Dynamic Feasible Region Genetic Algorithm for Multi-Reservoir Optimization | Smart Water Resource Management
1. Introduction Efficient operation of multi-reservoir systems plays a crucial role in water resource sustainability, flood mitigation, and energy production. Traditional optimization methods often struggle with complex constraints and dynamic environmental conditions. This research introduces a Dynamic Feasible Region Genetic Algorithm (DFR-GA), which enhances optimization performance by adapting feasible solution spaces during iterations. The approach allows better handling of nonlinear constraints and improves decision-making in reservoir operations, making it highly relevant for modern water management systems facing climate variability and increasing demand. 2. Genetic Algorithm Framework for Reservoir Optimization This topic explores the application of genetic algorithms in solving complex reservoir operation problems. It highlights how evolutionary processes such as selection, crossover, and mutation contribute to finding near-optimal solutions in large search spaces. T...