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15

ETFA
2008
IEEE

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Descending Deviation Optimization techniques for scheduling problems

13 years 6 months ago

Descending Deviation Optimization techniques for scheduling problems

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In factory automation, production line scheduling entails a number of competing issues. Finding optimal configurations often requires use of local search techniques. Local search looks for a goal state employing heuristics and random local "probes" in order to move from state to state. All local search techniques, however, suffer from problems with local maxima, i.e. have the potential of getting "stuck" in a suboptimal state. While

Kevin McCarty, Milos Manic

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Emerging Technology | ETFA 2008 | Line Scheduling Entails | Local Search Techniques | State Employing Heuristics |

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Added	19 Oct 2010
Updated	19 Oct 2010
Type	Conference
Year	2008
Where	ETFA
Authors	Kevin McCarty, Milos Manic

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