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[PDF] Top 20 Performance Evaluation of PSO based optimizat...

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Performance Evaluation of PSO based optimizat...

Performance Evaluation of PSO based optimizat...

... is based on changing dynamically and with more efficiency the cluster head election ...is based on DEEC scheme, where all nodes use the initial and residual energy level to define the cluster ... See full document

9

Baldwin Effect based Particle Swarm Optimizer for Multimodal Optimization

Baldwin Effect based Particle Swarm Optimizer for Multimodal Optimization

... the performance of PSO greatly depends on its parameters and it often suffers from being trapped in local ...of PSO have been proposed for improving its ... See full document

6

Research of Teacher’s Performance Evaluation Model Based on AHP and Improved PSO BP Neural Network

Research of Teacher’s Performance Evaluation Model Based on AHP and Improved PSO BP Neural Network

... Comprehensive evaluation of teachers' performance is system engineering with heavy workload and cumbersome ...scientific evaluation, schools can not only objectively judge the ability of teachers to ... See full document

6

An efficient method based on ABC for optimal multilevel thresholding

An efficient method based on ABC for optimal multilevel thresholding

... is based on the foraging behavior of honeybees [ ...competitive performance may be obtained by using this algorithm compared to the other algorithms in many engineering ...The performance of the ABC ... See full document

13

Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection

Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection

... by PSO are more effective com- pared to the entire word embedding fea- ture set for entity ...significant performance gains over the baseline models as well as the other ex- isting ... See full document

12

IITP at EmoInt 2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features

IITP at EmoInt 2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features

... solution based on its own best position and the global best ...imitate. Evaluation step quan- tifies the goodness of each particle, whereas, the comparison step obtains the best solution by com- paring the ... See full document

7

Performance Evaluation of PSO, PSOCA and MPSOCA for Solving University Timetabling Problem

Performance Evaluation of PSO, PSOCA and MPSOCA for Solving University Timetabling Problem

... Different authors had worked on timetable using different methods to tackle the problems associating with timetabling. [A+14] used Genetic Algorithm, [CK10] used hybrid of genetic algorithms and fuzzy logic, [SS11] used ... See full document

6

Performance Enhancement of Routing Algorithm Based on PSO

Performance Enhancement of Routing Algorithm Based on PSO

... its performance through the following two ...in PSO flies in the D-dimensional problem space with a velocity dynamically adjusted according to the flying experiences of its individuals and their ... See full document

7

Comparative analysis of FACTS controllers by tuning employing GA and PSO

Comparative analysis of FACTS controllers by tuning employing GA and PSO

... domain based objective function which is solved by the Particle Swarm Optimization and Genetic Algorithm ...proposed PSO and GA based PSS is demonstrated on a SMIB power ...the PSO ... See full document

6

FACTS Controllers Tuning for Stability Improvement in Power System Using Soft Computing Technique

FACTS Controllers Tuning for Stability Improvement in Power System Using Soft Computing Technique

... domain based objective function which is solved by the Particle Swarm Optimization and Genetic Algorithm ...proposed PSO and GA based PSS is demonstrated on a SMIB power ...the PSO ... See full document

10

A Preliminary Performance Study on Nonlinear Regression Models using the Jaya Optimisation Algorithm

A Preliminary Performance Study on Nonlinear Regression Models using the Jaya Optimisation Algorithm

... Our performance evaluation of the Jaya optimisation al- gorithm was conducted in two ...the performance of Jaya using the RSS as an optimisation criterion for each of the regression ...the ... See full document

5

Performance Evaluation Of Magnetic Interpretation Techniques: Method Based On Characteristic Positions And Inversion Interpretation Techniques

Performance Evaluation Of Magnetic Interpretation Techniques: Method Based On Characteristic Positions And Inversion Interpretation Techniques

... Sengpiel and Siemon, 2000) have the advantage of yielding a much superior resolution for the given output parameter and the disadvantage that the output parameter may vary with the starting model, so this lack of ... See full document

13

PSO and PSO-BFO Based Tuning of PID Controller: A Comparative Evaluation

PSO and PSO-BFO Based Tuning of PID Controller: A Comparative Evaluation

... comparative performance of PSO and BF-PSO based PID controller is ...analyzed. PSO algorithm converges rapidly during the initial stages of a global search, but around global optimum, ... See full document

7

Performance Evaluation between GA versus PSO

Performance Evaluation between GA versus PSO

... [3]. Arnab Raha, Mrinal Kanti Naskar, Avishek Paul, Arpita Chakraborty, and Anupam Karmakar. (2013): "A Genetic Algorithm Inspired Load Balancing Protocol for Congestion Control in Wireless Sensor Networks using ... See full document

8

Multi-Objective Optimization of Solar Thermal Energy Storage Using Hybrid of Particle Swarm Optimization and Multiple Crossover and Mutation Operator

Multi-Objective Optimization of Solar Thermal Energy Storage Using Hybrid of Particle Swarm Optimization and Multiple Crossover and Mutation Operator

... (MO) based on hybrid of Particle Swarm Optimization (PSO) and multiple crossover and mutation operator is used for Pareto based optimization of solar ...of PSO and multiple crossover and ... See full document

10

Tuning of FOPID controller for meliorating the performance of the heating furnace using conventional tuning and optimization technique

Tuning of FOPID controller for meliorating the performance of the heating furnace using conventional tuning and optimization technique

... the performance of heating furnace, which is done by the tuning of the fractional order proportional integral derivative (FOPID) controller using various tuning techniques and the optimization ...the ... See full document

18

Digital Image Steganography using Particle Swarm Optimization with DCT and BPPCM
                 

Digital Image Steganography using Particle Swarm Optimization with DCT and BPPCM  

... (LSB) based Steganography and Discrete Cosine Transform (DCT) based ...LSB based Steganography insets the text message in lsb of digital ...DCT based Steganography embed the text message in ... See full document

5

An imperialist competitive algorithm for a bi-objective parallel machine scheduling problem with load balancing consideration   Pages 191-202
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An imperialist competitive algorithm for a bi-objective parallel machine scheduling problem with load balancing consideration Pages 191-202 Download PDF

... The performance of the proposed ICA (PICA) method has been examined using some randomly generated data and they have been compared with three alternative methods including particle swarm optimization (PSO), ... See full document

12

Evaluation of Financial Performance Analysis of  Commercial Bank of Ethiopia

Evaluation of Financial Performance Analysis of Commercial Bank of Ethiopia

... The evaluation of financial performance was the subject of how will a firm can use asset from its primary mode of business and generate ...and performance of most business organization, some of these ... See full document

8

Research of the Corporate Performance Evaluation Indicators Based on the  Stakeholder Theory

Research of the Corporate Performance Evaluation Indicators Based on the Stakeholder Theory

... corporate performance evaluation is primarily assessed through stakeholder wealth; the maximization of the corporate value is also measured based on the maximization of stakeholder ... See full document

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