Using μ Genetic Algorithms for Hyper-heuristic Development: A Preliminary Study on Bin Packing Problems-Reference-Cited by-同舟云学术

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Using μ Genetic Algorithms for Hyper-heuristic Development: A Preliminary Study on Bin Packing Problems

Published:2023-11-25 Issue: Volume:1 Page:54-58
ISSN:
Container-title:2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI)
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Author:

Ortiz-Bayliss José C.¹,Juárez Julio¹,Falcón-Cardona Jesús Guillermo¹

Affiliation:

1. Tecnologico de Monterrey, School of Engineering and Sciences,Monterrey,Mexico,64849

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10458436/10458437/10458597.pdf?arnumber=10458597

Reference29 articles.

1. An improved nature inspired meta-heuristic algorithm for 1-D bin packing problems

2. Evolving reusable 3d packing heuristics with genetic programming

3. Batched Mode Hyper-heuristics

4. CHAMP: Creating heuristics via many parameters for online bin packing

5. Generating SAT Local-Search Heuristics Using a GP Hyper-Heuristic Framework

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