The Third International Workshop on Dynamic Scheduling Problems: Extended Abstracts
dc.contributor.author | Stanisław Gawiejnowicz (ed.) | |
dc.date.accessioned | 2023-11-16T13:41:40Z | |
dc.date.available | 2023-11-16T13:41:40Z | |
dc.date.issued | 2021 | |
dc.description.abstract | This book contains extended abstracts of a plenary lecture and papers presented at the Third International Workshop on Dynamic Scheduling Problems, July 5th–6th, 2021, Poznań, Poland. | |
dc.identifier.citation | The Third International Workshop on Dynamic Scheduling Problems: Extended Abstracts, Adam Mickiewicz University, Poznań, Faculty of Mathematics and Computer Science, July 5t-6th, 2021, Poznań, Poland | |
dc.identifier.isbn | 978-83-951298-6-5 | |
dc.identifier.uri | https://hdl.handle.net/10593/27490 | |
dc.language.iso | en | |
dc.publisher | Polish Mathematical Society | |
dc.subject | adjacent job sequence | |
dc.subject | adjacent scenario | |
dc.subject | agent scheduling | |
dc.subject | assembly line | |
dc.subject | bi-criteria optimization | |
dc.subject | choice of opponent | |
dc.subject | complexity | |
dc.subject | conditional DAG | |
dc.subject | data gathering networks | |
dc.subject | deteriorating jobs | |
dc.subject | discrete scenario | |
dc.subject | dynamic programming | |
dc.subject | FFD | |
dc.subject | fl ow shop | |
dc.subject | forgetting e ects | |
dc.subject | FPTAS | |
dc.subject | heuristics | |
dc.subject | job rejection | |
dc.subject | LAPT rule | |
dc.subject | learning eff ects | |
dc.subject | line side placement | |
dc.subject | local search | |
dc.subject | LPT rule | |
dc.subject | makespan | |
dc.subject | mixed-criticality scheduling | |
dc.subject | moving conveyor | |
dc.subject | multiple round sports tournament | |
dc.subject | open shop | |
dc.subject | parallel machines | |
dc.subject | parallel processing | |
dc.subject | performance criteria | |
dc.subject | periodic availability | |
dc.subject | position-dependent jobs | |
dc.subject | professional tennis data | |
dc.subject | reinforcement learning | |
dc.subject | relative robust optimization | |
dc.subject | resource allocation | |
dc.subject | resource-dependent processing times | |
dc.subject | scheduling | |
dc.subject | single machine | |
dc.subject | step-learning | |
dc.subject | time-dependent scheduling | |
dc.subject | total completion time | |
dc.subject | V-shape property | |
dc.subject | variable communication speed | |
dc.subject | varying-speed processors | |
dc.subject | walking time | |
dc.subject | worst-case ratio | |
dc.title | The Third International Workshop on Dynamic Scheduling Problems: Extended Abstracts | |
dc.type | info:eu-repo/semantics/conferenceProceedings |