Tag Archives: evolutionary algorithms

Two BEACONites receive awards from Web of Science for their publication records

We are very excited to congratulate two amazing researchers, Amir Gandomi and Kalyanmoy Deb for their recent awards from Clarivate Analytics, formerly the Intellectual Property and Science business of Thomson Reuters, and owner of Web of Science. Amir Gandomi was named a 2017 Clarivate … Continue reading

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Interdisciplinarity in evolutionary science… and video game design.

This post is written by UI faculty Barrie Robison One year ago, my colleague Terry Soule and I embarked on a somewhat crazy idea – we wanted to make a video game built upon the principles of evolutionary biology. The two of … Continue reading

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Kalyanmoy Deb, BEACON’s Koenig Endowed Chair Professor, has crossed 100,000 citations

Kalyanmoy Deb, Koenig Endowed Chair Professor of Electrical and Computer Engineering and a BEACON member, has crossed 100,000 citation mark according to Google Scholar (https://scholar.google.com/citations?user=paTAXiIAAAAJ&hl=en). He is one of the two faculty members in the College of Engineering, and one … Continue reading

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Studying the Evolutionary Dynamics of Emergent Phenotypes

This post is written by MSU faculty Mark Reimers and Arend Hintze Let us marvel about the complexity of life for a moment. We have DNA transcribed into mRNA, just to get that translated into proteins, which metabolize, catabolize, or process … Continue reading

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Bio-inspired computation

BEACON Distinguished Postdoc Amir Gandomi was recently interviewed about his work in Zygote Quarterly, after his talk at the 1st NASA Biomimicry Summit and Education Forum, called “an uncommon event of cross-fertilization co-sponsored by the NASA Glenn Research Center, Great Lakes … Continue reading

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Pareto Improvement of Pareto-Based Multi-Objective Evolutionary Algorithms

This week’s BEACON Researchers at Work blog post is by Prof. Lihong Xu and Prof. Erik D. Goodman The Greenhouse research team of BEACON, led by Prof. Lihong Xu (from Tongji University, China) and Prof. Erik D. Goodman, has been … Continue reading

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Evolving Deep Neural Networks

This post is by UT Austin grad student Jason Liang Deep learning has revolutionized the field of machine learning in many ways. From achieving state-of-the-art results in many benchmarks and competitions to effectively exploiting the computational power of the cloud, … Continue reading

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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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Evolutionary signal processing and its application for brain information flow modeling

This post is by MSU PhD Candidate Jinyao Yan. There are two aspects of biomedical engineering which attract me: the quest for new knowledge, and its power for fostering innovation and promoting society’s development. These pursuits hold my heart; and I am … 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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