Abstract: Learning differential evolution (DE) algorithms are widely adopted to address flexible job-shop scheduling problems (FJSPs) because of the optimization ability. However, traditional learning ...

Abstract: Convergence speed and parametric sensitivity are two issues that tend to be neglected when extending Differential Evolution ... continuously during the optimization process. Empirical ...

Automation demands, artificial intelligence are affecting the palletizer, depalletizer equipment within the beverage industry ...

[JMLR (CCF-A)] PyPop7: A Pure-Python LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based randomized optimizers, ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

The distinction between IAM and CIAM reflects the fundamental differences between managing internal organizational resources and serving external customers in the digital age. While both share common ...