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
Multiple Vehicle Routing with Time and Capacity Constraints Using Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
On Permutation Representations for Scheduling Problems
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
A Genetic Algorithm for Job-Shop Problems with Various Schedule Quality Criteria
Selected Papers from AISB Workshop on Evolutionary Computing
Optimising an Evolutionary Algorithm for Scheduling
Real-World Applications of Evolutionary Computing, EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoROB, and EvoFlight
A Comparison of Genetic Algorithms for the Static Job Shop Scheduling Problem
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Anticipation in Dynamic Optimization: The Scheduling Case
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Neighbourhood Based Robustness Applied to Tardiness and Total Flowtime Job Shops
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Real-Coded Parameter-Free Genetic Algorithm for Job-Shop Scheduling Problems
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Scheduling as Heuristic Search with State Space Reduction
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Memetic-neural scheduler of jobs in identical parallel machines
Second international workshop on Intelligent systems design and application
A symbiotic evolutionary algorithm for the integration of process planning and job shop scheduling
Computers and Operations Research
Rescheduling Manufacturing Systems: A Framework of Strategies, Policies, and Methods
Journal of Scheduling
Designing evolutionary algorithms for dynamic optimization problems
Advances in evolutionary computing
Applying scheduling techniques to minimize the number of late jobs in workflow systems
Proceedings of the 2004 ACM symposium on Applied computing
Using a hybrid Evolutionary-Taboo Algorithm to solve Job Shop Problem
Proceedings of the 2004 ACM symposium on Applied computing
Evolutionary Scheduling: A Review
Genetic Programming and Evolvable Machines
Towards an analysis of dynamic environments
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
A genetic algorithm for dynamic advanced planning and scheduling (DAPS) with a frozen interval
Expert Systems with Applications: An International Journal
Stability-oriented evaluation of rescheduling strategies, by using simulation
Computers in Industry
Airlift mission monitoring and dynamic rescheduling
Engineering Applications of Artificial Intelligence
A survey of dynamic scheduling in manufacturing systems
Journal of Scheduling
Hybridizing a Genetic Algorithm with Local Search and Heuristic Seeding
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
An improved constraint satisfaction adaptive neural network for job-shop scheduling
Journal of Scheduling
Integrating rush orders into existent schedules for a complex job shop problem
Applied Intelligence
A memory enhanced evolutionary algorithm for dynamic scheduling problems
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
Improving on excellence: an evolutionary approach
EC'05 Proceedings of the 6th WSEAS international conference on Evolutionary computing
A genetic algorithm for radiotherapy pre-treatment scheduling
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
A genetic algorithm for the project scheduling with the resource constraints
Annales UMCS, Informatica
Proposition of selection operation in a genetic algorithm for a job shop rescheduling problem
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
New codification schemas for scheduling with genetic algorithms
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Sub-structural niching in non-stationary environments
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Modeling the behavior of dispatching rules in workflow systems: a statistical approach
CRIWG'05 Proceedings of the 11th international conference on Groupware: design, Implementation, and Use
Study of objective functions in fuzzy job-shop problem
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Scheduling with memetic algorithms over the spaces of semi-active and active schedules
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Performance evaluation of evolutionary heuristics in dynamic environments
Applied Intelligence
A Robotic-Driven Disassembly Sequence Generator for End-Of-Life Electronic Products
Journal of Intelligent and Robotic Systems
| Hi-index | 0.00 |
A general model for job shop scheduling is described which applies to static, dynamic and non-deterministic production environments. Next, a Genetic Algorithm is presented which solves the job shop scheduling problem. This algorithm is tested in a dynamic environment under different workload situations. Thereby, a highly efficient decoding procedure is proposed which strongly improves the quality of schedules. Finally, this technique is tested for scheduling and rescheduling in a non-deterministic environment. It is shown by experiment that conventional methods of production control are clearly outperformed atreasonable runtime costs.