Kriging as a surrogate fitness landscape in evolutionary optimization

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Abstract
Cite
RATLE, ALAIN. “Kriging As a Surrogate Fitness Landscape in Evolutionary Optimization”. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 15, no. 1, 2001, pp. 37-49, https://doi.org/10.1017/s0890060401151024.
RATLE, A. (2001). Kriging as a surrogate fitness landscape in evolutionary optimization. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 15(1), 37-49. https://doi.org/10.1017/s0890060401151024
RATLE A. Kriging as a surrogate fitness landscape in evolutionary optimization. Artificial Intelligence for Engineering Design, Analysis and Manufacturing. 2001;15(1):37-49.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Engineering (General)
Civil engineering (General)
Technology
Manufactures
Description

The study presents the use of kriging interpolation as a function approximation method for the construction of an internal model of the fitness landscape. This model is intended to guide the search process with a reduced number of fitness function evaluations.

This paper, published in Artificial Intelligence for Engineering Design, Analysis and Manufacturing, is relevant to the journal’s focus on computer science and engineering applications. By describing kriging interpolation for fitness search, the paper contributes to the field of computation.

Citations
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software 1 is the most commonly referenced area in studies that cite this article.