[PDF] Top 20 ARTIFICIAL INTELLIGENCE AND PARTICLE SWARM OPTIMIZATION ALGORITHM FOR OPTIMIZATION PROBLEM IN MICROGRIDS

ARTIFICIAL INTELLIGENCE AND PARTICLE SWARM OPTIMIZATION ALGORITHM FOR OPTIMIZATION PROBLEM IN MICROGRIDS

... the artificial intelligence (AI) applications, the social term is widely used and its adjectives like behavior, orientation, interest, or need of each other play a vital role in establishing the idea of ... See full document

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Comparison of Evolutionary Optimization Techniques for Unconstrained

... i.e. Particle swarm optimization(PSO), Artificial Bee Colony algorithm(ABC), Shuffled frog leaping algorithm(SFL) and Imperialistic competitive algorithm (ICA) for solving ... See full document

12

Scheduling Problem of Shared Car Based on Fish Swarm Algorithm

... swarm intelligence. The algorithm establishes artificial fish model according to the biological instinct of the fish, that is, foraging, clustering and rear end ...the artificial fish, ... See full document

5

Research Progress of Intelligent Optimization Algorithm in Big Data Background

... The artificial fish swarm optimization algorithm is an intelligent optimization algorithm proposed by ...partial optimization of the individual. The biological principle ... See full document

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Optimizing blasting’s air overpressure prediction model using swarm intelligence

... Abstract. Air overpressure (AOp) resulting from blasting can cause damage and nuisance to nearby civilians. Thus, it is important to be able to predict AOp accurately. In this study, 8 different Artificial Neural ... See full document

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Multi-Area Economic Dispatch Performance Using Swarm Intelligence Technique Considering Voltage Stability

... are Artificial Immune System (AIS), Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) ...proposed optimization algorithms are only tested on the single-area power ... See full document

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Application of Soft Computing Methods for Economic Load Dispatch Problems

... dispatch problem is an optimization problem where objective function is highly non linear, non-convex, non differentiable and may have multiple local ...classical optimization methods may not ... See full document

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A COMPARATIVE STUDY OF PARTICLE SWARM OPTIMIZATION AND GRAVITATIONAL SEARCH ALGORITHM IN POULTRY HOUSE TEMPERATURE CONTROL SYSTEM

... search algorithm (GSA) is a simple well known meta-heuristic search algorithm based on the law of gravity and the law of motion (Rashedi ...a swarm intelligence type algorithm that is ... See full document

18

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 ...This algorithm solved the problem by moving the candidate solutions by ... See full document

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Parallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform

... Particle Swarm Optimization (PSO) has been successfully applied to a lot of difficult and complex optimization problems such as artificial neural network training, function ... See full document

9

Novel Artificial Human Optimization Field Algorithms – The Beginning

... New Artificial Human Optimization (AHO) Field Algorithms can be created from scratch or by adding the concept of Artificial Humans into other existing Optimization ...Algorithms. ... See full document

16

An Analytical Study of the Remote Sensing Image Classification Using Swarm Intelligence Techniques

... “Swarm Intelligence”. Swarm Intelligence (SI), which is an artificial intelligence (AI) discipline, is concerned with the design of intelligent multi-agent systems by taking ... See full document

9

Cross-layer Packet-dependant OFDM Scheduling Based on Proportional Fairness

... Intelligence algorithm is a new evolutionary computation technique which includes Hopfield neural network algorithm, game theory, particle swarm algorithm, artificial fish ... See full document

13

THE EFFECTS OF TECHNOLOGY, ORGANISATIONAL, BEHAVIOURAL FACTORS TOWARDS UTILIZATION OF E GOVERNMENT ADOPTION MODEL BY MODERATING CULTURAL FACTORS

... is artificial intelligence (AI) ...[24] Artificial neural network (ANN) system is utilized for ...Various optimization techniques have used to increase the efficiency of designs by choosing ... See full document

12

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 ...Genetic algorithm (GA), Ant Colony Optimization (ACO), Particle ... See full document

37

A REVIEW OF SWARM INTELLIGENCE METAHEURISTICS

... Particle swarm optimization algorithm was coined in 1995 by Kennedy and ...continuous optimization problems but some variants are also able to solve discrete problems ...bird ... See full document

5

An Analysis of Foraging and Echolocation Behavior of Swarm Intelligence Algorithms in Optimization: ACO, BCO and BA

... of Intelligence Science as of late risen as a bunch of nature driven, population based algorithm that are equipped for delivering minimal effort, quick, and strong answers for some complex ...issues. ... See full document

27

An Enhanced Cooperative Harmony Search Algorithm for Solving Optimization Problems

... and artificial bee colony algorithm for global optimization problems have introduced the artificial bee colony algorithm is a new swarm intelligence technique inspired by ... See full document

9

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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SENSOR DEPLOYMENT USING PARTICLE SWARM OPTIMIZATION

... coverage problem. It is a unique problem and in maximizing coverage, the sensors need to be placed in a position such that the sensing capability of the network is fully utilized to ensure high quality of ... See full document

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