Name
Title | ||
|---|---|---|
Genetic algorithms and mixed integer linear programs for optimal strategies in a student's "sports" activity |
Abstract | ||
|---|---|---|
This paper uses an entertaining student "sports" game to illustrate that GAs can be adapted to problems with uncertain properties and complexity. These problems can be solved easily through GAs within a few seconds. Contrary to this, using standard MILP techniques does not yield results in a reasonable time. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1145/1143997.1144296 | GECCO |
Keywords | Field | DocType |
reasonable time,uncertain property,genetic algorithm,entertaining student,optimal strategy,mixed integer linear program,standard milp technique,genetic algorithms,artificial intelligent,games,ease of use,discrete event simulation | Integer,Mathematical optimization,Computer science,Usability,Artificial intelligence,Machine learning,Genetic algorithm,Discrete event simulation | Conference |
ISBN | Citations | PageRank |
1-59593-186-4 | 1 | 0.37 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Butter | 1 | 55 | 6.25 |
| Franz Rothlauf | 2 | 1497 | 160.29 |
| Jörn Grahl | 3 | 194 | 15.68 |
| Tobias Hildenbrand | 4 | 121 | 14.05 |
| Jens Arndt | 5 | 1 | 1.05 |