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SIGADA
2004
Springer
14 years 22 days ago
Comparative analysis of genetic algorithm implementations
Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
Robert Soricone, Melvin Neville
ECIR
2010
Springer
13 years 5 months ago
Maximum Margin Ranking Algorithms for Information Retrieval
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...
Shivani Agarwal, Michael Collins
GECCO
2009
Springer
254views Optimization» more  GECCO 2009»
14 years 1 months ago
Agglomerative genetic algorithm for clustering in social networks
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ...
Marek Lipczak, Evangelos E. Milios
ICCD
1999
IEEE
130views Hardware» more  ICCD 1999»
13 years 11 months ago
Preference-Driven Hierarchical Hardware/Software Partitioning
In this paper, we present a hierarchical evolutionary approach to hardware/software partitioning for real-time embedded systems. In contrast to most of previous approaches, we app...
Gang Quan, Xiaobo Hu, Garrison W. Greenwood
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 1 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...