Multiobjective Optimized Dispatching for Integrated Energy System Based on Hierarchical Progressive Parallel NSGA-II Algorithm

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left" colspan="2">Parallel acceleration position in the algorithm</td><td class="align_center">Ideal speedup ratio</td><td class="align_center">Average test results</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left" rowspan="2">CPU dual-core parallel acceleration</td><td class="align_center">Nondominated layer merge sorting section</td><td class="align_center">2</td><td class="align_center">1.834</td></tr><tr><td class="align_center">Calling target reaching method to achieve rapid convergence section</td><td class="align_center">2</td><td class="align_center">1.668</td></tr><tr><td class="align_left">GPU + CPU cooperative processing acceleration</td><td class="align_center">Population crossover and mutation operations</td><td class="align_center">—</td><td class="align_center">1.082</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Algorithmic acceleration test results using parallel computing technology.</div>

Mathematical Problems in Engineering

tab7

Table 7

Table 7: Multiobjective Optimized Dispatching for Integrated Energy System Based on Hierarchical Progressive Parallel NSGA-II Algorithm 