A novel approach for economic dispatch of hydrothermal system via gravitational search algorithm

2014 ◽  
Vol 247 ◽  
pp. 535-546 ◽  
Author(s):  
Xiaohui Yuan ◽  
Bin Ji ◽  
Zhijun Chen ◽  
Zhihuan Chen
Keyword(s):  
Hydrothermal System ◽  
Search Algorithm ◽  
Economic Dispatch ◽  
Gravitational Search Algorithm ◽  
Novel Approach ◽  
Gravitational Search

Operation management of daily economic dispatch using novel hybrid particle swarm optimization and gravitational search algorithm with hybrid mutation strategy

2017 ◽  
Vol 31 (19-21) ◽  
pp. 1740099 ◽  
Author(s):  
Yan Wang ◽  
Song Huang ◽  
Zhicheng Ji
Keyword(s):  
Particle Swarm Optimization ◽  
Search Algorithm ◽  
Economic Dispatch ◽  
Gravitational Search Algorithm ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Hybrid Particle ◽  
Hybrid Particle Swarm Optimization ◽  
Mutation Strategy ◽  
Gravitational Search

This paper presents a hybrid particle swarm optimization and gravitational search algorithm based on hybrid mutation strategy (HGSAPSO-M) to optimize economic dispatch (ED) including distributed generations (DGs) considering market-based energy pricing. A daily ED model was formulated and a hybrid mutation strategy was adopted in HGSAPSO-M. The hybrid mutation strategy includes two mutation operators, chaotic mutation, Gaussian mutation. The proposed algorithm was tested on IEEE-33 bus and results show that the approach is effective for this problem.

scholarly journals Improvement Method of Fuzzy Geographically Weighted Clustering using Gravitational Search Algorithm

2018 ◽  
Vol 11 (1) ◽  
pp. 10
Author(s):  
Setia Pramana ◽  
Imam Habib Pamungkas
Keyword(s):  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Optimal Solution ◽  
R Package ◽  
Weighted Clustering ◽  
Novel Approach ◽  
Local Optimal Solution ◽  
Improvement Method ◽  
Gravitational Search ◽  
Cluster Quality

Geo-demographic analysis (GDA) is a useful method to analyze information based on location, utilizing several spatial analysis explicitly. One of the most efficient and commonly used method is Fuzzy Geographically Weighted Clustering (FGWC).  However, it has a limitation in obtaining local optimal solution in the centroid initialization. A novel approach integrating Gravitational Search Algorithm (GSA) with FGWC is proposed to obtain global optimal solution leading to better cluster quality. Several cluster validity indexes are used to compare the proposed methods with the FGWC using other optimization approaches. The study shows that the hybrid method FGWC-GSA provides better cluster quality. Furthermore, the method has been implemented in R package spatialClust.

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