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Tag Archives: Evolutionary Applications
BEACON Researchers at Work: The Encoding Scheme based on Anchors for Scalable Multi-Objective Clustering Algorithms
This BEACON Researchers at Work blog post is by Dr. Shuwei Zhu, Prof. Lihong Xu and Prof. Erik D Goodman. BEACON’s Greenhouse research team, led by Prof. Lihong Xu (from Tongji University, China) and Prof. Erik D Goodman, has been … Continue reading
Posted in BEACON Researchers at Work
Tagged BEACON Researchers at Work, Evolutionary Applications, Evolutionary Computation, multi-objective optimization
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BEACON Researchers at Work: The “(M-1)+1” Framework of Generalized Pareto Dominance for Evolutionary Many-objective Optimization
This BEACON Researchers at Work blog post is by Dr. Shuwei Zhu, Prof. Lihong Xu, Prof. Erik D Goodman and Dr. Zhichao Lu. BEACON’s Greenhouse research team, led by Prof. Lihong Xu (from Tongji University, China) and Prof. Erik D Goodman, … Continue reading
Posted in BEACON Researchers at Work
Tagged Engineering, Evolutionary Applications, Evolutionary Computation, multi-objective optimization
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Evolution is the New Deep Learning
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Tagged big data, Computer Science, evolutionary algorithms, Evolutionary Applications, Evolutionary Computation, Repost
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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
Posted in BEACON in the News, BEACON Researchers at Work, Member Announcements
Tagged BEACON Researchers at Work, evolutionary algorithms, Evolutionary Applications, h-index
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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
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
BEACON Researchers at Work: Soft-bodied animals and soft-bodied robots
This week’s BEACON Researchers at Work blog post is by MSU graduate student Thassyo Pinto. In recent years, robots are becoming more accessible and almost an integral part of our lives. They are not seen as only industrial machines which … Continue reading
BEACON Activity in China
BEACON Director Erik Goodman just returned from a 13-day trip to China, where he met with BEACON-collaborating teams in Shanghai’s Tongji University and at Shantou University in Guangdong Province. In Shanghai, the Tongji researchers also met with MSU Horticulture Prof. … Continue reading
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
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