Crossover versus Mutation: A Comparative Analysis of the Evolutionary Strategy of Genetic Algorithms Applied to Combinatorial Optimization Problems

<table>Example of a <svg height="11.225" id="M44" style="vertical-align:-0.3135pt" version="1.1" viewbox="0 0 33.974998 11.225" width="33.974998" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg> instance for the NQP.</table>

The Scientific World Journal

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Figure 3

Figure 3: Crossover versus Mutation: A Comparative Analysis of the Evolutionary Strategy of Genetic Algorithms Applied to Combinatorial Optimization Problems 

Figure 3 | Crossover versus Mutation: A Comparative Analysis of the Evolutionary Strategy of Genetic Algorithms Applied to Combinatorial Optimization Problems 