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Journal ArticleDOI

Conference Seminar Timetabling

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TLDR
A heuristic method, incorporating an annealing algorithm, is developed to help the organizers timetable similar conferences in the future.
Abstract
Participants at a conference held in 1985 were asked to select seminars that they wished to attend, before the schedule of seminars was constructed The conference organizers were then faced with the problem of finding a timetable that would allow participants to attend the seminars they had chosen This interesting combinatorial optimization problem is investigated here A heuristic method, incorporating an annealing algorithm, is developed to help the organizers timetable similar conferences in the future

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Citations
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Journal ArticleDOI

Simulated annealing: A tool for operational research

TL;DR: The Simulated Annealing algorithm and the physical analogy on which it is based are described and suggestions are made for ways to improve the performance of the algorithm by modifying the ‘pure’ SA approach.
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A Survey of Automated Timetabling

TL;DR: A large number of variants of the timetabling problem have been proposed in the literature, which differ from each other based on the type of institution involved (university or school) and the types of constraints as mentioned in this paper.
Journal ArticleDOI

A survey of simulated annealing as a tool for single and multiobjective optimization

TL;DR: A comprehensive review of simulated annealing (SA)-based optimization algorithms, which solve single and multiobjective optimization problems, where a desired global minimum/maximum is hidden among many local minima/maxima.
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A survey of simulated annealing applications to operations research problems

TL;DR: This paper surveys the application of simulated annealing (SA) to operations research (OR) problems and concludes that SA is quite appropriate when the alternative solution method is based on enumeration.
Journal ArticleDOI

Operational Research in education

TL;DR: An overview of the diverse problems faced by government, managers and consumers of education, and the OR techniques which have typically been applied in an effort to improve operations and provide solutions is provided.
References
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Journal ArticleDOI

Optimization by Simulated Annealing

TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
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Algorithms for the Assignment and Transportation Problems

TL;DR: In this paper, algorithms for the solution of the general assignment and transportation problems are presen, and the algorithm is generalized to one for the transportation problem.
Journal ArticleDOI

Convergence of an annealing algorithm

TL;DR: In this paper, it is shown that the annealing algorithm converges with probability arbitrarily close to 1, and that it is no better than a deterministic method. But it is also shown that there are cases where convergence takes exponentially long.
Journal ArticleDOI

An extension of the Munkres algorithm for the assignment problem to rectangular matrices

TL;DR: The assignment problem, together with Munkres proposed algorithm for its solution in square matrices, is presented and an extension of this algorithm which permits a solution for rectangular matrices is developed.