Compilers: principles, techniques, and tools
Compilers: principles, techniques, and tools
Optimization of control parameters for genetic algorithms
IEEE Transactions on Systems, Man and Cybernetics
Priority rules for job shops with weighted tardiness costs
Management Science
On using genetic algorithms to search program spaces
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
An algorithm for solving the job-shop problem
Management Science
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Modern heuristic techniques for combinatorial problems
Modern heuristic techniques for combinatorial problems
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
An evolutionary approach to combinatorial optimization problems
CSC '94 Proceedings of the 22nd annual ACM computer science conference on Scaling up : meeting the challenge of complexity in real-world computing applications: meeting the challenge of complexity in real-world computing applications
A genetic algorithm for the job shop problem
Computers and Operations Research - Special issue on genetic algorithms
Evolution based learning in a job shop scheduling environment
Computers and Operations Research - Special issue on genetic algorithms
Simulation with visual SLAM and AweSim
Simulation with visual SLAM and AweSim
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Computers and Industrial Engineering
How to solve it: modern heuristics
How to solve it: modern heuristics
Multiobjective Scheduling by Genetic Algorithms
Multiobjective Scheduling by Genetic Algorithms
Scheduling in Computer and Manufacturing Systems
Scheduling in Computer and Manufacturing Systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Learning with Genetic Algorithms: An Overview
Machine Learning
A Representation for the Adaptive Generation of Simple Sequential Programs
Proceedings of the 1st International Conference on Genetic Algorithms
Simulation with Arena
Design and Implementation of Adaptive Agents for Complex Manufacturing Systems
HoloMAS '07 Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
Evolving reusable 3d packing heuristics with genetic programming
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Evolving human-competitive reusable 2D strip packing heuristics
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Training a neural network to select dispatching rules in real time
Computers and Industrial Engineering
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Generating meta-heuristic optimization code using ADATE
Journal of Heuristics
A new dispatching rule based genetic algorithm for the multi-objective job shop problem
Journal of Heuristics
A genetic programming hyper-heuristic approach for evolving 2-D strip packing heuristics
IEEE Transactions on Evolutionary Computation
Integrating neural networks and logistic regression to underpin hyper-heuristic search
Knowledge-Based Systems
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Automating the packing heuristic design process with genetic programming
Evolutionary Computation
Rule-based scheduling in wafer fabrication with due date-based objectives
Computers and Operations Research
Matrix analysis of genetic programming mutation
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
Engineering Applications of Artificial Intelligence
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II
Computers and Industrial Engineering
Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness
Proceedings of the Winter Simulation Conference
Generation of VNS components with grammatical evolution for vehicle routing
EuroGP'13 Proceedings of the 16th European conference on Genetic Programming
EuroGP'13 Proceedings of the 16th European conference on Genetic Programming
Journal of Intelligent Manufacturing
Reactive scheduling in a job shop where jobs arrive over time
Computers and Industrial Engineering
Genetic programming for evolving due-date assignment models in job shop environments
Evolutionary Computation
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms
Genetic Programming and Evolvable Machines
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Priority-dispatching rules have been studied for many decades, and they form the backbone of much industrial scheduling practice. Developing new dispatching rules for a given environment, however, is usually a tedious process involving implementing different rules in a simulation model of the facility under study and evaluating the rule through extensive simulation experiments. In this research, an innovative approach is presented, which is capable of automatically discovering effective dispatching rules. This is a significant step beyond current applications of artificial intelligence to production scheduling, which are mainly based on learning to select a given rule from among a number of candidates rather than identifying new and potentially more effective rules. The proposed approach is evaluated in a variety of single machine environments, and discovers rules that are competitive with those in the literature, which are the results of decades of research.