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<p>The Vanderbilt Schedule Optimizer Prototype (VSOP), which uses genetic algorithms as search methods for job shop scheduling problems, is discussed. A job shop is a facility that produces goods according to prespecified process plans, under several domain-dependent and common sense constraints. The scheduling of orders in a job shop is a multifaceted problem. VSOP uses domain-specific chromosome representations, recombination operators, and local enumerative search to increase efficiency. Experimental results from a fully implemented VSOP package are presented.</p>
Serdar Uckun, Sugato Bagchi, Kazuhiko Kawamura, Yutaka Miyabe, "Managing Genetic Search in Job Shop Scheduling", IEEE Intelligent Systems, vol. 8, no. , pp. 15-24, October 1993, doi:10.1109/64.236477
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