An Architecture for Solving Sequencing and Resource Allocation Problems Using Approximation Methods

In the search for better optimisation techniques, new methods that mix artificial intelligence and operations research have emerged. Search heuristics are integrated with optimisation algorithms. Approximation methods, like Hill Climbing, Simulated Annealing, and Tabu Search, that have been used wit...

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Bibliographic Details
Published in:	The Journal of the Operational Research Society Vol. 49; no. 1; pp. 52 - 65
Main Authors:	Nussbaum, M., Sepúlveda, M., Singer, M., Laval, E.
Format:	Journal Article
Language:	English
Published:	Basingstoke Macmillan Press 01.01.1998 Palgrave Taylor & Francis Ltd
Subjects:	Applied sciences Approximation Artificial intelligence Budget allocation Exact sciences and technology Expert systems Flows in networks. Combinatorial problems Heuristic Heuristics Neighborhoods Operational research and scientific management Operational research. Management science Operations research Optimization Optimization techniques Problem solving Resource allocation Scheduling Sequencing Sequential scheduling Statistical analysis Taboos Theoretical Papers Search strategy Approximation Architecture User interface Combinatorial problem Resource allocation Heuristic method Knowledge base Artificial intelligence Sequencing Optimization
ISSN:	0160-5682, 1476-9360, 0160-5682
Online Access:	Get full text
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