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 …

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 …

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 …

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 …

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

Lot-sizing and scheduling in a job shop environment is a fundamental problem that appears
in many industrial settings. The problem is very complex, and solutions are often needed …

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 …

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 …

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