Hyper-heuristics have recently emerged as a powerful approach to automate the design of
heuristics for a number of different problems. Production scheduling is a particularly popular …

Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the
goal of automating the design of heuristic methods to solve hard computational search …

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 …

Genetic programming has been a powerful technique for automated design of production
scheduling heuristics. Many studies have shown that heuristics evolved by genetic …

A scheduling policy strongly influences the performance of a manufacturing system.
However, the design of an effective scheduling policy is complicated and time consuming …

Designing effective dispatching rules is an important factor for many manufacturing systems.
However, this time-consuming process has been performed manually for a very long time …

Automated design of dispatching rules for production systems has been an interesting
research topic over the last several years. Machine learning, especially genetic …

This paper deals with a Genetic Programming (GP) approach for solving flexible shop
scheduling problems. The adopted approach aims to generate priority rules in the form of an …

In recent years, machine learning techniques, especially genetic programming (GP), have
been a powerful approach for automated design of the priority rule-heuristics for the …

Developing dispatching rules for manufacturing systems is a process, which is time-and cost-
consuming. Since there is no good general rule for different scenarios and objectives …