A comparison of discrete and continuous neural network approaches to solve the class/teacher timetabling problem.

DOI10.1016/S0377-2217(03)00099-7zbMath1053.90137OpenAlexW2050762864MaRDI QIDQ1417487

M. P. Carrasco, Margarida Pato

Publication date: 5 January 2004

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-2217(03)00099-7

zbMATH Keywords

Neural networksMetaheuristicsTimetabling

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (7)

A multi-objective evolutionary algorithm to exploit the similarities of resource allocation problems ⋮ A decomposed metaheuristic approach for a real-world university timetabling problem ⋮ Developing compact course timetables with optimized student flows ⋮ Mathematical models and algorithms for a high school timetabling problem ⋮ A survey of school timetabling research ⋮ An assignment problem and its application in education domain: a review and potential path ⋮ A simulated annealing with a new neighborhood structure based algorithm for high school timetabling problems

Uses Software

• OR-Library

Cites Work

• Unnamed Item
• An introduction to timetabling
• ``Neural computation of decisions in optimization problems
• Weighted graphs and university course timetabling
• Neural network methods in combinatorial optimization
• The combinatorics of timetabling
• Timetable construction with Markovian neural network
• A tabu search algorithm for computing an operational timetable
• Metaheuristics for high school timetabling
• School Timetabling—A Case in Large Binary Integer Linear Programming
• On the Complexity of Timetable and Multicommodity Flow Problems
• Timetabling for Greek high schools
• Neural Networks for Combinatorial Optimization: A Review of More Than a Decade of Research

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