On the Application of Bio-inspired Algorithms in Timetabling Problem

Timetabling is a classical problem discussed extensively in the literature due to the widespread need for quality timetables. Most educational institutions still prepare their timetables manually, which is a highly time-consuming process and subject to errors. Several approaches to solve this proble...

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Bibliographic Details
Published inNeural Information Processing pp. 637 - 644
Main Authors Francisco, Daniela Oliveira, da Silva, Ivan Nunes
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2012
SeriesLecture Notes in Computer Science
Subjects
Artificial Immune Systems
Genetic Algorithms
Systems Optimization
Timetabling Problem
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ISBN9783642344862
3642344860
ISSN0302-9743
1611-3349
DOI10.1007/978-3-642-34487-9_77

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Summary:Timetabling is a classical problem discussed extensively in the literature due to the widespread need for quality timetables. Most educational institutions still prepare their timetables manually, which is a highly time-consuming process and subject to errors. Several approaches to solve this problem are also found in technical studies, which use stochastic search methods due to the problem’s complexity. The optimization strategies formulated and compared in this study are based on genetic algorithms and artificial immune systems. The proposed techniques provide quality solutions for the timetabling problem.
ISBN:9783642344862
3642344860
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-34487-9_77