agriculture is one of the main sectors affected by climate change. although recently some studies about the nature and size climate change effect on the physical variables of water resources and agriculture have been done, however economic perspectives and the role of adaptation strategies have been less studied empirically. the contribution of this study is modeling real economic behavior of s...

Many water resources systems are characterized by multiple objectives. For multiobjective optimization, typically there can be no single optimal solution which can simultaneously satisfy all the goals, but rather a set of technologically efficient noninferior or Pareto optimal solutions exists. Generating those Pareto optimal solutions is a challenging task and often difficulties arise in using...

dam reservoirs supplies water resources for drinking, agriculture, and industry almost in all parts of iran. lack of proper utilization rules and unbalanced demands versus available water has led to many problems regarding to ineffective use of the water resources. precipitation and flow rate are stochastic phenomena. therefore, multi-step processes related to the water use efficiency should be...

We present an application of multiple-objectives evolutionary optimization to the problem of engineering the distribution of the interdomain traffic in the Internet. We show that this practical problem requires such a heuristic due to the potential conflicting nature of the traffic engineering objectives. Furthermore, having to work on the parameter’s space of the real problem makes such techni...

Many real-world control applications, from economics to robotics, are characterized by the presence of multiple conflicting objectives. In these problems, the standard concept of optimality is replaced by Pareto–optimality and the goal is to find the Pareto frontier, a set of solutions representing different compromises among the objectives. Despite recent advances in multi–objective optimizati...

Most of the real-world optimization problems involve multiple objectives with constraint resources. Retailers oftentimes anticipate demand, they stock, and maintain warehouses different variety products at high cost to meet prospecting customers' demand. In this paper, a Non-preemptive Integer Nonlinear Goal Programming (NINGP) model was developed for obtaining Economic Order Quantities (EOQ) m...