nowadays the position of the renewable energy is so important because of the environment pollution and the limitation of fossil fuels in the world. energy can be generated more and more by the renewable sources, but the fossil fuels are non-renewable. one of the most important renewable sources is the wind energy. the wind energy is an appropriate alternative source of fossil fuel. the replacem...

using advanced techniques of econometrics and a metaheuristic optimization approach, this study attempts to evaluate the potential advantages of international portfolio diversification for east asian international investors when investing in the middle eastern emerging markets. overall, the results of both econometric and the metaheuristic optimization methods are supporting each other. finding...

the simultaneous optimization of multiple responses is an important problem in the design of industrial processes in order to achieve improved quality. in this paper, we present a new metaheuristic approach including simulated annealing and particle swarm optimization to optimize all responses simultaneously. for the purpose of illustration and comparison, the proposed approach is applied to tw...

Hybrid metaheuristic, an advancement over classical metaheuristic, provides a more effective search methodology. It combines several metaheuristic algorithms into one optimization mechanism. In this paper image enhancement is considered as an optimization problem. Hybrid metaheuristic techniques are used to find the optimum value for a set of parameters of a transformation function, with an aim...

Using advanced techniques of econometrics and a metaheuristic optimization approach, this study attempts to evaluate the potential advantages of international portfolio diversification for East Asian international investors when investing in the Middle Eastern emerging markets. Overall, the results of both econometric and the metaheuristic optimization methods are supporting each other. Finding...

Optimization of noisy non-linear problems plays a key role in engineering and design problems. These optimization problems can't be solved effectively by using conventional optimization methods. However, metaheuristic algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) seem very efficient to approach in these problems and became very popular. The efficiency of these ...

This paper presents a metaheuristic approach based on the Honey Bee Mating Algorithm (HBMA) to the problem of hydropower reservoir optimization. As shortage in power resources becomes more and more pressing, the issue of obtaining more power using less primary energy resources, in general, and less water resources, in particular, becomes an important target for the efficient usage of hydropower...

The main focus of this paper is to optimize the coverage each 4G LTE network cell within service area. There are many algorithms can be implemented determine optimal area including deterministic and heuristic approaches. approach could solve accurately optimization problem but need more resources time consuming convergence parameters. Therefore, approaches were introduced improve drawback. meth...

A novel robust hybrid metaheuristic optimization approach, which can be considered as an improvement of the recently developed bat algorithm, is proposed to solve global numerical optimization problems. The improvement includes the addition of pitch adjustment operation in HS serving as a mutation operator during the process of the bat updating with the aim of speeding up convergence, thus maki...