Job shop scheduling (JSS) is a process of optimizing the use of limited resources to improve
the production efficiency. JSS has a wide range of applications, such as order picking in the …

Multi-project management and uncertain environment are very common factors, and they
bring greater challenges to scheduling due to the increase of problem complexity and …

The large-scale characteristic and complex logic between activities have made priority rules
(PRs) are more favoured in actual project scheduling, resulting in the increasing attention of …

In this paper, we solve the feature subset selection (FSS) problem with three objective
functions namely, cardinality, area under receiver operating characteristic curve (AUC) and …

The real-world problem of unrelated parallel machine scheduling problem with sequence-
dependent setup times (UPMSPSST) is investigated and focuses on two key aspects: fast …

While meta-heuristics are usually designed for the optimization problems of the same
domain and can achieve superior performance compared with heuristics, their performances …

Heuristics have been effective in solving computationally difficult optimization issues, but
because they are often created for certain problem domains, they perform poorly when the …

Abstract Current Artificial Intelligence (AI) systems are capable of making decisions or
performing tasks independently, without human intervention. However, these systems can …

With a world awash in competition, every business seeks to boost revenue through all
means possible. Direct and indirect sales are the two most common strategies for generating …