Using Multiple Criteria Optimization and Two-Stage Genetic Algorithms to Select a Population Management Strategy with Optimized Reliability

<div>Mixture plot showing the 35 optimal strategies selected for different weighting choices based on using the additive desirability function (DF). The 16 most robust strategies, which are optimal for at least 1% of the total weighting area, are labeled with index numbers.</div>

Complexity

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Figure 10

Figure 10: Using Multiple Criteria Optimization and Two-Stage Genetic Algorithms to Select a Population Management Strategy with Optimized Reliability 

Figure 10 | Using Multiple Criteria Optimization and Two-Stage Genetic Algorithms to Select a Population Management Strategy with Optimized Reliability 