Name
Abstract | ||
|---|---|---|
The paper proposes a conflict resolution strategy based on optimization. In concurrent design based on a constraint network, designers determine the parameters within their advantageous intervals by their experience and preference, which results in frequent conflicts. A conflict relaxation model is designed to meet the conflict resolution requirements, which extends the conflict degree to a continuous state from the on-off condition of satisfy and conflict, then builds an objective describing the present conflict degree. As opposed to the traditional fuzzy programming methods, the method determines the conflict bottleneck and solves it at the least cost of design interval changes with the extendability of the design intervals. With constraint network, the quantitative effect of the downstream constraints can be considered before determining the design parameters. Furthermore, potential conflicts can be solved to avoid significant redesign. A bogie design example illustrates the usefulness of the method. |
Year | DOI | Venue |
|---|---|---|
2001 | null | 2001 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: E-SYSTEMS AND E-MAN FOR CYBERNETICS IN CYBERSPACE |
Keywords | Field | DocType |
concurrent design, conflict solving, genetic algorithm, constraint network | Conflict resolution strategy,Bottleneck,Mathematical optimization,Concurrent engineering,Computer science,Constraint theory,Conflict resolution,Minimisation (psychology),Fuzzy programming,Bogie,Artificial intelligence,Machine learning | Conference |
Volume | Issue | ISSN |
3 | null | 1062-922X |
Citations | PageRank | References |
1 | 0.37 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tao Li | 1 | 1 | 0.37 |
| Guangleng Xiong | 2 | 6 | 3.75 |