Performance Comparison between Simple and Adam—Eve-Like Genetic Algorithms in Optimal PMU Placement Problem
Author:
Affiliation:
1. Golestan University,Department of Electrical Engineering,Gorgan,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10043829/10043862/10043948.pdf?arnumber=10043948
Reference14 articles.
1. Behavior Analysis of Random Power Graphs for Optimal PMU Placement in Smart Grids
2. Nature-Inspired Heuristics: Overview and Critique
3. Heuristic methods for evolutionary computation techniques
4. Choosing Mutation and Crossover Ratios for Genetic Algorithms—A Review with a New Dynamic Approach
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1. Analyzing Electrical Centrality Metrics for Optimal Placement of Microgrids and Renewable Sources;2024 11th Iranian Conference on Renewable Energy and Distribution Generation (ICREDG);2024-03-06
2. A Complex Network-based Approach for Designing of Wide Area Measurement Systems in Smart Grids using Adam-Eve Like Genetic Algorithm;International Journal of Engineering;2024
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