Solving the Problem of Time, Cost, and Quality Trade-Off in Project Scheduling under Fuzzy Conditions Using Meta-Heuristic Algorithms

<table class="table-group" id="tab8"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Factors</td><td class="align_center">Optimum level</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">C<sub>2</sub></td><td class="align_center">0.6</td></tr><tr><td class="align_left">ITERATION</td><td class="align_center">3n</td></tr><tr><td class="align_left">W</td><td class="align_center">1.2</td></tr><tr><td class="align_left">POPSIZE</td><td class="align_center">2<i>n</i></td></tr><tr><td class="align_left">C<sub>1</sub></td><td class="align_center">1.2</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Optimal parameters and operators of PSO algorithm.</div>

Discrete Dynamics in Nature and Society

tab8

Table 8

Table 8: Solving the Problem of Time, Cost, and Quality Trade-Off in Project Scheduling under Fuzzy Conditions Using Meta-Heuristic Algorithms 