Practice and Theory of Automated Timetabling II Second International Conference, PATAT'97, Toronto, Canada, August 20 - 22, 1997, Selected Papers /
Practice and Theory of Automated Timetabling II Second International Conference, PATAT'97, Toronto, Canada, August 20 - 22, 1997, Selected Papers / [electronic resource] :
edited by Edmund Burke, Michael Carter.
- 1st ed. 1998.
- XII, 280 p. online resource.
- Lecture Notes in Computer Science, 1408 1611-3349 ; .
- Lecture Notes in Computer Science, 1408 .
Recent developments in practical course timetabling -- Space allocation: An analysis of higher education requirements -- Off-the-peg or made-to-measure? timetabling and scheduling with SA and TS -- Generalized assignment-type problems a powerful modeling scheme -- An examination scheduling model to maximize students’ study time -- A comparison of annealing techniques for academic course scheduling -- Some observations about GA-based exam timetabling -- Experiments on networks of employee timetabling problems -- Evolutionary optimisation of methodist preaching timetables -- Improving a lecture timetabling system for university-wide use -- A constraint-based approach for examination timetabling using local repair techniques -- Generating complete university timetables by combining tabu search with constraint logic -- Construction of basic match schedules for sports competitions by using graph theory -- A standard data format for timetabling instances -- Academic scheduling -- The implementation of a central timetabling system in a large British civic University -- A brute force and heuristics approach to tertiary timetabling.
This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Conference on the Practice and Theory of Automated Timetabling, PATAT'97, held in Toronto, Canada, in August 1997. The 17 revised full papers presented were carefully selected for presentation at the conference and then had to pass a second round of reviewing. The book is divided into topical sections on surveys, tabu search and simulated annealing, evolutionary computation (population-based methods), constraint-based methods, graph theory, and practical issues.
9783540498032
10.1007/BFb0055877 doi
Algorithms.
Computer science.
Production management.
Artificial intelligence.
Business information services.
Computer science--Mathematics.
Discrete mathematics.
Algorithms.
Theory of Computation.
Operations Management.
Artificial Intelligence.
IT in Business.
Discrete Mathematics in Computer Science.
QA76.9.A43
518.1
Recent developments in practical course timetabling -- Space allocation: An analysis of higher education requirements -- Off-the-peg or made-to-measure? timetabling and scheduling with SA and TS -- Generalized assignment-type problems a powerful modeling scheme -- An examination scheduling model to maximize students’ study time -- A comparison of annealing techniques for academic course scheduling -- Some observations about GA-based exam timetabling -- Experiments on networks of employee timetabling problems -- Evolutionary optimisation of methodist preaching timetables -- Improving a lecture timetabling system for university-wide use -- A constraint-based approach for examination timetabling using local repair techniques -- Generating complete university timetables by combining tabu search with constraint logic -- Construction of basic match schedules for sports competitions by using graph theory -- A standard data format for timetabling instances -- Academic scheduling -- The implementation of a central timetabling system in a large British civic University -- A brute force and heuristics approach to tertiary timetabling.
This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Conference on the Practice and Theory of Automated Timetabling, PATAT'97, held in Toronto, Canada, in August 1997. The 17 revised full papers presented were carefully selected for presentation at the conference and then had to pass a second round of reviewing. The book is divided into topical sections on surveys, tabu search and simulated annealing, evolutionary computation (population-based methods), constraint-based methods, graph theory, and practical issues.
9783540498032
10.1007/BFb0055877 doi
Algorithms.
Computer science.
Production management.
Artificial intelligence.
Business information services.
Computer science--Mathematics.
Discrete mathematics.
Algorithms.
Theory of Computation.
Operations Management.
Artificial Intelligence.
IT in Business.
Discrete Mathematics in Computer Science.
QA76.9.A43
518.1