Minimal cost set covering using probabilistic methods
SAC '93 Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice
HGA: a hardware-based genetic algorithm
FPGA '95 Proceedings of the 1995 ACM third international symposium on Field-programmable gate arrays
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Multiple Genetic Algorithm Processor for Hardware Optimization
ICES '96 Proceedings of the First International Conference on Evolvable Systems: From Biology to Hardware
The master-slave architecture for evolutionary computations revisited
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
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In this paper, we propose a Parallel Genetic Algorithm (PGA) based on a modified survival method and discuss its efficient implementation. For parallel computation, we use a hybrid distributed architecture based on the coarse-grain and fine-grain. Moreover, we propose a modified survival-based GA using tournament selection method. To show the validity of a proposed PGA, we evaluate its performance with optimization problems such as DeJong's functions, mathematical function, and set covering problem. In addition, we implement a PGA processor with ALTERA EP2A40672F FPGA device. The experimental results will be shown that proposed PGA remarkably improves the speed of finding optimal solution than single GAP.