Benchmark Functions with Python - Gao, Zheng-Ming; Zhao, Juan
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We use benchmark functions carrying on the simulation experiments to verify the capability of optimization algorithms. However, some of the benchmark functions are easy to optimize, some of them not. The difference would rely mostly on the modality, scalability, separability, peak¿s flat-likeness, together with their symmetry characteristics. In this book, we collect 168 benchmark functions involved in literature and classify them into several types. Codes with Python programming language would also given in tables, and the three-dimensional profile would shown in figures.

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Produktbeschreibung
We use benchmark functions carrying on the simulation experiments to verify the capability of optimization algorithms. However, some of the benchmark functions are easy to optimize, some of them not. The difference would rely mostly on the modality, scalability, separability, peak¿s flat-likeness, together with their symmetry characteristics. In this book, we collect 168 benchmark functions involved in literature and classify them into several types. Codes with Python programming language would also given in tables, and the three-dimensional profile would shown in figures.
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Autorenporträt
Zheng-Ming GAO, born in 1979. He is now a lecture in school of computer engineering, Jingchu University of technology located at Jingmen, China. He graduated from the engineering university of Rocket Force in 2010 for the doctor degree of philosophy.