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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 10 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
GECCO
2007
Springer
147views Optimization» more  GECCO 2007»
15 years 10 months ago
GAINS: genetic algorithms for increasing net sales of a mobile reverse demand communication system
In this paper, I describe MRDCOM, a mobile reverse-demand communication system for the pizza industry. The web-based system will support student (buyer) sign-up and will be capabl...
Michael Henry Wolk
SIGECOM
2006
ACM
138views ECommerce» more  SIGECOM 2006»
15 years 10 months ago
Bid expressiveness and clearing algorithms in multiattribute double auctions
We investigate the space of two-sided multiattribute auctions, focusing on the relationship between constraints on the offers traders can express through bids, and the resulting c...
Yagil Engel, Michael P. Wellman, Kevin M. Lochner
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 9 months ago
Stress testing real-time systems with genetic algorithms
Reactive real-time systems have to react to external events within time constraints: Triggered tasks must execute within deadlines. The goal of this article is to automate, based ...
Lionel C. Briand, Yvan Labiche, Marwa Shousha
SAC
2004
ACM
15 years 9 months ago
A new algorithm for gap constrained sequence mining
The sequence mining problem consists in finding frequent sequential patterns in a database of time-stamped events. Several application domains require limiting the maximum tempor...
Salvatore Orlando, Raffaele Perego, Claudio Silves...