A Hybrid Multiobjective Evolutionary Approach for Flexible Job-Shop Scheduling Problems

<table>The performance curve of MID for <svg height="11.125" id="M200" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 50.299999 11.125" width="50.299999" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,10.862)"><use xlink:href="#x31"></use></g><g transform="matrix(.017,-0,0,-.017,8.222,10.862)"><use xlink:href="#x35"></use></g><g transform="matrix(.017,-0,0,-.017,20.155,10.862)"><use xlink:href="#xD7"></use></g><g transform="matrix(.017,-0,0,-.017,33.907,10.862)"><use xlink:href="#x31"></use></g><g transform="matrix(.017,-0,0,-.017,42.066,10.862)"><use xlink:href="#x30"></use></g>
</svg> size test instance without release dates.</table>

Mathematical Problems in Engineering

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Figure 9

Figure 9: A Hybrid Multiobjective Evolutionary Approach for Flexible Job-Shop Scheduling Problems 