Biology-Derived Algorithms in Engineering Optimization

Details Biology-Derived Algorithms in Engineering Optimization Biology-Derived Algorithms in Engineering Optimization

2010-03-09

arxiv.org/abs/1003.1888v1

Yang X.-S., Biology-derived algorithms in engineering optimization (chapter 32), in: Handbook of Bioinspired Algorithms and Ap

Mathematics

Optimization and Control

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Biology-Derived Algorithms in Engineering Optimization does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Biology-Derived Algorithms in Engineering Optimization, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Biology-Derived Algorithms in Engineering Optimization will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-455052