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Output details

11 - Computer Science and Informatics

Edinburgh Napier University

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Output 25 of 46 in the submission

Output title

Learning to Solve Bin Packing Problems with an Immune Inspired Hyper-heuristic

Type

E - Conference contribution

DOI

10.7551/978-0-262-31709-2-ch126

Name of conference/published proceedings

Proceedings of ECAL 2013 - 12th European Conference on Artificial Life. MIT Press. 856 - 863

Volume number

Issue number

First page of article

856

ISSN of proceedings

Year of publication

2013

URL

Number of additional authors

Additional information

<22> The paper is significant in describing the first instance of a hyper-heuristic system that learns continuously over time, in contrast to previous work that either solves instances from scratch or requires periodic retraining. The system generates novel heuristics and exploits past history to provide efficient and effective solutions. Rigorously tested using a suite of 1370 problems. This is a recent paper (September 2013) now being applied to real-world instances of routing problems in collaboration with Optrak (optrak.com) through EPSRC funding EP/J021628/1

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract