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SIGECOM
2006
ACM
138views ECommerce» more  SIGECOM 2006»
16 years 1 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
2004
Springer
16 years 25 days ago
Designing Multiplicative General Parameter Filters Using Adaptive Genetic Algorithms
Multiplicative general parameter (MGP) approach to finite impulse response (FIR) filtering introduces a novel way to realize cost effective adaptive filters in compact very large s...
Jarno Martikainen, Seppo J. Ovaska
GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
16 years 25 days ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi
234
Voted
CEC
2009
IEEE
16 years 5 days ago
Automatic clustering with multi-objective Differential Evolution algorithms
—This paper applies the Differential Evolution (DE) algorithm to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It compares the performa...
Kaushik Suresh, Debarati Kundu, Sayan Ghosh, Swaga...
224
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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
16 years 2 days ago
TestFul: using a hybrid evolutionary algorithm for testing stateful systems
This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, t...
Matteo Miraz, Pier Luca Lanzi, Luciano Baresi