[PDF] Top 20 Computational methods of Gaussian Particle Swarm Optimization (GPSO) and Lagrange Multiplier on economic dispatch issues (case study on electrical system of Java-Bali IV area)
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Computational methods of Gaussian Particle Swarm Optimization (GPSO) and Lagrange Multiplier on economic dispatch issues (case study on electrical system of Java-Bali IV area)
... The economic dispatch problem, in this case for data generation power systems Java-Bali IV area, the calculation results obtained by the method of Lagrange multipliers compared to the data of real systems PLN corporation ... See full document
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DEVELOPMENT OF A MODIFIED PARTICLE SWARM OPTIMIZATION BASED CULTURAL ALGORITHM FOR SOLVING UNIVERSITY TIMETABLING PROBLEM
... and computational complexity in standard particle swarm optimization (SPSO) which makes it difficult to achieve a good ...best particle of cultural algorithm stored in the belief ... See full document
5
PID Controller Optimization for Rotational Inverted Pendulum System Using Particle Swarm Optimization and Differential Evolution Algorithms
... In this paper, three optimization approaches proposed including, PSO, constriction coefficient. PSO and DE algorithms for tuning of PID controller attached to the nonlinear model of Rotary Inverted Pendulum ... See full document
11
A Novel PSO Algorithm Model Based on Population Migration Strategy and its Application
... global optimization problem of the objective function having nonlinear or multipeaked ...global optimization algorithms were proposed mainly through the simulation of the evolution process of a group with ... See full document
8
Comparison of SVC and TCSC installation in transmission line with loss minimization and cost of installation via particle swarm optimization
... a computational intelligences technique namely: Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) for optimal location of Static Var Compensator (SVC) and Thyristor ... See full document
5
Particle Swarm Optimization: Technique, System and Challenges
... Particle Swarm Optimization (PSO) is a biologically inspired computational search and optimization method developed in 1995 by Eberhart and Kennedy based on the social behaviors of ... See full document
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A Review on Clustering Web data using PSO
... bio-inspired Swarm Intelligence algorithm called Particle Swarm Optimization (PSO) for optimized clustering ...stemming methods are ... See full document
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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 particle ... See full document
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A. Particle Swarm Optimization
... (MLR, STAMPA, PSO and SPSO), for fixed numbers of tag SNPs (2, 5, 10, 15, 20 and 25). The proposed method outperformed the average MLR and STANPA predictions for ENr123 and ENm010. In most cases the proposed method ... See full document
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Determining Rainwater Harvesting Storage Capacity with Particle Swarm Optimization
... was determined using the Rippl, residual mass curve, minimum flow and particle swarm 21.. optimization methods.[r] ... See full document
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MIXED EVOLUTIONARY TECHNIQUES TO REDUCE ORDER OF LINEAR INTERVAL SYSTEMS USING GENERLIZED ROUTH ARRAY
... and particle swarm optimization (PSO) technique have attracted considerable attention among various modern heuristic optimization ...GA optimization are employed for finding stable ... See full document
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Role of the Computational Intelligence in Drugs Discovery and Design: Introduction, Techniques and Software
... stochastic optimization method inspired by observation of swarms of insect, shoals of fish, bird flocking etc ...A swarm can be viewed as a group of agents cooperating to achieve some purposeful behavior ... See full document
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Theoretical Investigation of Combined Use of PSO, Tabu Search and Lagrangian Relaxation methods to solve the Unit Commitment Problem
... one optimization to the ...on particle swarm optimization (PSO) algorithm for solving the unit commitment ...of particle swarm: binary particle swarm ... See full document
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Comparative Analysis of SPSO and PSO to Optimal Power Flow Solutions
... two optimization techniques Particle Swarm Optimization (PSO) and Sliced Particle Swarm Optimization (SPSO) are used for solving Optimal Power Flow (OPF) problem for ... See full document
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Parallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform
... variable number of iteration, we set predefined optimum value for all benchmark test functions, and maximum speedup were 10.9, 62.91, and 27.63 for TPSO, APSO, and ALC-PSO algorithms, respectively. In fixed number of ... See full document
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Vol 11, No 1 (2015)
... a computational intelligence approach, Particle Swarm Optimization technique, to find the optimized parameters for the engagement measurement ... See full document
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Empirical modeling of hydrate formation prediction in deepwater pipelines
... The objective of the present research is to develop a gas hydrate formation prediction model that incorporates particle swarm optimization (PSO) and genetic algorithm (GA) with Gaussian ... See full document
5
A comprehensive review of swarm optimization algorithms
... various Swarm Intelligence (SI) based approaches and aimed to provide a comparison among the well-known SI-based ...of methods including Genetic algorithm (GA), Ant Colony Optimization (ACO), ... See full document
37
Introduction To Swarm Intelligence And Its Application In Optimisation
... • Computational Swarm Intelligence Paradigms • Optimization Problems and Algorithm Classes • Formal Definitions of Optimization Problem Classes Topic 5: Using Particle Swarm Optimization[r] ... See full document
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Particle Swarm Optimization for the Optimal Wind –Thermal Coordination
... solution methods to obtain the solution of Economic Dispatch problem using Particle swarm optimization is carried out successfully for coordinated thermal and wind power ... See full document
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