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Lina Biyinzika

Lina Biyinzika

2 years ago

Hello and Welcome back to this full course on Evolutionary Computation! In this post we will start Unit 6 of the course, Evolutionary Strategies. In the previous post we started and finished up Unit 5) Evolutionary Programming:

In this post we will cover the main differences between Evolutionary Strategies and standard Genetic Algorithms. We will also cover the main concepts of Evolutionary Strategies, namely the Plus and Comma Strategies for selection. To wrap up, we will apply our algorithm to find the Pareto-Front for a Multi-Objective Problem.

In addition, because Evolutionary Strategies is an extension of Evolutionary Programming, please see my previous post over Evolutionary Programming linked above.

  • Differences between Evolutionary Strategies and standard Genetic Algorithms
  • Selection Operators — Comma and Plus
  • Multi-Objective Problem Statement
  • Literature Paper: Multi-Objective Algorithm
  • Evolutionary Strategy Algorithm
  • Results
  • Code
  • Conclusion

#optimization #evolutionary-algorithms #genetic-algorithm #optimization-algorithms #pareto

Unit 6) Evolutionary Strategies — Finding the Pareto Front

towardsdatascience.com

Unit 6) Evolutionary Strategies — Finding the Pareto Front

In this post we will cover the main differences between Evolutionary Strategies and standard Genetic Algorithms. We will also cover the main concepts of Evolutionary Strategies, namely the **Plus** and **Comma** Strategies for selection. To wrap up, we will apply our algorithm to find the **Pareto-Front** for a **Multi-Objective Problem**.

1.10 GEEK