Name
Abstract | ||
|---|---|---|
Evolutionary computation (EC) is called "human-based EC" especially when its all main operators, which are selection, crossover, and mutation, are executed by humans. One type of human-based EC is distributed human-based EC, in which humans independently manage their solution candidates and share them by direct communication between the humans. It is expected that the EC solves problems in human organizations. However, it is not easy to conduct real experiments to investigate the effect of human behaviors on the performance of the EC because such experiments needs many cooperative people. In the paper, we, therefore, first model human behaviors and then build a simulation model including the model. The model of human behaviors focuses on physical movement and free will to decide a time of interactions with others. Furthermore, we attempt to understand the EC though simulations using the built simulation model. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-61824-1_5 | ADVANCES IN SWARM INTELLIGENCE, ICSI 2017, PT I |
Keywords | Field | DocType |
Human-based evolutionary computation,Human behaviors,Simulation model | Crossover,Human-based evolutionary computation,Computer science,Evolutionary computation,Theoretical computer science,Evolution strategy,Human behavior,Artificial intelligence,Operator (computer programming),Evolutionary programming,Machine learning | Conference |
Volume | ISSN | Citations |
10385 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kei Ohnishi | 1 | 39 | 17.71 |
| Junya Okano | 2 | 0 | 0.34 |
| Mario Koeppen | 3 | 7 | 2.62 |