process of St 50.2 Steel. After model development, Analysis of Variance (ANOVA) is performed to

determine the adequacy of the proposed model. The developed multi objective model is then

optimized by simulated annealing algorithm (SA) in order...

on the resource combination selected. This paper is a combination of Simulated Annealing Algorithm and the best Priority rules for solving the problem of scheduling in multi projects with limited resources that has been tested with numerical examples...

development, Analysis of Variance (ANOVA) is performed to determine the adequacy of the proposed model. The developed multi objective model is then optimized by simulated annealing algorithm (SA) in order to determine the best set of parameter values...

The present work addresses a statistical modeling and optimization procedure for milling process of 7075-T6 aluminum alloy using regression modeling, Taguchi technique and simulated annealing algorithm(SAA). The input parameters are feed rate...

This paper consider on Multi-objective resource allocation problem (MORAP). To solve a hypothetical MORA problem, simulated annealing algorithm was used. Results showed that simulated annealing is very efficient to solve this problem. At the end...

In deep drawing process, the blank holder plays a key role in adjustment of metal flow into the die cavity.Moreover, the quality of drawn parts is extremely affected by this flow. There are two methods of treating the blank ...

annealing algorithm. Next, the developed model is embaded into the SA algorithm to determine the best set of process parameters values for a desired set of outputs. Validation of the results has been carried out through a test run...

in a decrease in energy consumption and the material requirement in manufacturing. In this paper, employing two powerful optimization algorithms, simulated annealing algorithm (SA) and genetic algorithm (GA), techniques for advanced optimization...