Intelligent optimization design of the water supply network under combination conditions.

Based on genetic algorithm, consider all of the maximum hour, the emergency hour and the fire hour together for the first time, we build and realize optimal model for pipe size combination of water supply network by C++ platform. Proved by examples that compared with traditional single loading case optimization, checked with multiple loading cases after single loading case optimization, the computational efficiency is increased obviously. Especially for expansion and reorganization of the large-scale and complex water supply network, economic benefit is raised obviously too. [ABSTRACT FROM AUTHOR]