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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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Proceedings ArticleDOI
Control Flow Driven Splitting of Loop Nests at the Source Code Level
Heiko Falk,Peter Marwedel +1 more
TL;DR: A novel source code transformation for control flow optimization called loop nest splitting which minimizes the number of executed if-statements in loop nests of embedded multimedia applications to reduce runtimes and energy consumption is presented.
Differential evolution with competitive setting of control parameters
TL;DR: The competitive variants of differential evolution have proved to be more reliable and less time-consuming than the standard differential evolution and have also outperformed other tested algorithms in their reliability and convergence rate.
Book ChapterDOI
Evolutionary algorithms for the physical design of VLSI circuits
TL;DR: This work reviews evolutionary algorithms for physical design and observes and analyze the common traits of the superior contributions and discusses important requirements for evolutionary-based approaches for even greater acceptance within the VLSI community.
Journal ArticleDOI
Automatic construction of feedforward/recurrent fuzzy systems by clustering-aided simplex particle swarm optimization
TL;DR: A new approach for automating the structure and parameter learning of fuzzy systems by clustering-aided simplex particle swarm optimization, called CSPSO, which helps determine the number of rules automatically, but also avoids the generation of highly similar fuzzy sets on each input variable.
Journal ArticleDOI
Induction machine bearing faults detection based on a multi-dimensional MUSIC algorithm and maximum likelihood estimation.
TL;DR: A multi-dimensional MUSIC (MD MUSIC) algorithm has been developed for bearing faults detection based on bearing faults characteristic frequencies and an amplitude estimator of the fault characteristic frequencies has been proposed and fault indicator has been derived for fault severity measurement.