Practical optimization problems are often too complex to be formulated exactly. Knowing multiple good alternatives can help decision-makers easily switch solutions when needed, such as faced with unforeseen constraints. A multimodal task aims find global optima well high-quality local of an problem. Evolutionary algorithms niching techniques commonly used for problems, where a rough estimate th...

one of the problems that sometimes occur in gas allocation optimization is instability phenomenon. this phenomenon reduces the oil production and damages downhole and surface facilities. different works have studied the stability and suggested some solutions to override it, but most of them (such as making the well intelligent) are very expensive and thus they are not applicable to many cases. ...

national currency depreciation or appreciation has always been argued seriously among policymakers since changing in exchange rate could cause improvement or deficit in trade balance. these changes affect the trade volume of a country in both short-run and long-run. long-run effects are recognized as the marshall-lerner condition, while short-run effects are analyzed by two concepts: j-curve an...

State assignment (SA) for finite state machines (FSMs) is one of the main optimization problems in the synthesis of sequential circuits. It determines the complexity of its combinational circuit and thus area, delay, testability and power dissipation of its implementation. Particle swarm optimization (PSO) is a nondeterministic heuristic that optimizes a problem by iteratively trying to improve...

unemployment-inflation trade-off is known as philips curve. this relationship was first defined for england economy by professor philips since 1958. much development has been submitted by different economic schools about this innovation. in this paper, apart from dealing with the new-keynesians philips curve, the curve mentioned is estimated for iranian economy. in addition, we are going to com...

The use of computational methodologies for the optimization of aesthetic parameters is not frequent mainly due to the fact that these parameters are not quantifiable and are subjective. In this work an interactive methodology based on the use of multi-objective optimization algorithms is proposed. This strategy associates the results of different optimization runs considering the existent quant...

in most industrial zones, electric energy is one of the most important energy sources. since electrical motors are the main energy consumers of industrial factories, consumption optimization in these motors can be considered as a main option related to energy saving. one very effective way to reduce the consumption of these equipment is to use a motor speed controllers or drives. since the loss...