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Kheiri et al., 2015 - Google Patents

A sequence-based selection hyper-heuristic utilising a hidden Markov model

Kheiri et al., 2015

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Document ID
17522933944183419492
Author
Kheiri A
Keedwell E
Publication year
Publication venue
Proceedings of the 2015 annual conference on genetic and evolutionary computation

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Snippet

Selection hyper-heuristics are optimisation methods that operate at the level above traditional (meta-) heuristics. Their task is to evaluate low level heuristics and determine which of these to apply at a given point in the optimisation process. Traditionally this has …
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    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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    • G—PHYSICS
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    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
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