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- W593842314 abstract "It is demonstrated that when iterative-deepening A asterisk (IDA asterisk) is applied to one type of resource allocation problem, it uses far less storage than A asterisk, but opens far more nodes and thus has unacceptable time complexity. This is shown to be due, at least in part, to the low-valued effective branching factor that is a characteristic of problems with real-valued cost functions. The semi-optimal, epsilon-admissible IDA asterisk sub epsilon search algorithm that the authors described was shown to open fewer nodes than both A asterisk and IDA asterisk with storage complexity proportional to the depth of the search tree." @default.
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- W593842314 date "1987-11-01" @default.
- W593842314 modified "2023-09-22" @default.
- W593842314 title "Iterative-deepening heuristic search for optimal and semi-optimal resource allocation" @default.
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