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About Hyper-Heuristics: Learning To Combine Simple Heuristics in Bin-Packing Problems
The document discusses using an evolutionary algorithm (EA) to learn a solution process for bin packing problems rather than directly solving individual problems. The EA would choose which of several simple heuristics to apply at each state of a problem to gradually transform it to a solved state. For some test problems with bin packing instances, none of the individual heuristics could find the optimal solution but the evolved solution process was able to find the optimal solution in over 78% of cases. The approach represents a new way to use EAs to learn a composite algorithm made up of simple heuristics to solve classes of problems rather than directly solving single problems.
Detailed Information
| Author: | ['robot8me'] |
|---|---|
| Publication Year: | 2010 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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