Multiobjective State Space Search
Pallab Dasgupta, P. P. Chakrabarti, S.C. DeSarkar · 1999
The multiobjective search model appears to be an interesting general framework for solving multicriteria optimization problems. However several practical aspects need to be considered before actually applying the scheme to real world problems. For the conventional search model, extensive work has been done on developing feasible and effective search strategies. Algorithmic improvements on the basic search strategies such as A * have also been suggested. The effect of different types of heuristics have been investigated to cover a broader spectrum of search problems. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.