Biological and combinatorial problems exploration using parallel and evolutionary computing

Abstract

J. Conway's renowned evolutionary problem Game of Life attracts researchers for its capability to transfer the deputized patterns from a generation to its next. In this paper, we propose an efficient solution to this Game problem. In the implementation of the proposed solution a higher abstraction has been used to partition the program into serial and parallel regions. This abstraction improves the performances of the proposed scheme over the existing conventional schemes for all possible design approaches. The paper also illustrates the possible enhancements of the proposed solution to solve the complex combinatorial and biological problems of the real world.