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Evolutionary algorithms in theory and practice
TLDR
In this work, the author compares the three most prominent representatives of evolutionary algorithms: genetic algorithms, evolution strategies, and evolutionary programming within a unified framework, thereby clarifying the similarities and differences of these methods.About:
The article was published on 1996-01-01 and is currently open access. It has received 2679 citations till now. The article focuses on the topics: Evolutionary music & Evolutionary programming.read more
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Book ChapterDOI
Numerical Optimization for Advanced Turbomachinery Design
TL;DR: The multilevel-multidisciplinary-multipoint optimization system developed at the von Karman Institute and its applications to turboma-chinery design is presented and the basic method is illustrated by the design of an axial turbine blade.
Journal ArticleDOI
Local identification of prototypes for genetic learning of accurate TSK fuzzy rule‐based systems
TL;DR: This work presents the use of local fuzzy prototypes as a new idea to obtain accurate local semantics‐based Takagi–Sugeno–Kang (TSK) rules, using a two‐stage evolutionary algorithm based on MOGUL to consider the interaction between input and output variables.
Journal ArticleDOI
On the robustness of population-based versus point-based optimization in the presence of noise
Volker Nissen,J. Propach +1 more
TL;DR: This work addresses the robustness of population-based versus point-based optimization on a range of parameter optimization problems when noise is added to the deterministic objective function values and investigates the performance of these optimization methods for varying levels of additive normally distributed fitness-independent noise.
Journal ArticleDOI
Multi-method-modeling of interacting galaxies I. A unique scenario for NGC 4449?
TL;DR: In this article, the authors combined several N -body methods in order to investigate the interaction scenario between NGC 4449 and DDO 125, a close companion in projected space, and demonstrated that the observed features of the extended HI disc can be explained by a gravitational interaction between N GC 4449, and D DO 125, which is a stellar dynamical approach.
Proceedings ArticleDOI
On the selection of surrogate models in evolutionary optimization algorithms
TL;DR: This work compares four meta-modeling techniques, polynomial approximation, kriging, radial basis functions and support vector regression, in different aspects such as accuracy, robustness, efficiency, and scalability with the aim of selecting the most suitable one to be combined with evolutionary optimization algorithms.