Improvement Analysis and Application of Real-Coded Genetic Algorithm for Solving Constrained Optimization Problems

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/mpe/volume-2018/5760841/figures/5760841.fig.003a.svgz" name="5760841.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Both parents are in the infeasible region</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/mpe/volume-2018/5760841/figures/5760841.fig.003b.svgz" name="5760841.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>One parent is in the feasible region and the other one is in the infeasible region</td></tr><tr class="fig-image" id="c"><td><object data="https://static-preview.hindawi.com/articles/mpe/volume-2018/5760841/figures/5760841.fig.003c.svgz" name="5760841.fig.003c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Both parents are in the feasible region.</td></tr></table>

<div>Schematic diagrams of HNDX operation in three cases in a two-dimensional space.</div>

Mathematical Problems in Engineering

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Figure 3

Figure 3: Improvement Analysis and Application of Real-Coded Genetic Algorithm for Solving Constrained Optimization Problems 