Cooperative Coevolutionary Genetic Algorithm For Water Resources Optimization Model And Its Application

Abstract

To solve the complexity of multi-public sources water allocation, the optimization model using the multi-objective function and multi-constrained conditions of the cooperative coevolution genetic algorithm (CCGA) was proposed for water resources management. The objective function was the highest benefit to both economy and society, while the constraints included available water supply amount, water demand, water supply projects capacity, ecology protection and non-negativity. Water demand ratio parameters for each public source were proposed which could be optimized by CCGA. The case study in Suibianhe Region showed that the proposed model was capable of allocating water resource efficiently and can provide useful information for water resources integrated management.