Biology-Derived Algorithms in Engineering Optimization
Optimization and Control
2010-03-10 v1 Computational Engineering, Finance, and Science
Neural and Evolutionary Computing
Quantitative Methods
Abstract
Biology-derived algorithms are an important part of computational sciences, which are essential to many scientific disciplines and engineering applications. Many computational methods are derived from or based on the analogy to natural evolution and biological activities, and these biologically inspired computations include genetic algorithms, neural networks, cellular automata, and other algorithms.
Cite
@article{arxiv.1003.1888,
title = {Biology-Derived Algorithms in Engineering Optimization},
author = {Xin-She Yang},
journal= {arXiv preprint arXiv:1003.1888},
year = {2010}
}