| Autor: |
Whitacre, James M., Abbass, Hussein A., Sarker, Ruhul, Bender, Axel, Baker, Stephen |
| Rok vydání: |
2009 |
| Předmět: |
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| Zdroj: |
Genetic And Evolutionary Computation Conference 2008, Pages 1081-1088 |
| Druh dokumentu: |
Working Paper |
| DOI: |
10.1145/1389095.1389293 |
| Popis: |
Capability planning problems are pervasive throughout many areas of human interest with prominent examples found in defense and security. Planning provides a unique context for optimization that has not been explored in great detail and involves a number of interesting challenges which are distinct from traditional optimization research. Planning problems demand solutions that can satisfy a number of competing objectives on multiple scales related to robustness, adaptiveness, risk, etc. The scenario method is a key approach for planning. Scenarios can be defined for long-term as well as short-term plans. This paper introduces computational scenario-based planning problems and proposes ways to accommodate strategic positioning within the tactical planning domain. We demonstrate the methodology in a resource planning problem that is solved with a multi-objective evolutionary algorithm. Our discussion and results highlight the fact that scenario-based planning is naturally framed within a multi-objective setting. However, the conflicting objectives occur on different system levels rather than within a single system alone. This paper also contends that planning problems are of vital interest in many human endeavors and that Evolutionary Computation may be well positioned for this problem domain. |
| Databáze: |
arXiv |
| Externí odkaz: |
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