Co-evolutional genetic algorithm for workflow scheduling in heterogeneous distributed environment

Flexible and efficient workflow scheduling is a key feature for modern distributed heterogeneous computational environments to satisfy requirements of scientific community. In this paper, we propose novel co-evolutional scheduling algorithm which demonstrates with conducted experiments how nature-inspired concept can improve existing schedulers and help to generate better schedules oriented on makespan minimization.