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A hybrid self-adaptive bees algorithm for examination timetabling problems · Study

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ArticleA hybrid self-adaptive bees algorithm for examination timetabling problems

Salwani Abdullah2013

Article2013

A hybrid self-adaptive bees algorithm for examination timetabling problems

Salwani Abdullah · Malek Alzaqebah

43 citations·0/0 files stored·Applied Soft Computing

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Scheduling and Timetabling Solutions Metaheuristic Optimization Algorithms Research Scheduling and Optimization Algorithms

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References

1999A Survey of Automated Timetabling 2008A survey of search methodologies and automated system development for examination timetabling 1996Examination Timetabling: Algorithmic Strategies and Applications 1996A memetic algorithm for university exam timetabling 2009Setting the Research Agenda in Automated Timetabling: The Second International Timetabling Competition 1996The complexity of timetable construction problems 2009ITC2007 solver description: a hybrid approach 2004Solving Examination Timetabling Problems through Adaption of Heuristic Orderings

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2020A systematic mapping study on solving university timetabling problems using meta-heuristic algorithms

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2013An adaptive artificial bee colony and late-acceptance hill-climbing algorithm for examination timetablingarticle · 11 shared references 2011A hyperheuristic approach to examination timetabling problems: benchmarks and a new problem from practicearticle · 10 shared references 2010Monte Carlo hyper-heuristics for examination timetablingarticle · 9 shared references 2018A cellular memetic algorithm for the examination timetabling problemarticle · 9 shared references 2014Hybrid bee colony optimization for examination timetabling problemsarticle · 8 shared references 2013Memetic techniques for examination timetablingarticle · 8 shared references

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Year2013

Typearticle

Published2013-04-25

VenueApplied Soft Computing

ISSN-L1568-4946

Languageen

Citations43

Files0 public / 0

ShelfScheduling and Timetabling Solutions

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doi10.1016/j.asoc.2013.04.010

openalex_workW2024717258

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