Search
CSV
RISMulti Objective Optimization of Turning Process using Grey Relational Analysis and Simulated Annealing Algorithm
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...
Multi-Projects Scheduling with Resource Constraints and Priority Rules and Fuzzy Activities
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...
Multi objective optimization of turning process using Grey Relational Analysis and Simulated Annealing Algorithm
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...
A Comparative Study for Modeling and Optimization of Surface Roughness in Milling Process Using Taguchi Technique and Simulating Annealing Algorithm
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...
Multi-Objective Resource Allocation Problem with Simulated Annealing Algorithm
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...
A hybrid NN-FE approach to adjust blank holder gap over punch stroke in deep drawing process
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 ...
Modeling and Optimization of Process Parameters Using Neural Networks and Simulated Algorithm for Electrical Discharge Machining of AISI2312 Hot Worked Steel
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...
Optimum design of straight bevel gears pair using evolutionary algorithms
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...