Search Result "Evolutionary operators"
A Brief Introduction to Evolutionary Algorithms and the Genetic Doping Algorithm
Ebook: Artificial Adaptive Systems in Medicine: New Theories and Models for New Applications in the Real World
Volume: 1 Year: 2009
Author(s): Massimo Buscema,Massimiliano Capriotti
Doi: 10.2174/978160805042010901010012
Evolutionary Algorithms
Ebook: Computational Intelligence, Evolutionary Computing and Evolutionary Clustering Algorithms
Volume: 1 Year: 2016
Author(s): Terje Kristensen
Doi: 10.2174/9781681082998116010004
Evolutionary Strategy Algorithms
Ebook: Multi-Objective Optimization In Theory and Practice II: Metaheuristic Algorithms
Volume: 1 Year: 2019
Author(s): Andre A. Keller
Doi: 10.2174/97816810870541190101
Evolutionary Computation and QSAR Research
Journal: Current Computer-Aided Drug Design
Volume: 9 Issue: 2 Year: 2013 Page: 206-225
Author(s): Vanessa Aguiar-Pulido,Marcos Gestal,Maykel Cruz-Monteagudo,Juan R. Rabunal,Julian Dorado,Cristian R. Munteanu
The Future of Data Analysis in Evolutionary Genomics
Journal: Current Genomics
Volume: 7 Issue: 4 Year: 2006 Page: 227-234
Author(s): Austin L. Hughes, Robert Friedman, Nancy L. Glenn
Significance of Evolutionary Artificial Intelligence: A Detailed Overview of the Concepts, Techniques, and Applications
Ebook: Artificial Intelligence, Machine Learning and User Interface Design
Volume: 1 Year: 2024
Author(s): Arun Kumar Singh
Doi: 10.2174/9789815179606124010004
Operational Factors that Can Help Manufacturing Firms Transition to Green Enterprises
Journal: Technology Transfer and Entrepreneurship (Discontinued)
Volume: 2 Issue: 1 Year: 2015 Page: 59-66
Author(s): Ramesh K. Agarwal
Decomposition-Based and Hybrid Evolutionary Algorithms
Ebook: Multi-Objective Optimization In Theory and Practice II: Metaheuristic Algorithms
Volume: 1 Year: 2019
Author(s): Andre A. Keller
Doi: 10.2174/97816810870541190101
Is the Evolutionary Programmed/ Non-programmed Aging Argument Moot?
Journal: Current Aging Science
Volume: 8 Issue: 1 Year: 2015 Page: 41-45
Author(s): Theodore C. Goldsmith
An Empirical View of Genetic Machine Learning based on Evolutionary Learning Computations
Ebook: Machine Learning Methods for Engineering Application Development
Volume: 1 Year: 2022
Author(s):
Doi: 10.2174/9879815079180122010008