A Hybrid Genetic Algorithm and Gravitational Search Algorithm for Image Segmentation Using Multilevel Thresholding

2013 ◽  
pp. 707-714 ◽  
Author(s):  
Genyun Sun ◽  
Aizhu Zhang
Keyword(s):  
Genetic Algorithm ◽  
Image Segmentation ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Hybrid Genetic Algorithm ◽  
Multilevel Thresholding ◽  
Gravitational Search

Hybrid Genetic Algorithm-Gravitational Search Algorithm to Optimize Multi-Scale Load Dispatch

2021 ◽  
Vol 12 (3) ◽  
pp. 28-53
Author(s):  
D. Santra ◽  
A. Mukherjee ◽  
K. Sarker ◽  
S. Mondal
Keyword(s):  
Genetic Algorithm ◽  
Search Algorithm ◽  
Electrical Power ◽  
Gravitational Search Algorithm ◽  
Hybrid Genetic Algorithm ◽  
Optimum Result ◽  
Multi Scale ◽  
Gravitational Search ◽  
Power Generation Systems ◽  
First Time

Genetic algorithm (GA) and gravitational search algorithm (GSA) both have successfully been applied in solving ELD problems of electrical power generation systems. Each of these algorithms has their limitations and advantage. GA's global search and GSA's local search capability are their strong points while long execution period of GA and premature of convergence of GSA hinders the possibility of optimum result when applied separately in ELD problems. To mitigate these limitations, experiment is done for the first time by combining GA and GSA suitably and applying the hybrid in non-linear ELD problems of 6, 15, and 40 unit test systems. The paper reports the details of this study including comparative analysis considering similar hybrid algorithms. The result strongly attests the quality, consistency, and overall effectiveness of the GA-GSA hybrid in ELD problems.

Public assistance intensification of wind-integrated restructured endowment system using thyristor-controlled series compensator peerless location and gauging using the hybrid Genetic Algorithm-Gravitational Search Algorithm

2019 ◽  
pp. 002072091989420
Author(s):  
J Rajakumar ◽  
Sujatha Balaraman
Keyword(s):  
Genetic Algorithm ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Operating Cost ◽  
Hybrid Genetic Algorithm ◽  
Market Model ◽  
Wind Generator ◽  
Gravitational Search ◽  
Thyristor Controlled Series Compensator ◽  
Bus System

In a deregulated electricity market, it may at times become challenging to swift all the essential power which are obligatory to move along the transmission line due to congestion. This paper primly waltz up the finest allotment of thyristor-controlled series compensator in deregulated capacity setup with wind generator by considering the maximization of social welfare cost as objective function. In this work, hybrid market model has been considered and the hybrid algorithm is used as a tool, in which Gravitational Search Algorithm is used for attaining optimal location of thyristor-controlled series compensator as major issue, though Genetic Algorithm-based top-notch outflow of power minimizes operating cost after incorporating thyristor-controlled series compensator and Wind Generator as sub-optimization problem. The coherence of this prospective has been tested and analyzed on modified IEEE 14-bus system and modified IEEE 118-bus system at different loading conditions. The influences on the locational marginal pricing and system voltage have been also investigated in this work and the obtained results are compared with other globally accepted techniques reported in the literary texts.

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