Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Multi-objective optimal allocation of regional water resources based on slime mould algorithm
by
Wang, Zhaocai
, Wu, Xian
in
Algorithms
/ Consumption
/ Genetic algorithms
/ Heuristic
/ Heuristic methods
/ Mold
/ Multiple objective analysis
/ Neural networks
/ Optimization
/ Optimization algorithms
/ Optimization techniques
/ Planning
/ Regional development
/ Resource allocation
/ Slime
/ Supply & demand
/ Systems analysis
/ Water demand
/ Water distribution
/ Water engineering
/ Water resources
/ Water shortages
/ Water use
2022
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Multi-objective optimal allocation of regional water resources based on slime mould algorithm
by
Wang, Zhaocai
, Wu, Xian
in
Algorithms
/ Consumption
/ Genetic algorithms
/ Heuristic
/ Heuristic methods
/ Mold
/ Multiple objective analysis
/ Neural networks
/ Optimization
/ Optimization algorithms
/ Optimization techniques
/ Planning
/ Regional development
/ Resource allocation
/ Slime
/ Supply & demand
/ Systems analysis
/ Water demand
/ Water distribution
/ Water engineering
/ Water resources
/ Water shortages
/ Water use
2022
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Multi-objective optimal allocation of regional water resources based on slime mould algorithm
by
Wang, Zhaocai
, Wu, Xian
in
Algorithms
/ Consumption
/ Genetic algorithms
/ Heuristic
/ Heuristic methods
/ Mold
/ Multiple objective analysis
/ Neural networks
/ Optimization
/ Optimization algorithms
/ Optimization techniques
/ Planning
/ Regional development
/ Resource allocation
/ Slime
/ Supply & demand
/ Systems analysis
/ Water demand
/ Water distribution
/ Water engineering
/ Water resources
/ Water shortages
/ Water use
2022
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Multi-objective optimal allocation of regional water resources based on slime mould algorithm
Journal Article
Multi-objective optimal allocation of regional water resources based on slime mould algorithm
2022
Request Book From Autostore
and Choose the Collection Method
Overview
The slime mold algorithm (SMA) is applied to optimize the allocation of water resources in Wuzhi. The cost of using mathematical methods to optimize an engineered water allocation problem is enormous, and heuristic algorithms have become reliable and effective optimization tools. In this study, a multi-objective water resources optimal allocation model integrating social, economic and environmental objectives is constructed for the study area, and SMA equipped with fast convergence and accurate search is applied to optimize the problem. Water allocation schemes for the region in 2025 and 2030 were obtained, and the distribution results were independently analyzed from both the demand and supply sides. The results show that the total water distribution in 2025 and 2030 are about 323 million m 3 and 346 million m 3 , and the water deficit ratios are 2.90% and 6.95%, respectively. From the perspective of regional development, the water dispatched in the region still is less than the water demand and the optimized water resource allocation plan can guide the development of the region.
This website uses cookies to ensure you get the best experience on our website.