Multi-Objective Optimization Model for the Allocation of Water Resources in Arid Regions Based on the Maximization of Socioeconomic Efficiency

For the three big problems of water resources supply and demand contradiction, protection of groundwater environment and sediment over long distances in Xiaokai river irrigation area, the model of water utilization benefit maximization, groundwater level optimal control and the goal of sediment transport effect optimization model are established, and coupled into a multi-objective optimization model. The model is solved by using The delaminating sequence method, obtained the rational allocation plan of water resources in water years, and analyzing the rationality of the plan. The results show that, the scheme comprehensively considers the economic and environmental issues and has great reference value to promote sustainable development of irrigation area.

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Notice of Retraction: Study on Multi-Objective Optimization Model of Industrial Structure Based on Water Resources and Its Application

2009 International Conference on Information Engineering and Computer Science ◽

10.1109/iciecs.2009.5365308 ◽

2009 ◽

Author(s):

Dayong Li ◽

Jigan Wang ◽

Zengchuan Dong ◽

Geya Bian

Keyword(s):

Water Resources ◽

Optimization Model ◽

Industrial Structure ◽

Multi Objective Optimization ◽

Multi Objective

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A New Multi-Objective Optimization Model of Water Resources Considering Fairness and Water Shortage Risk

Water ◽

10.3390/w13192648 ◽

2021 ◽

Vol 13 (19) ◽

pp. 2648

Author(s):

Xiaoyu Tang ◽

Ying He ◽

Peng Qi ◽

Zehua Chang ◽

Ming Jiang ◽

...

Keyword(s):

Water Resources ◽

Optimization Model ◽

Optimal Allocation ◽

Risk Index ◽

Water Shortage ◽

Economic Benefits ◽

Selection Strategy ◽

Multi Objective Optimization ◽

Structural Water ◽

Multi Objective

Assessing the fairness of water resource allocation and structural water shortage risks is an urgent problem that needs to be solved for the optimal allocation of water resources. In this study, we established a new multi-objective optimization model of water resources based on structural water shortage risks and fairness. We propose an improved NSGA-III based on the reference point selection strategy (ARNSGA-III) to solve the optimization model. The superiority of this method was proven by comparing it with three other methods, namely, NSGA-III, MOSPO, and MOEA/D. The model was applied to optimize the allocation of water resources in Wusu City in China. The results show that the new multi-objective optimization model provides reasonable and feasible solutions for solving water conflicts. The convergence and stability of ARNSGA-III are better than those of the other three algorithms. Allocation schemes of water resources for Wusu City in normal years, dry years, and extremely dry years are proposed. In normal years, the structural water shortage risk index is reduced by 50.1%, economic benefits increased by 0.2%, and fairness is reduced by 60.5%. This study can provide new ideas for solving the multi-objective optimization of regional water resources.

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Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model

Sustainability ◽

10.3390/su13041929 ◽

2021 ◽

Vol 13 (4) ◽

pp. 1929

Author(s):

Yongmao Xiao ◽

Wei Yan ◽

Ruping Wang ◽

Zhigang Jiang ◽

Ying Liu

Keyword(s):

Optimization Model ◽

Optimization Design ◽

Design Method ◽

Low Cost ◽

Route Optimization ◽

Low Carbon ◽

Multi Objective Optimization ◽

Multi Objective ◽

Blank Design ◽

Process Route

The optimization of blank design is the key to the implementation of a green innovation strategy. The process of blank design determines more than 80% of resource consumption and environmental emissions during the blank processing. Unfortunately, the traditional blank design method based on function and quality is not suitable for today’s sustainable development concept. In order to solve this problem, a research method of blank design optimization based on a low-carbon and low-cost process route optimization is proposed. Aiming at the processing characteristics of complex box type blank parts, the concept of the workstep element is proposed to represent the characteristics of machining parts, a low-carbon and low-cost multi-objective optimization model is established, and relevant constraints are set up. In addition, an intelligent generation algorithm of a working step chain is proposed, and combined with a particle swarm optimization algorithm to solve the optimization model. Finally, the feasibility and practicability of the method are verified by taking the processing of the blank of an emulsion box as an example. The data comparison shows that the comprehensive performance of the low-carbon and low-cost multi-objective optimization is the best, which meets the requirements of low-carbon processing, low-cost, and sustainable production.

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