Realizing robust and scalable evolutionary algorithms toward exascale era

Future trend of supercomputing goes toward exa flops, which is realized by millions of cores expected to be installed on around 2018. Such massive parallelism makes programming difficult. Inherent parallel nature of evolutionary computation is a promising factor in designing optimization algorithms that adapt to such massively parallel architecture although there are some problems to be solved to realize robust algorithm that can analyze complex interactions among genes. This paper discusses current status and future trend in realizing robust and scalable evolutionary computation on such extreme scale supercomputers.