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KDD
2000
ACM
129views Data Mining» more  KDD 2000»
13 years 11 months ago
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
Siddhartha Bhattacharyya
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
14 years 1 months ago
CGP visits the Santa Fe trail: effects of heuristics on GP
GP uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees, and GP searches t...
Cezary Z. Janikow, Christopher J. Mann
EAAI
2006
189views more  EAAI 2006»
13 years 7 months ago
Evolutionary algorithms for VLSI multi-objective netlist partitioning
The problem of partitioning appears in several areas ranging from VLSI, parallel programming, to molecular biology. The interest in finding an optimal partition especially in VLSI ...
Sadiq M. Sait, Aiman H. El-Maleh, Raslan H. Al-Aba...
ECAL
1995
Springer
13 years 11 months ago
Contemporary Evolution Strategies
After an outline of the history of evolutionary algorithms, a new ( ) variant of the evolution strategies is introduced formally. Though not comprising all degrees of freedom, it i...
Hans-Paul Schwefel, Günter Rudolph
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
13 years 11 months ago
The role of diverse populations in phylogenetic analysis
The most popular approaches for reconstructing phylogenetic trees attempt to solve NP-hard optimization criteria such as maximum parsimony (MP). Currently, the bestperforming heur...
Tiffani L. Williams, Marc L. Smith