Swarm Optimization Algorithm-2020


Particle swarm optimization (PSO) algorithm is a stochastic optimization technique based on swarm, which was proposed by Eberhart and Kennedy (1995) and Kennedy and Eberhart (1995). PSO algorithm simulates animal’s social behavior, including insects, herds, birds and fishes
The most common term for methods that employ stochastic schemes to produce search strategies is metaheuristics. In general, there not exist strict classifications of these methods. However, several kinds of algorithms have been coined depending on several criteria such

Particle Swarm Optimization for Micro-Grid Power Management and Load Scheduling
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ABSTRACT A smart power management strategy is needed to economically manage local production and consumption while maintaining the balance between supply and demand. Finding the best-distributed generators set-points and the best city demand scheduling can

Research on Particle Swarm Optimization Algorithm Based on Quantum Computing Technology
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In view of the shortcomings of particle swarm optimization such as premature convergence to local optimization, particle swarm optimization algorithm based on quantum gate and particle swarm optimization algorithm based on quantum behavior are studied in this paper

# EarthquakeAdvisory: Exploring Discourse between Government Officials, News Media, and Social Media during the 2016 Bombay Beach Swarm
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Communicating probabilities of natural hazards to varied audiences is a notoriously difficult task. Many of these challenges were encountered during the 2016 Bombay Beach, California, swarm of~ 100 2≤ M≤ 4.3 earthquakes, which began on 26 September 2016

Hybrid quantum particle swarm optimization algorithm and its application
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Dear editor, Quantum-behaved particle swarm optimization (QPSO) is an evolutionary algorithm with quantum behavior. It can be used to solve optimization problems by establishing a potential well at the local attraction point to influence the location of particles

Optimal unit commitment of a power plant using particle swarm optimization approach
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Economic load dispatch among generating units is very important for any power plant. In this work, the economic load dispatch was made at Egbin Thermal Power plant supplying a total load of 600MW using six generating units. In carrying out this study, transmission losses

Swarm Intelligent Hyperdization Biometric
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At the last decade the importance of biometrics has been clearly configured due to its important in the daily life that starts from civil applications with security and recently terrorizing. A Footprint recognition is one of the effective personal identifications based on

A TRANSFORMED SALP SWARM ALGORITHM ON CONTAINER DEPLOYMENT PROBLEM
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Salp Swarm Algorithm (SSA) is a meta-heuristic algorithm for solving single-objective optimization problems with satisfying performance in the exploration phase. However, the accuracy in the exploitation phase still remains a problem to be solved. The paper presented

Feature Selection Using Combined Particle Swarm Optimization and Artificial Neural Network Approach
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This paper deals with identification of the most influencing input attributes related to the accuracy of the prediction model. It is assumed that the prediction model be represented by any machine learning-based models, including artificial neural networks

A PARTICLE SWARM OPTIMIZATION BASED LOAD FREQUENCY CONTROL FOR A DEREGULATED POWER SYSTEM
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In this paper, Particle swarm optimization tuned Proportional Integral controller is proposed for Load Frequency Control (LFC) of a deregulated power system. As the electric power industry is currently in transition from vertically integrated utilities to a deregulated power

Swarm Intelligence Based Detection of Citrus Plant Diseases and Their Severity Level
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The quality of food production is reduced directly through plant diseases. The citrus plants are widely grown fruits worldwide. Each year, a large amount of waste is produced by citrus manufacturers, who annually destroy 50 percent of the citrus peel due to various plant

Modified Particle Swarm Optimization approach for Optimal Power Flows with Security Constraints for Indian Practical 75 bus system
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This paper proposes novel particle swarm optimization algorithm for solving optimal power flows with security constraints (line flows and bus voltages). This method uses variable constriction factor approach for the classical Particle Swarm Optimization technique. The

OPTIMAL DESIGN OF ONSHORE WIND FARM COLLECTOR SYSTEM USING PARTICLE SWARM OPTIMIZATION AND PRIMS ALGORITHM
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Designing of wind farm collector system (WFCS) which aggregates and transmits generated electric power by wind turbines (WTs) into the main grid has become more important with increasing size and capacity of wind farms. This paper presents a heuristic algorithm based

OPTIMAL SIZE LOCATION OF DISTRIBUTED GENERATION USING BIRD SWARM OPTIMISATION WITH CUCKOO SEARCH SORTING ALGORITHM
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In this paper a natural habitat inspired metaheuristic Bird Swarm Optimization algorithm is implemented with improvisations made for the development of solution for the optimal allocations and optimal sizeprediction problem of Dispersed generation/Distributed


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