Optimization of Operation Sequencing in CAPP Using Superhybrid Genetic Algorithms-Simulated Annealing Technique

<table class="table-group" id="tab8"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td align="left"></td><td align="center">GA</td><td align="center"> SAT</td><td align="center">S-GENSAT</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td align="left">Optimal cost</td><td align="center">1350</td><td align="center">1300</td><td align="center">1200</td></tr><tr><td align="left">Computational time</td><td align="center">15</td><td align="center">13</td><td align="center">7</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

International Scholarly Research Notices

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Table 8

Table 8: Optimization of Operation Sequencing in CAPP Using Superhybrid Genetic Algorithms-Simulated Annealing Technique 