This paper surveys a number of parallelization techniques for genetic algorithms, focusing on two: the distributed genetic algorithm and the distributed tness computation. While parallelization of serial algorithms usually requires certain amount of tricks and twitches, the genetic algorithms are parallel by their nature. This feature of genetic algorithms is widely exploited and there exists a...

usually in the form of parallel processing with parallel multi-processor systems are designed .for this reason irregular flow may occur with packages. when you're tired and it all comes out in his np (network processors)  system, reset depending on network performance is negatively affected and we delayed to do this, the design of processors working in parallel packet transmission by avoid...

This paper considers job shop scheduling problem followed by an assembly stage and Lot Streaming (LS). It is supposed here that a number of products have been ordered to be produced. Each product is assembled with a set of several parts. The production system includes two stages. The first stage is a job shop to produce parts. Each machine can process only one part at the same time. The second ...

today, with the advanced statistical techniques and neural networks, predictive models of distribution have been rapidly developed in ecology. purpose of this research is to predict and map the distribution of tetranychus urticae koch (acari: tetranychidae) using mlp neural networks combined with genetic algorithm in surface of farm. population data of pest was obtained in 2016 by sampling in 1...