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An Investigation of Hyper-Heuristic Methods: A New Generation of Problems-Solvers

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Project Description

The project made significant advances in discovering new automated methods for combining heuristics to solve bin-packing problems, outperforming results obtained by any individual heuristic.

Advances were made using learning classifier systems and evolutionary algorithms to learn characteristics of problems and partial solutions, and map those characteristics to suitable heuristics.

The project results in many publications in conferences and as book-chapters,, including a best paper award at GECCO 02 for "Hyper-heurstics: learning to combine simple heuristics in bin-packing problems."

Status Project Complete
Funder(s) Engineering and Physical Sciences Research Council
Value £256,547.00
Project Dates Nov 1, 2000 - Jul 31, 2004


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