Genetic Algorithms

This collection encompasses a diverse range of applications of optimization techniques based on genetic algorithms. The documents explore their utilization in various fields including renewable energy systems, automatic control for complex dynamic systems, gait recognition, information retrieval, and healthcare predictions. Key themes include performance enhancement, feature selection, network efficiency, and adapting genetic algorithms for specific challenges across multiple domains. The studies collectively illustrate the significant role of genetic algorithms in designing efficient and robust solutions to complex problems.