Sciweavers

GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
13 years 11 months ago
Isolating the benefits of respect
The three mechanisms of crossover are transmission, assortment, and respect. Of these three mechanisms, assortment (i.e. recombination) is traditionally viewed as the primary feat...
Stephen Chen, Gregory Pitt
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
13 years 11 months ago
MDGA: motif discovery using a genetic algorithm
Computationally identifying transcription factor binding sites in the promoter regions of genes is an important problem in computational biology and has been under intensive resea...
Dongsheng Che, Yinglei Song, Khaled Rasheed
GECCO
2005
Springer
182views Optimization» more  GECCO 2005»
13 years 11 months ago
Improving EAX with restricted 2-opt
Edge Assembly Crossover (EAX) is by far the most successful crossover operator in solving the traveling salesman problem (TSP) with Genetic Algorithms (GAs). Various improvements ...
Chen-hsiung Chan, Sheng-An Lee, Cheng-Yan Kao, Hua...
GECCO
2005
Springer
147views Optimization» more  GECCO 2005»
13 years 11 months ago
Adaptive sizing of populations and number of islands in distributed genetic algorithms
Deciding the appropriate population size and number of islands for distributed island-model genetic algorithms is often critical to the algorithm’s success. This paper outlines ...
Johan Berntsson, Maolin Tang
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
13 years 11 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
GECCO
2005
Springer
209views Optimization» more  GECCO 2005»
13 years 11 months ago
Genetic algorithm optimization of superresolution parameters
Superresolution is the process of producing a high resolution image from a collection of low resolution images. This process has potential application in a wide spectrum of fields...
Barry Ahrens
EVOW
2005
Springer
13 years 11 months ago
Design of Fast Multidimensional Filters Using Genetic Algorithms
A method for designing fast multidimensional filters using genetic algorithms is described. The filter is decomposed into component filters where coefficients can be sparsely sc...
Max Langer, Björn Svensson, Anders Brun, Mats...
EGC
2005
Springer
13 years 11 months ago
A Grid-Oriented Genetic Algorithm
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
Jose Herrera, Eduardo Huedo, Rubén S. Monte...
EGC
2005
Springer
13 years 11 months ago
A Service Oriented Architecture for Decision Making in Engineering Design
Abstract. Decision making in engineering design can be effectively addressed by using genetic algorithms to solve multi-objective problems. These multi-objective genetic algorithm...
Alex Shenfield, Peter J. Fleming
APN
2005
Springer
13 years 11 months ago
Genetic Process Mining
The topic of process mining has attracted the attention of both researchers and tool vendors in the Business Process Management (BPM) space. The goal of process mining is to discov...
Wil M. P. van der Aalst, Ana Karla A. de Medeiros,...