Recently, many meta-heuristic algorithms are proposed for optimization of various problems. Some of them originally are presented for continuous optimization problems and some others are just applicable for discrete ones. In the literature, sizing optimization of truss structures is one of the discrete optimization problems which is solved by many meta-heuristic algorithms. In this paper, in or...

Optimization of reservoir parameters is an important issue in petroleum exploration and production. The Ant Colony Optimization(ACO) is a recent approach to solve discrete and continuous optimization problems. In this paper, the Ant Colony Optimization is usedas an intelligent tool to estimate reservoir rock properties. The methodology is illustrated by using a case study on shear wave velocity...

A direct search approach to determine optimal reservoir operating is proposed with ant colony optimization for continuous domains (ACOR). The model is applied to a system of single reservoir to determine the optimum releases during 42 years of monthly steps. A disadvantage of ant colony based methods and the ACOR in particular, refers to great amount of computer run time consumption. In this st...

Aerospace systems continue to grow in complexity while demanding optimal performance. This requires the systems to be both designed and controlled optimally. Aerospace systems are also typically comprised of many interacting components, some of which may have competing requirements. The optimization approaches used for aerospace systems usually require centralized coordination and synchronous u...

Many real-world optimization problems are large-scale in nature. In order to solve these problems, an optimization algorithm is required that is able to apply a global search regardless of the problems’ particularities. This paper proposes a self-adaptive differential evolution algorithm, called jDElscop, for solving large-scale optimization problems with continuous variables. The proposed algo...

A new class of polymeric piezoelectric bimorph actuators, called C-blocks because of their curved shape, has been developed to overcome limitations of conventional bimorph and stack piezoelectric configurations. Design tradeoffs are investigated in the current research using various performance criteria such as maximum deflection, force, and strain energy. The set of design variables to optimiz...

Metaheuristic techniques have successfully contributed to the development and optimization of large-scale distributed power systems. The archived literature demonstrate that the modification or tuning of the parameters of specific metaheuristics can provide powerful tools suited for optimization of power plants with different types of constraints. In spite of the high potential of metaheuristic...

Travelling Repairman Problem (TRP) is one variant of the Travelling Salesman Problem (TSP) with the objective function minimizing the total waiting time for customers served by the repairman. Finding TRP solution is very important because it is often encountered in real world cases. In the TRP, a customer requires a fast service that he was satisfied. TRP is a combinatorial problem that require...