Sciweavers

GECCO
2010
Springer
188views Optimization» more  GECCO 2010»
13 years 8 months ago
Benchmarking real-coded genetic algorithm on noisy black-box optimization testbed
Originally, genetic algorithms were developed based on the binary representation of candidate solutions in which each conjectured solution is a fixed-length string of binary numb...
Thanh-Do Tran, Gang-Gyoo Jin
ICTAI
1997
IEEE
13 years 8 months ago
GA-Based Performance Analysis of Network Protocols
This paper tackles the problem of analyzing the correctness and performance of a computer network protocol. Given the complexity of the problem, no currently used technique is abl...
Mario Baldi, Fulvio Corno, Maurizio Rebaudengo, Gi...
RSCTC
2000
Springer
126views Fuzzy Logic» more  RSCTC 2000»
13 years 8 months ago
Evolutionary Parsing for a Probabilistic Context Free Grammar
Abstract. Classic parsing methods are based on complete search techniques to find the different interpretations of a sentence. However, the size of the search space increases expon...
Lourdes Araujo
GECCO
2000
Springer
168views Optimization» more  GECCO 2000»
13 years 8 months ago
A Fault-tolerant Multicast Routing Algorithm in ATM Networks
This paper presents a genetic algorithm based method to solve the capacity and routing assignment problem arising in the design of selfhealing networks using the Virtual Path (VP)...
Sam Kwong, S. S. Chan
GECCO
2000
Springer
13 years 8 months ago
Modeling GA Performance for Control Parameter Optimization
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...
Vincent A. Cicirello, Stephen F. Smith
GECCO
2006
Springer
122views Optimization» more  GECCO 2006»
13 years 8 months ago
Genetic algorithms are suitable for driving microbial ecosystems in desirable directions
The behavior of natural, biological ecosystems is for a large part determined by environmental conditions. It should therefore be possible to experimentally manipulate such condit...
Frederik P. J. Vandecasteele, Thomas F. Hess, Rona...
GECCO
2006
Springer
182views Optimization» more  GECCO 2006»
13 years 8 months ago
Distributed genetic algorithm for energy-efficient resource management in sensor networks
In this work we consider energy-efficient resource management in an environment monitoring and hazard detection sensor network. Our goal is to allocate different detection methods...
Qinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzh...
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 8 months ago
Identification of weak motifs in multiple biological sequences using genetic algorithm
Recognition of motifs in multiple unaligned sequences provides an insight into protein structure and function. The task of discovering these motifs is very challenging because mos...
Topon Kumar Paul, Hitoshi Iba
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
13 years 8 months ago
Characterizing large text corpora using a maximum variation sampling genetic algorithm
An enormous amount of information available via the Internet exists. Much of this data is in the form of text-based documents. These documents cover a variety of topics that are v...
Robert M. Patton, Thomas E. Potok
GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
13 years 8 months ago
A dynamically constrained genetic algorithm for hardware-software partitioning
In this article, we describe the application of an enhanced genetic algorithm to the problem of hardware-software codesign. Starting from a source code written in a high-level lan...
Pierre-André Mudry, Guillaume Zufferey, Gia...