Results 31 to 40 of about 382,168 (278)
Chaos in a System with an Absolute Nonlinearity and Chaos Synchronization
A system with an absolute nonlinearity is studied in this work. It is noted that the system is chaotic and has an adjustable amplitude variable, which is suitable for practical uses.
Victor Kamdoum Tamba +3 more
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Non-uniform cellular genetic algorithms [PDF]
In this paper, we introduce the concept of non-uniform cellular genetic algorithm, in which a number of parameters that affect the operation of genetic operators is dependent on the location of the cells of a given cellular space.
N. M. Ershov
doaj +1 more source
Regularized Evolutionary Algorithm for Dynamic Neural Topology Search
Designing neural networks for object recognition requires considerable architecture engineering. As a remedy, neuro-evolutionary network architecture search, which automatically searches for optimal network architectures using evolutionary algorithms ...
Iacca, Giovanni +3 more
core +1 more source
A Chaotic System with Infinite Equilibria and Its S-Box Constructing Application
Systems with many equilibrium points have attracted considerable interest recently. A chaotic system with a line equilibrium has been studied in this work. The system has infinite equilibria and exhibits coexisting chaotic attractors.
Xiong Wang +5 more
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Algorithmicity of Evolutionary Algorithms
In the first part of our article we will refer the penetration of scientific terms into colloquial language, focusing on the sense in which the concept of an algorithm currently functions outside its original scope.
Leciejewski Sławomir +1 more
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In mining and civil engineering applications, a reliable and proper analysis of ground vibration due to quarry blasting is an extremely important task. While advances in machine learning led to numerous powerful regression models, the usefulness of these
Hong Zhang +5 more
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Combination of Evolutionary Algorithms with Experimental Design, Traditional Optimization and Machine Learning [PDF]
Evolutionary algorithms alone cannot solve optimization problems very efficiently since there are many random (not very rational) decisions in these algorithms.
Zhang, Qingfu
core
Evolutionary algorithms for dynamic optimization problems: workshop preface [PDF]
Copyright @ 2005 ...
Branke, J, Yang, S
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Tumor mutational burden as a determinant of metastatic dissemination patterns
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal +4 more
wiley +1 more source
Investigating the Applications of Machine Learning Techniques to Predict the Rock Brittleness Index
Despite the vast usage of machine learning techniques to solve engineering problems, a very limited number of studies on the rock brittleness index (BI) have used these techniques to analyze issues in this field.
Deliang Sun +6 more
doaj +1 more source

