Tag Archives: genetic algorithms

An Evolutionary Computation Perspective at AAAI 2016

This post is by UT Austin grad student Elliot Meyerson  I spent February 12-17 in Phoenix at the 30th AAAI Conference on Artificial Intelligence. AAAI covers artificial intelligence “broadly conceived”, with focus on “traditional topics such as search, machine learning, planning, knowledge representation, reasoning, natural … Continue reading

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BEACON Researchers at Work: Combining Evolution and Engineering in Aquatic Robots

This week’s BEACON Researchers at Work blog post is by MSU Visiting Scholar René Draschwandtner. Guten Tag, god dag, and good day to all readers. I am René Draschwandtner, a visiting scholar from Salzburg, Austria, although I came to Michigan State … Continue reading

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BEACON Researchers at Work: Evolutionary Optimization and the Open Source Community

This week’s BEACON Researchers at Work blog post is by MSU graduate student Brian Goldman. I teach computers to be better at guess, check, and revise. At least, that is the short version of my research. More precisely, I develop optimization algorithms … Continue reading

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BEACON Researchers at Work: Teaching a Robot to Learn

This week’s BEACON Researchers at Work blog post is by University of Idaho graduate student Travis DeVault. I imagine it would be difficult to find someone working in the field of computer science that did not start with a love … Continue reading

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BEACON Researchers at Work: Using evolution to update old software

This week’s BEACON Researchers at Work blog post is by MSU graduate student Erik Fredericks. His first BEACON blog post is here. Engineers in industry are often given the somewhat daunting task of updating legacy software systems. Consider, for a … Continue reading

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BEACON Researchers at Work: Improving Search Quality in Genetic Programming

This week’s BEACON Researcher at Work blog post is by MSU graduate student Armand Burks. About Me As a young “army brat,” I was always fascinated with learning how things worked. Trying to figure out how my toys worked, I … Continue reading

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BEACON Researchers at Work: Evolution makes software adaptive

This week’s BEACON Researchers at Work post is by MSU graduate student Chad Byers. Perhaps it is because 91% of US-based data center professionals checked “Yes” in a recent survey for whether their company had experienced an unplanned data outage in … Continue reading

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BEACON Researchers at Work: Constructing models for gene regulatory networks

This week’s BEACON Researchers at Work blog post is by North Carolina A&T graduate student Mina Moradi Kordmahalleh. The idea of bioinformatics and how an electrical engineer can work on this topic is quite new and interesting to me.  In … Continue reading

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Creating Life and Worlds: Solving Evolutionary Problems in the Digital World

This blog post was written by students in BEACON’s Fall 2013 Computational Science for Evolutionary Biologists course, taught by MSU faculty Titus Brown and graduate student Randy Olson. Blog post lead author: S. Kevin McCormick, with contributions from Zach Laubach, Nicolas Schmelling, Josephine … Continue reading

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BEACON Researchers at Work: What's a Genetic Algorithm?

This week’s BEACON Researchers at Work blog post is by MSU graduate student Matt Ryerkerk. A genetic algorithm is a method often used for optimization, or finding the best solution to a particular problem. When I first heard of genetic … Continue reading

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