My intention with this article is to give an intuitive and non-technical introduction to the field of evolutionary algorithms, particularly with regards to optimisation. If I get you interested, I ...

Don’t want to learn about evolutionary algorithms the usual way, by generating sentences from random letters, or randomly placing pixels to generate the Mona Lisa? Then make your own evolutio… ...

Evolutionary computation (EC) incorporates evolutionary ideas into algorithms. These algorithms can be applied to problems of biological interest. They are interesting models for evolution, so ...

Moreover, the introduction of novel hybrid evolutionary algorithms for bi-objective problems, such as those addressing time and cost trade-offs in travelling salesman scenarios, has expanded the ...

'Evolutionary Algorithms' Mimic Natural Evolution In Silico And Lead To Innovative Solutions For Complex Problems Date: May 4, 2009 Source: ETH Zurich Summary: Constantly "re-rolling the dice ...

Does evolutionary computation ring a bell? In computer science, it’s the family of algorithms for global optimization inspired by biological evolution. Instead of following explicit mathematical ...

Cornell University. "Virtual, squishy creatures evolve to run using evolutionary algorithms." ScienceDaily. ScienceDaily, 23 April 2013. <www.sciencedaily.com / releases / 2013 / 04 / 130423135843 ...

An evolutionary algorithm takes something (such as a program), creates variations, keeps the best ones, and iterates on those. But evolution is unpredictable.

Throughout, the authors balance the impact of hardware (mechanism, sensor, actuator) and software (algorithms) in teaching robot autonomy. Rigorous and tested in the classroom, Introduction to ...