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Novel Variants of Grasshopper Optimization Algorithm to Solve Numerical Problems and Demand Side Management in Smart Grids by Azzahraa A. Badr; Mahmoud M. Saafan; Mohamed M. Abdelsalam; Amira Y. Haikal is a Computer Science article available to read on EtoBox.

What is Novel Variants of Grasshopper Optimization Algorithm to Solve Numerical Problems and Demand Side Management in Smart Grids about?

The grasshopper optimization algorithm (GOA), which is one of the recent metaheuristic optimization algorithms, mimics the natural movements of grasshoppers in swarms seeking food sources. Some deficiencies have existed in the original GOA such as slow convergence speed, and the original GOA may get quickly stuck into local solutions facing some complex. For tackling these drawbacks of the original GOA, enhanced versions of GOA have been proposed to deal with the optimization problems more effectively. In the current study, two strategies have been integrated into GOA: the grouping mechanism of non-linear 'c' parameters and the mutation mechanism. Moreover, two different groups of non-linear 'c' parameters have been suggested in the grouping mechanism. Incorporating the grouping mechanism into GOA can update the grasshoppers' positions within a limited local area, whereas the diversity of agents can be improved by integrating the mutation mechanism. Eight Novel-Variants GOA (NVGOAs) are proposed to address the deficiencies of the original GOA. Where two variants NVGOA1\_1 and NVGOA2\_1 represent the impact of each proposed group of 'c' parameters. Another two variants NVGOA3 and NV

Who reads Novel Variants of Grasshopper Optimization Algorithm to Solve Numerical Problems and Demand Side Management in Smart Grids?

Author

Azzahraa A. Badr; Mahmoud M. Saafan; Mohamed M. Abdelsalam; Amira Y. Haikal

Publisher

Springer Science and Business Media LLC

Published

2023

Language

EN

Field

Computer Science (Physical Sciences)