The optimization process is applied to the machining operations in order to provide
continual improvement in accuracy and quality of produced parts. The effects of machining …

Manufacturing processes are among the most energy intensive on earth. As negative
ecological and economic impacts increase, reducing energy consumption is becoming …

Engineers have attempted to solve water resources engineering problems with the help of
empirical, regression-based and numerical models. Empirical models are not universal, nor …

Over the last decade, there has been a rapid growth of the use of genetic algorithms in the
various areas of production and operations management. This paper provides a review of …

This paper presents an alternative hybrid approach, combining response surface
methodology (RSM) and principal component analysis (PCA) to optimize multiple correlated …

In this study, Simulated Annealing (SA) and Genetic Algorithm (GA) soft computing
techniques are integrated to estimate optimal process parameters that lead to a minimum …

In this study, Artificial Neural Network (ANN) and Simulated Annealing (SA) techniques were
integrated labeled as integrated ANN-SA to estimate optimal process parameters in …

Evolutionary computation has shown an interesting potential in the engineering fields. The
optimization strategies used, based on a population of solutions and often inspired from …

The attractive combination of high mechanical strength, good corrosion resistance and
relatively low cost has contributed to making duplex stainless steels (DSSs) one of the …

The current paper presents a hybrid enhanced genetic algorithm that is developed for
solving the optimization problems in design and manufacturing. The present approach is …