Research Article
Design and Optimization of Capacitated Supply Chain Networks Including Quality Measures
Table 3
Heuristic parameters.
| Solution procedure | Heuristic parameters |
| SVRC1 | | | | | | SVRC2 | | | | | | SSA1 | neigsize = [0.45 0.45 0.1 size (PS, 1)] | | | Accep/MaxTrials = 30 | MaxChains = 3 | SSA2 | neigsize = [0.1 size (PS, 1)] neigsize == [0.3 size (PS, 1)] for , classes II and III | | | Accep/MaxTrials = 30; 50 for class I; and 80 for classes II and III | MaxChains = 2 | SSA3 | neigsize = neigsize == for , classes II and III | | | Accep/MaxTrials = 30; 50 for class I; and 80 for classes II and III | MaxChains = 2 | SGA1 | pm = 0.01 | pc = 0.95 | gen = 20 | pop = 20% of PS | | SGA2 | pm = 0.01 | pc = 0.95 | gen = 10 | pop = 10% of PS | | SGA3 | pm = 0.01 | pc = 0.95 | gen = 10 | pop = 10% of PS | |
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Note: for the size, SGA2 and SGA3 have gen = 25 and pop = 120 individuals. The number of runs was decreased from 5 to 3.
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