Determination of optimum location for drilling a new well not only requires engineering judgments but also consumes excessive computational time. Additionally, availability of many physical constraints such as the well length, trajectory, and completion type and the numerous affecting parameters including, well type, well numbers, well-control variables prompt that the optimization approaches b...

Optimization is necessary for the control of any process to achieve better product quality, high productivity with low cost. The beltline moulding process is difficult task due to its low defects, making the material sensitive to reject. The efficient beltline moulding process involves the optimal selection of operating parameters to maximize the number of production while maintaining the requi...

In this paper, multi-objective optimization of hard turning has been reported. A neural network model was developed in order to model the surface roughness and tool wear characteristics of hard turning when CBN tools are used. Objective is to obtain optimum process parameters, which satisfies given limit, tool wear and surface roughness values and maximizes the productivity at the same time. A ...

The support vector machine has been shown to be comparable to the state of the art for classification. In certain situations however, the convergence to a global optimum of the optimization problem can be very slow. It is shown that solutions suboptimal in terms of the optimization problem can still have very good performance. By using a heuristic stopping criterion (termed HERMES) these soluti...

The paper deals with testing of selected heuristic optimization methods and their evaluation. We have proposed different techniques which express the success of the optimization method in different ways (the method success, the difference between optimum and local extreme, the distances of quartiles, the number of simulation experiments until the optimum was found). These evaluation techniques ...

in this paper, the optimum shape of tailor-welded blanks (twb) is investigated. the optimization is performed for two different case studies. the first example is deep drawing of a twb with dissimilar materials and uniform thicknesses and the next example is deep drawing of a twb with similar materials and non-uniform thicknesses. the effect of blank optimization on the weld line movement is in...

Discrete-event simulation based optimization is the process of finding the optimum design of a stochastic system when the performance measure(s) could only be estimated via simulation. Randomness in simulation outputs often challenges the correct selection of the optimum. We propose an algorithm that merges Ranking and Selection procedures with a large class of random search methods for continu...

Tunnel structures are known as expensive infrastructures and determining optimum designs of these structures can play a great role in minimizing their cost. The formulation of optimum design of industrial tunnel sections as an optimization is considered in this paper and then the enhanced charged system search, as a recently developed meta-heuristic approach, has been applied to solve the probl...

many shape and topology optimization methods have been inspired from the nature. in this paper, two different optimization algorithms based on the adaptive biological growth (abg) have been applied to some structural elements. the first algorithm is developed for the shape optimization and is applied to a plate with a central hole as well as a fillet plate. the second algorithm is the soft kill...

this article is devoted to the simultaneous optimization of shape and topology of shell structures. the optimum shape is obtained together with the optimum layout for the reinforcement layers at the both sides of the shell surface. to solve this problem the finite element method is employed. it is assumed that each element is comprised of a porous media with microscopic rectangular voids where ...