Automated design of production scheduling heuristics: A review
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 …
heuristics for a number of different problems. Production scheduling is a particularly popular …
Genetic programming for production scheduling: a survey with a unified framework
Genetic programming has been a powerful technique for automated design of production
scheduling heuristics. Many studies have shown that heuristics evolved by genetic …
scheduling heuristics. Many studies have shown that heuristics evolved by genetic …
Survey on genetic programming and machine learning techniques for heuristic design in job shop scheduling
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 …
the production efficiency. JSS has a wide range of applications, such as order picking in the …
Genetic programming needs better benchmarks
Genetic programming (GP) is not a field noted for the rigor of its benchmarking. Some of its
benchmark problems are popular purely through historical contingency, and they can be …
benchmark problems are popular purely through historical contingency, and they can be …
Automatic design of scheduling policies for dynamic multi-objective job shop scheduling via cooperative coevolution genetic programming
A scheduling policy strongly influences the performance of a manufacturing system.
However, the design of an effective scheduling policy is complicated and time consuming …
However, the design of an effective scheduling policy is complicated and time consuming …
A computational study of representations in genetic programming to evolve dispatching rules for the job shop scheduling problem
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 …
However, this time-consuming process has been performed manually for a very long time …
Open issues in genetic programming
It is approximately 50 years since the first computational experiments were conducted in
what has become known today as the field of Genetic Programming (GP), twenty years since …
what has become known today as the field of Genetic Programming (GP), twenty years since …
Surrogate-assisted genetic programming with simplified models for automated design of dispatching rules
Automated design of dispatching rules for production systems has been an interesting
research topic over the last several years. Machine learning, especially genetic …
research topic over the last several years. Machine learning, especially genetic …
Genetic programming-based hyper-heuristic approach for solving dynamic job shop scheduling problem with extended technical precedence constraints
H Fan, H Xiong, M Goh - Computers & Operations Research, 2021 - Elsevier
Extended technical precedence constraints (ETPC) in dynamic job shop scheduling problem
(DJSP) are the precedence constraints existing between different jobs instead of the …
(DJSP) are the precedence constraints existing between different jobs instead of the …
An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling
Genetic programming based hyper-heuristic (GP-HH) approaches that evolve ensembles of
dispatching rules have been effectively applied to dynamic job shop scheduling (JSS) …
dispatching rules have been effectively applied to dynamic job shop scheduling (JSS) …