干旱区生态环境知识资源中心(Arid): Multi-objective Optimization Method Based on Deterministic and Metaheuristic Approaches in Water-Energy-Food Nexus Under Uncertainty

Arid

DOI	10.1007/s41742-022-00411-y
	Multi-objective Optimization Method Based on Deterministic and Metaheuristic Approaches in Water-Energy-Food Nexus Under Uncertainty
	German Hernandez-Perez, Luis; Geraldine Sanchez-Zarco, Xate; Maria Ponce-Ortega, Jose
通讯作者	Ponce-Ortega, JM
来源期刊	INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH
ISSN	1735-6865
EISSN	2008-2304
出版年	2022
卷号	16 期号:3
英文摘要	This paper presents a multi-objective optimization approach for the security assessment of the water-energy-food nexus considering the involved uncertainty. The proposed optimization approach consists of a hybrid strategy that combines deterministic and metaheuristic optimization approaches for solving this complex problem. The deterministic optimization part of the mathematical model is developed in the platform general algebraic modeling system (GAMS). The metaheuristic part is approached using the improved multi-objective optimization differential evolution algorithm programmed in visual basic for applications. The communication between the different software is implemented using GAMS data exchange files and linking routines. The uncertainty associated with the problem is considered using a code that generates random values of uncertain parameters of the mathematical model. The optimization approach is applied to assess the water-energy-food nexus in an arid region. Three objective functions (one economic and two environmental) were incorporated in the proposed formulation. A case study from a region of Mexico is addressed to show the applicability of the proposed approach. The results of the optimization process offer alternatives that conciliate economic and environmental interests considering uncertainty in weather conditions such as rainfall and solar radiation. The obtained results show a set of solution proposals in which different increases are offered in the satisfaction of the demand for energy and water in different sectors and at the same time, the smallest possible increase in the economic and environmental objective functions. In addition, the proposed methodology is replicable to different case studies where approaching the optimal solution becomes a complicated task. [GRAPHICS] .
英文关键词	Multi-objective optimization Hybrid deterministic-metaheuristic strategy Water-energy-food nexus Uncertainty
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000788594700001
WOS关键词	SUSTAINABLE DEVELOPMENT ; WEF NEXUS ; MODEL ; COMMUNITIES ; DESIGN ; POLICY
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393143
推荐引用方式 GB/T 7714	German Hernandez-Perez, Luis,Geraldine Sanchez-Zarco, Xate,Maria Ponce-Ortega, Jose. Multi-objective Optimization Method Based on Deterministic and Metaheuristic Approaches in Water-Energy-Food Nexus Under Uncertainty[J],2022,16(3).
APA	German Hernandez-Perez, Luis,Geraldine Sanchez-Zarco, Xate,&Maria Ponce-Ortega, Jose.(2022).Multi-objective Optimization Method Based on Deterministic and Metaheuristic Approaches in Water-Energy-Food Nexus Under Uncertainty.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH,16(3).
MLA	German Hernandez-Perez, Luis,et al."Multi-objective Optimization Method Based on Deterministic and Metaheuristic Approaches in Water-Energy-Food Nexus Under Uncertainty".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH 16.3(2022).