECTS
... Economical optimization is an attempt to minimize the cost of power generation ...of Modified Improved Particle Swarm Optimization (MIPSO) that are compared with the Lagrange method and ...
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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 ...
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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] ...
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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 ...
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A Review on Clustering Web data using PSO
... There is a tremendous proliferation in the amount of information available on the largest shared information source, the World Wide Web. Due to its wide distribution, openness and highly dynamic data, the resources on ...
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