[PDF] Top 20 Evaluation of the Performance of Ant Colony Optimization over Particle Swarm Optimization
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Evaluation of the Performance of Ant Colony Optimization over Particle Swarm Optimization
... each particle is updated by following two “best” ...the particle swarm optimizer is the best value, obtained so far by any particle in the ...When particle takes part of the population ... See full document
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IJCSMC, Vol. 4, Issue. 5, May 2015, pg.271 – 277 REVIEW ARTICLE A Review on Traffic Route Optimizing by Using Different Swarm Intelligence Algorithm
... the performance of the traffic network by dynamic traffic ...between Ant Colony Optimization ( ACO), Bacterial Foraging Optimization (BFO) and Particle swarm ... See full document
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Current Reduction for Power Assisted Steering Control in Electric Vehicle using Soft Computing Techniques
... optimum performance with the lowest possible current draws from the ...the swarm intelligence algorithm namely Particle Swarm Optimization (PSO) Modified Particle Swarm ... See full document
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Comparative Analysis of Clustering by using Optimization Algorithms
... the performance to compare and analyze the ...using particle swarm optimization is more as compare to other optimization algorithms named as genetic algorithm and ant ... See full document
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Machine Vision Optimization using Nature-Inspired Algorithms to Model Sunagoke Moss Water Status
... The performance of machine vision affects the prediction process of plant water ...Therefore optimization is needed to improve the performance of machine ...the performance of machine vision ... See full document
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Evaluation on GA based Model for solving JSSP
... ABSTRACT The optimization techniques such as Genetic algorithm GA, Particle Swarm Optimization PSO, Ant Colony Optimization ACO, Simulated Annealing SA, etc., were commonly used in solvi[r] ... See full document
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A comprehensive review of swarm optimization algorithms
... overall performance of various Swarm Intelligence (SI) based approaches and aimed to provide a comparison among the well-known SI-based ...(GA), Ant Colony Optimization (ACO), ... See full document
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Web Log Clustering using FCM and Swarm Intelligence Based Algorithms
... Data clustering is the process of finding similarities in data and putting similar data into groups and dissimilar data items into another group. Clustering is helpful whenever there is huge amount of data. Several ... See full document
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Validation of Hybridized Particle Swarm Optimization (PSO) Algorithm with the Pheromone Mechanism of Ant Colony Optimization (ACO) using Standard Benchmark Function
... conventional Particle Swarm Optimization (PSO) algorithm with the pheromone mechanism of Ant Colony Optimization (ACO) to attain faster convergence on a feasible standard PSO ... See full document
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Model Analysis on Job Shop Scheduling in Automobile Industry using Ant Colony Optimization and Particle Swarm Optimization
... Particle Swarm Optimization is an optimization algorithm which uses iterations to improve the ...formulae over the candidate solution’s velocity and ...name Particle Swarm ... See full document
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Role of the Computational Intelligence in Drugs Discovery and Design: Introduction, Techniques and Software
... lead optimization and pre-clinical in vitro & in vivo ...as Particle Swarm Optimization, Ant Colony Optimization, Artificial Neural Network, Fuzzy logic, Genetic ... See full document
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Social media and efficient computer infrastructure in smart city
... including particle swarm optimization PSO, ant colony optimization ACO, an algorithm of bee colony ABC, and differential evolution DE have been described due to smart city ... See full document
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The Case Study of Swarm Intelligence Optimization Algorithm Performance
... Ant Colony Optimization (ACO) is the best example of how studies aimed at understanding and modeling the behavior of ants and other social insects can provide inspiration for the development of ... See full document
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Optimization of Fairhurst Cook Model for 2 D Wing Cracks Using Ant Colony Optimization (ACO), Particle Swarm Intelligence (PSO), and Genetic Algorithm (GA)
... Ant colony optimization (ACO) is a population-based metaheuristic algorithm which can be used to find approximate solutions to hard and discrete optimiza- tion ...some ant species searching ... See full document
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Fire Fly and Artificial Bees Colony Algorithm for Synthesis of Scanned and Broadside Linear Array Antenna
... bees colony (ABC) optimization for the design of linear array of isotropic ...for optimization of antenna problems is examined by all six sets of antenna ...bees colony optimization ... See full document
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Comparative Analysis of ACO and PSO over Task Scheduling
... population over the internet, and more and more people depending upon the cloud service to store, handle and schedule the data, task scheduling has become one of the most discussed ...of Ant Colony ... See full document
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Natural Computing Applied to the Underground System: a Synergistic Approach for Smart Cities
... a swarm of individuals that operate among a ...a swarm, atomic work element of the Natural Computing ...Algorithms, Ant Colony Optimization, Particle Swarm ... See full document
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Comparative Analysis of Meta-Heuristic Algorithms based on their Application Areas in SRGM
... every particle have the knowledge about the best evaluation of the group and further two other variations of LBEST were evaluated in which one with a neighbourhood of 6 and other in ...the particle ... See full document
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Hybrid Swarm Algorithm for Multiobjective Optimal Power Flow Problem
... Optimal power flow problem plays a major role in the operation and planning of power systems. It assists in acquiring the optimized solution for the optimal power flow problem. It consists of several objective functions ... See full document
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Population based meta-heuristic techniques for solving optimization problems: A selective survey
... — Optimization is necessary for finding appropriate solutions to a range of real life ...algorithms, ant colony optimization, particle swarm optimization and artificial ... See full document
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