Richard K. Belew
Also known as Rik Belew, Richard Belew
Richard Belew is an emeritus professor of cognitive science at UC San Diego whose work on adaptive systems spans genetic algorithms, connectionist learning and information retrieval. After a 1986 PhD at Michigan on adaptive information retrieval, he analyzed how evolution and learning interact and added culture as a third adaptive system in a 1989 report. He served as program co-chair of the 1991 International Conference on Genetic Algorithms at UC San Diego and co-edited Adaptive Individuals in Evolving Populations with Melanie Mitchell in 1996. A coauthor of the 1998 AutoDock paper on a Lamarckian genetic algorithm and of a 1999 PNAS paper on coevolving HIV-1 protease inhibitors, he also wrote Finding Out About, a book on search engines that Cambridge University Press published in 2000. He moved to the Cognitive Science department in 2002.
- Works
- 112
- Citations
- 41,797
- h-index
- 39
- Badges
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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1986
A Michigan doctorate
He earns a B.S. in mathematics from the University of Minnesota, then a master's degree and a PhD in Computer and Communication Sciences from the University of Michigan. His 1986 doctoral thesis, Adaptive Information Retrieval: Machine Learning in Associative Networks, is advised by Stephen Kaplan and Paul D. Scott.
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1989
Evolution, learning and culture
In October 1989, he announces UC San Diego technical report CS89-156, Evolution, Learning and Culture: Computational metaphors for adaptive algorithms, which analyzes the Hinton and Nowlan simulation of how the evolution of species and the learning of individuals interact. The report adds culture as a third adaptive system between individual learning and population evolution, and the work appears in the journal Complex Systems, volume 4, issue 1.
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1991–1996
Editing genetic algorithm volumes
He and Lashon B. Booker serve as program co-chairs and proceedings editors of the Fourth International Conference on Genetic Algorithms, held at UC San Diego in July 1991. In 1996, he and Melanie Mitchell edit Adaptive Individuals in Evolving Populations for Addison-Wesley, a volume that grows out of a Santa Fe Institute meeting in the summer of 1993 that gathers about 20 biologists, psychologists and computer scientists.
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1995–1999
Coevolution for HIV protease inhibitors
In 1995, he and Christopher D. Rosin publish "Methods for Competitive Co-Evolution: Finding Opponents Worth Beating" in the proceedings of the 6th International Conference on Genetic Algorithms. In 1999, he coauthors a PNAS paper with Rosin, Garrett M. Morris, Arthur J. Olson and David S. Goodsell that uses a coevolutionary method to design HIV-1 protease inhibitors that keep their efficacy as the protease mutates.
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1998–2009
AutoDock's Lamarckian genetic algorithm
In 1998, he is a coauthor of "Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function" in the Journal of Computational Chemistry, with Garrett M. Morris, David S. Goodsell, William E. Hart and others. In 2009, he coauthors the release of AutoDock4 and AutoDockTools4, which add limited flexibility in the receptor.
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2000
The book Finding Out About
Cambridge University Press publishes his book Finding Out About: A Cognitive Perspective on Search Engine Technology and the WWW in 2000. It follows the problem of identifying documents that help someone learn more about a topic, from building and evaluating a search engine to the question of what language means.
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2002
Move to Cognitive Science
He moves to the Cognitive Science department at UC San Diego in 2002.
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As of October 2026
Emeritus in Cognitive Science
He is an emeritus professor in the Department of Cognitive Science at UC San Diego, listed among its emeritus faculty.
Career
- Since 1987University of California, San DiegoEmeritus Professor
Education
- 1986University of MichiganMaster's degree in Computer and Communication Sciences
- University of MinnesotaB.S. in mathematics
Most-cited works
- AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
- Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function
- New Methods for Competitive Coevolution
- Automatic Combination of Multiple Ranked Retrieval Systems
- Dynamic Parameter Encoding for Genetic Algorithms
Sources and credits
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- Richard K. Belew | Hachette Book Group
- Richard Belew - The Mathematics Genealogy Project
- TR available: Evolution, Learning and Culture too! (Connectionists mailing list)
- Evolution, Learning, and Culture: Computational Metaphors for Adaptive Algorithms (Complex Systems)
- Proceedings of the Fourth International Conference on Genetic Algorithms (Kyushu University Library)
- Adaptive individuals in evolving populations: models and algorithms (Kyushu University Library)
- Rik Belew's Abstract: Adaptive Individuals in Evolving Populations: Models and Algorithms
- Rik Belew - Main
- Methods for Competitive Co-Evolution: Finding Opponents Worth Beating
- Coevolutionary analysis of resistance-evading peptidomimetic inhibitors of HIV-1 protease - PMC
- Entry Morris:1998:ADU from jcomputchem1990.bib
- AutoDock4 and AutoDockTools4: Automated Docking with Selective Receptor Flexibility - PMC
- Finding Out About
- Cognitive Science | UC San Diego General Catalog


