Descending Deviation Optimization techniques for scheduling problems

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

• Type: Conference
• Year: 2008
• Where: ETFA
• Authors: Kevin McCarty, Milos Manic
• Keywords: Emerging Technology, ETFA 2008, Line Scheduling Entails, Local Search Techniques, State Employing Heuristics