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GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
13 years 9 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
GECCO
2007
Springer
228views Optimization» more  GECCO 2007»
14 years 2 months ago
Collective behavior based hierarchical XCS
This paper attempts to extend the XCS research by analyzing the impact of information exchange between XCS agents on classifier performance. Two types of information are exchange...
Matthew Gershoff, Sonia Schulenburg
IEEEMM
2006
64views more  IEEEMM 2006»
13 years 8 months ago
Hierarchical Layouts for Photo Libraries
A frequently-used layout for a collection of two-dimensional, fixed aspect-ratio objects, such as photo thumbnails, is the grid, in which rows and columns are configured to match ...
Jack Kustanowitz, Ben Shneiderman
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 8 months ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...
GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
14 years 1 months ago
Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions
Many non-cooperative settings that could potentially be studied using game theory are characterized by having very large strategy spaces and payoffs that are costly to compute. Be...
Ashish Sureka, Peter R. Wurman