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100
Voted
GEM
2010
14 years 11 months ago
Revisiting Genetic Algorithms for the FPGA Placement Problem
In this work, we present a genetic algorithm framework for the FPGA placement problem. This framework is constructed based on previous proposals in this domain. We implement this f...
Peter Jamieson
90
Voted
DATESO
2010
150views Database» more  DATESO 2010»
14 years 11 months ago
Evolving Quasigroups by Genetic Algorithms
Abstract. Quasigroups are a well-known combinatorial design equivalent to more familiar Latin squares. Because all possible elements of a quasigroup occur with equal probability, i...
Václav Snásel, Jiri Dvorský, ...
111
Voted
SEAL
2010
Springer
14 years 11 months ago
Generating Sequential Space-Filling Designs Using Genetic Algorithms and Monte Carlo Methods
In this paper, the authors compare a Monte Carlo method and an optimization-based approach using genetic algorithms for sequentially generating space-filling experimental designs....
Karel Crombecq, Tom Dhaene
IAJIT
2010
94views more  IAJIT 2010»
14 years 11 months ago
Multiple Warehouses Scheduling Using Steady State. Genetic Algorithms
: Warehouses scheduling is the problem of sequencing requests of products to fulfill several customers’ orders so as to minimize the average time and shipping costs. In this pape...
Jalal Atoum, Mamoun Al Rababaa
130
Voted
GECCO
2010
Springer
338views Optimization» more  GECCO 2010»
14 years 11 months ago
Multiobjective evolutionary community detection for dynamic networks
A multiobjective genetic algorithm for detecting communities in dynamic networks, i.e., networks that evolve over time, is proposed. The approach leverages on the concept of evolu...
Francesco Folino, Clara Pizzuti
90
Voted
PR
2007
148views more  PR 2007»
15 years 17 days ago
Learning the best subset of local features for face recognition
We propose a novel, local feature-based face representation method based on twostage subset selection where the first stage finds the informative regions and the second stage ...
Berk Gökberk, M. Okan Irfanoglu, Lale Akarun,...
JIFS
2002
107views more  JIFS 2002»
15 years 22 days ago
Model selection via Genetic Algorithms for RBF networks
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
Estefane G. M. de Lacerda, André Carlos Pon...
117
Voted
ISCI
1998
193views more  ISCI 1998»
15 years 22 days ago
A Parallel Implementation of Genetic Programming that Achieves Super-Linear Performance
: This paper describes the successful parallel implementation of genetic programming on a network of processing nodes using the transputer architecture. With this approach, researc...
David Andre, John R. Koza
IPM
1998
111views more  IPM 1998»
15 years 22 days ago
Crossover Improvement for the Genetic Algorithm in Information Retrieval
- Genetic algorithms (GAs) search for good solutions to a problem by operations inspired from the natural selection of living beings. Among their many uses, we can count informatio...
Dana Vrajitoru
100
Voted
HEURISTICS
1998
252views more  HEURISTICS 1998»
15 years 22 days ago
Constraint Handling in Genetic Algorithms: The Set Partitioning Problem
In this paper we present a genetic algorithm-based heuristic for solving the set partitioning problem (SPP). The SPP is an important combinatorial optimisation problem used by man...
P. C. Chu, J. E. Beasley