A multiobjective optimization model for water resources planning
نویسندگان
چکیده
منابع مشابه
A Stochastic Model for Water Resources Management
Irrigation water management is crucial for agricultural production and livelihood security in many regions and countries throughout the world. Over the past decades, controversial and conflictladen water-allocation issues among competing municipal, industrial and agricultural interests have raised increasing concerns. Particularly, growing population, varying natural conditions and shrinking wa...
متن کاملA multiobjective optimization framework for multicontaminant industrial water network design.
The optimal design of multicontaminant industrial water networks according to several objectives is carried out in this paper. The general formulation of the water allocation problem (WAP) is given as a set of nonlinear equations with binary variables representing the presence of interconnections in the network. For optimization purposes, three antagonist objectives are considered: F(1), the fr...
متن کاملA Multiobjective Particle Swarm Optimization Model for Reservoir Operations and Planning
This paper presents an application of an evolutionary optimization algorithm for multiobjective analysis for reservoir operations and planning. A multiobjective particle swarm optimization (MOPSO) algorithm is used to find nondominated solutions with four objectives: (i) maximize annual firm water supply; (ii) maximize annual firm energy production; (iii) minimize flood risk; and (iv) maximize ...
متن کاملMultiobjective Robust Optimization of Water Distribution Networks
Due to its practical importance and inherent complexity, the optimization of distribution networks for supplying drinking water has been the subject of extensive study for the past 30 years. The optimization is governed by sizing the pipes in the water distribution network (WDN). The pipe diameters are to be selected from a list of available commercial diameters, making WDN optimization a pure ...
متن کاملEvolutionary Multiobjective Optimization in Water Resources: The Past, Present, and Future
This study contributes a rigorous diagnostic assessment of state-of-theart multiobjective evolutionary algorithms (MOEAs) and highlights key advances that the water resources field can exploit to better discover the critical tradeoffs constraining our systems. This study provides the most comprehensive diagnostic assessment of MOEAs for water resources to date, exploiting more than 100,000 MOEA...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Mathematical Modelling
سال: 1980
ISSN: 0307-904X
DOI: 10.1016/0307-904x(80)90127-4