Title :
The multi-objective water resources optimization scheduling based on chaos genetic algorithm
Author :
Zhao Xiao-qiang ; He Zhi-e
Author_Institution :
Coll. of Electr. & Inf. Eng., Lanzhou Univ. of Technol., Lanzhou, China
Abstract :
Scheduling of water resources is the rational utilization of water resources and the main way and effective means to solve the shortage of water resources, it has some characteristics of more users, more water, multi-level and multi-objective. Chaos genetic algorithm (CGA) can be solved in the process of water resources scheduling problem such as slow convergence speed, easy to fall into local optimization, but there are some limitations in the practical application. In this paper, by using multi-objective decision scheduling, real-time and regularity of rainfall will be combined with chaos genetic algorithm (GA), a more reasonable adjustment of water supply, water resources allocation optimization. The simulation results show that multi-objective decision-making based on chaos genetic algorithm can better satisfy user needs, stick to the waste water, improve the satisfaction degree of the water, more comprehensive benefits.
Keywords :
convergence; decision making; genetic algorithms; scheduling; water resources; water supply; CGA; chaos genetic algorithm; convergence speed; local optimization; multiobjective decision scheduling; multiobjective decision-making; multiobjective water resource optimization scheduling; water resource allocation optimization; water resource scheduling problem; water resource utilization; water supply; Chaos; Genetic algorithms; Job shop scheduling; Logistics; Optimization; Water resources; CGA; multi-objective decision; scheduling model; water resources optimization;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162718