Simulation Optimization for the Multihoist Scheduling Problem

<table class="table-group" id="tab8"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Characteristics</td><td class="align_center">MEDA by Pérez-Rodríguez and Hernández-Aguirre [<a href="/journals/acisc/2021/6639769/#B51" target="_blank">51</a>]</td><td class="align_center">MHEDA proposed</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Selection process</td><td class="align_center">Tournament process with Pareto-front</td><td class="align_center">Only Pareto-front</td></tr><tr><td class="align_left">Probability model for sequence vectors</td><td class="align_center">Mallows model</td><td class="align_center">Mallows model</td></tr><tr><td class="align_left">Probability model for operations vectors</td><td class="align_center">Marginal distribution</td><td class="align_center">Marginal distribution</td></tr><tr><td class="align_left">Simulation</td><td class="align_center">Not available</td><td class="align_center">Included</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Main differences and similarities between MHEDA and MEDA.</div>

Applied Computational Intelligence and Soft Computing

tab8

Table 8

Table 8: Simulation Optimization for the Multihoist Scheduling Problem 