Search
CSV
RISPartial mutation in GA a novel proposed algorithm to solving complex problem
The genetic algorithm is a powerful method to analyze many complex issue, especially in the optimization problems.
Time series predictive wavelet neural network control method
Optimal reduction of a spatial monitoring grid: Proposals and applications in process control
Proposal adaptation in simulated annealing for continuous optimization problems
Multi 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-Objective Optimal Design of Sandwich Composite Laminates Using Simulated Annealing and FEM
of surface layers and core thickness in such way that natural frequency is maximized with minimal material cost and weight. A simulated annealing algorithm with finite element method is used for simultaneous cost and weight minimization and frequency...
Optimizing Turning Parameters for Cylindrical Parts Using Simulated Annealing Method
In this paper, a simulated annealing algorithm has been developed to optimize machining parameters in turning operation on cylindrical workpieces. The turning operation usually includes several passes of rough machining and a final pass of finishing...