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Methods of adaptive and genetic search in production scheduling
| Authors: Gromov S.A. | Published: 28.08.2013 |
| Published in issue: #8(617)/2011 | |
| Category: Economics, Organization and Management at an Enterprise | |
| Keywords: production scheduling, scheduling theory, class NP-hard tasks, artificial intelligence methods, multi-gent systems, adaptation of software agents, genetic algorithms |
The article discusses the problems of the production scheduling process automation. A strict formulation of one practical scheduling problem is performed, the problems of its algorithmic complexity for scheduling are touched upon. The approaches to the problem to solve are proposed and investigated based on the artificial intelligence methods.