A Radial Estimation-of-Distribution Algorithm for the Job-Shop Scheduling Problem

The job-shop environment has been widely studied under different approaches. It is due to its practical characteristic that makes research interesting. Therefore, the scheduling problem continues being attracted develop new evolutionary algorithms. In this paper, we propose a estimation of distribution algorithm coupled with radial probability function. aforementioned function comes from hydrogen element. This approach proposed in order build competitive for problem. key point exploit construct offspring, and tackle inconvenient EDAs, i.e., lack diversity solutions poor ability exploitation. Various instances numerical experiments are presented illustrate, validate novel research. results, obtained research, permits conclude using distributions an emerging field efficient EDAs.