... of the state-space. A genetic algorithm is applied to search for the best subset of layouts where each chromosome represents one subset of layouts. This subset is given to DP to be solved and the result is considered as the fitness of the chromosome. By the evolution of the chromosomes, the best subset...

... of neural network and genetic algorithm has been used to develop the intelligent model for material removal rate (MRR) and subsequent optimization with the experimental data obtained by scientifically designed experimentation. Electric discharge diamond grinding Material removal rate Artificial...

..., there are some drawbacks in using Backpropagation (BP) neural networks, such as easily falling into local minimum point. Because of that, recently Genetic Algorithms (GA) are applied to BP networks in order to optimize them. This paper describes the application of BP networks and GA applied to BP networks...

... shape in the calculation. Key Words: Polishing, Lapping, Double-Sided Polishing, Flatness, Tool Wear, Engineering Optimization, Genetic Algorithm, Silicon Wafer INTRODUCTION Semiconductor devices require Si wafers as the substrates to be manufactured with very high flatness for miniaturizing the design...

... of errors in dimensional workpiece quality in a multi-station manufacturing process with a limited number of flexible tooling components. Genetic Algorithm is proposed to enable optimal allocation of flexible tooling devices. Theoretical results have been evaluated and demonstrated using the SoV model...