Name
Abstract | ||
|---|---|---|
The strengths and weaknesses of agent-based approaches and classical optimization tech- niques are analyzed and compared. Their appropriateness for dynamic distributed resource allocation is evaluated. We conclude that their properties are complementary and that it seems benecial to combine the approaches. Some suggestions of hybrid systems are sketched and two of these are implemented and evaluated in a case study and compared to pure agent- and optimization-based solutions. The case study concerns production and transportation de- cisions in a supply chain. In the hybrid systems, optimization was used for improving the agents' decision making capability, i.e. embedded optimization, and for creating a coarse plan used by the agents in order to improve the short term decisions. The results from the case study indicate that it is possible to capitalize both on the agents' ability of being reactive and on the ability of optimization techniques of nding high quality solutions. |
Year | Venue | Keywords |
|---|---|---|
2005 | EUMAS | computer science,hybrid system,supply chain |
Field | DocType | Citations |
Probabilistic-based design optimization,Industrial engineering,Computer science,Multi-objective optimization,Resource allocation,Supply chain,Artificial intelligence,Strengths and weaknesses,Hybrid system,Engineering optimization,Machine learning,Management science | Conference | 9 |
PageRank | References | Authors |
0.83 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jan A. Persson | 1 | 145 | 19.37 |
| Paul Davidsson | 2 | 315 | 53.19 |
| Stefan J. Johansson | 3 | 140 | 15.83 |
| Fredrik Wernstedt | 4 | 38 | 6.19 |