Beyond Hyper-Heuristics: A Squared Hyper-Heuristic Model for Solving Job Shop Scheduling Problems
Author:
Affiliation:
1. School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Nuevo Leon, Mexico
Funder
Consejo Nacional de Ciencia y Tecnología (CONACyT) Basic Science Project
Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM) Research Group with Strategic Focus in Intelligent Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09761896.pdf?arnumber=9761896
Reference62 articles.
1. A meta-heuristic to solve the just-in-time job-shop scheduling problem
2. Several variants of simulated annealing hyper-heuristic for a single-machine scheduling with two-scenario-based dependent processing times
3. Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem
4. Dynamic scheduling of manufacturing systems: a product-driven approach using hyper-heuristics
5. Genetic programming-based hyper-heuristic approach for solving dynamic job shop scheduling problem with extended technical precedence constraints
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