Simulation Optimization for the Multihoist Scheduling Problem

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Processing sequence</td><td class="align_center">1st</td><td class="align_center">2nd</td><td class="align_center">3rd</td><td class="align_center">4th</td><td class="align_center">5th</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">Vector 1</td><td class="align_center"><span style="width: 14.141ptpx;"><svg height="11.927pt" id="M49" style="vertical-align:-3.291101pt" version="1.1" viewbox="-0.0498162 -8.6359 14.141 11.927" width="14.141pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M699 369C699 549 575 666 407 666C186 666 23 488 23 278C23 101 145 -16 312 -16C535 -16 699 153 699 369ZM600 373C600 210 500 19 321 19C186 19 120 129 120 272C120 450 232 631 399 631C541 631 600 522 600 373Z"></path></g><g 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<div>Members of the population as permutations.</div>

Applied Computational Intelligence and Soft Computing

tab3

Table 3

Table 3: Simulation Optimization for the Multihoist Scheduling Problem 