A design pattern for Web-based parallel genetic algorithms

Aiming at developing more efficient and robust genetic algorithms (GA) over the Internet, a new asynchronous, coarse-grain parallel genetic algorithm model is proposed in this paper. On the basis of the model, we present a design pattern for Web-based parallel GA, which captures design solutions to core problems in implementing Web-based parallel GA. This design pattern can achieve high degree of parallelism, can handle the high communication latency and low communication bandwidth problems of the Internet, and can contribute to building more robust Web-based parallel GA.