共 50 条
- [22] A New Representation and Adaptive Feature Selection for Evolving Compact Dispatching Rules for Dynamic Job Shop Scheduling with Genetic Programming [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS (APMS 2021), PT III, 2021, 632 : 646 - 654
- [23] A SURVEY OF HEURISTIC RULES AND THEIR SIMULATION APPROACHES TO DYNAMIC JOB SHOP SCHEDULING PROBLEM [J]. PROCEEDINGS OF THE 38TH INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3, 2008, : 835 - 844
- [24] Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling [J]. EVOLUTIONARY COMPUTATION IN COMBINATORIAL OPTIMIZATION, EVOCOP 2015, 2015, 9026 : 222 - 233
- [25] Toward Evolving Dispatching Rules for Dynamic Job Shop Scheduling Under Uncertainty [J]. PROCEEDINGS OF THE 2017 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'17), 2017, : 282 - 289
- [26] Automatic Design of Dispatching Rules with Genetic Programming for Dynamic Job Shop Scheduling [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: THE PATH TO DIGITAL TRANSFORMATION AND INNOVATION OF PRODUCTION MANAGEMENT SYSTEMS, PT I, 2020, 591 : 399 - 407
- [27] Evolving Dispatching Rules for Dynamic Job Shop Scheduling with Uncertain Processing Times [J]. 2017 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2017, : 364 - 371
- [28] Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling [J]. 2022 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2022,