Deadline extended for special issue on Metaheuristics for Large Scale Data Mining

The deadline for the special issue on Metaheuristics for Large Scale Data Mining to be published by Springer’s Memetic Computing Journal has been extended till May 31, 2009. More information can be found in this post at LCS & GBML Central.

Apr 7, 2009 · 1 min · 41 words · Xavier Llorà

Communication gap management for fertile community

by Naohiro Matsumura, David E. Goldberg, and Xavier Llorà (2006). Journal of Soft Computing, Volume 11 , Issue 8, pp. 791–798, ACM press. Link to the ACM portal. Initial work also available as IlliGAL TR No 2005001. Abstract In the paper, we first present an approach to extract social networks from message boards on the Internet. Then we propose communication gaps based on structural features of the social networks as an indicator of understanding the state of communication....

Mar 24, 2007 · 1 min · 130 words · Xavier Llorà

Toward routine billion-variable optimization using genetic algorithms

by Goldberg, D. E., Sastry, K., and Llorà X. (2007). Complexity, 12(3), 27—29. Link to the PDF. Abstract: The push for better understanding and design of complex systems requires the solution of challenging optimization problems with large numbers of decision variables. This note presents principled results demonstrating the scalable solution of a difficult test function on instances over a billion variables using a parallel implementation of a genetic algorithm (GA). The problem addressed is a noisy, blind problem over a vector of binary decision variables....

Jan 18, 2007 · 1 min · 173 words · Xavier Llorà

E2K: Evolution to knowledge

by Xavier Llorà (2006). ACM SIGEvolution, Volume 1 , Issue 3, pp. 10-17. Link to the Journal. Abstract Evolution to Knowledge (E2K) is a set of Data to Knowledge (D2K) modules and itineraries that perform genetic algorithms (GA) and genetics-based machine learning (GBML) related tasks. The goal of E2K is to fold: simplify the process of building GA/GBML related tasks, and provide a simple exploratory workbench for the evolutionary computation community to help users to interact with evolutionary processes....

Sep 13, 2006 · 1 min · 139 words · Xavier Llorà

Innovation and creativity support via chance discovery, genetic algorithms, and data mining

by Xavier Llorà and David E. Goldberg, Yukio Ohsawa, Naohiro Matsumura, Yuichi Washida, Hiroshi Tamura, Masataka Yoshikawa, Michael Welge, Loretta Auvil, Duane Searshmith, Kei Ohnishi, and Chen-Ju Chao (2006). New Mathematics and Natural Computation, World Scientific, pp. 2(1):85–100. Link to the Journal publication. Abstract Creativity protocols and methodologies tend to be time consuming if applied manually. This paper presents how information technologies can support innovation and creativity for collaborative scenario creation and discussion....

Mar 1, 2006 · 1 min · 138 words · Xavier Llorà