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» Removing the Genetics from the Standard Genetic Algorithm
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TSE
2010
197views more  TSE 2010»
13 years 3 months ago
A Genetic Algorithm-Based Stress Test Requirements Generator Tool and Its Empirical Evaluation
Genetic algorithms (GAs) have been applied previously to UML-driven, stress test requirements generation with the aim of increasing chances of discovering faults relating to networ...
Vahid Garousi
GECCO
2007
Springer
345views Optimization» more  GECCO 2007»
14 years 2 months ago
A novel approach to automatic music transcription using electronic synthesis and genetic algorithms
This paper presents a novel approach to the problem of automatic music transcription using electronic synthesis with genetic algorithms. Although the problem is well known and diï...
Gustavo Reis, Francisco Fernández de Vega
AEI
1999
120views more  AEI 1999»
13 years 8 months ago
Genetic algorithms for designing multihop lightwave network topologies
Multihop lightwave networks are a means of utilizing the large bandwidth of optical fibers. In these networks, each node has a fixed number of transmitters and receivers connected...
Cenk Gazen, Cem Ersoy
GECCO
2005
Springer
101views Optimization» more  GECCO 2005»
14 years 2 months ago
A scalable parallel genetic algorithm for x-ray spectroscopic analysis
We use a parallel multi-objective genetic algorithm to drive a search and reconstruction spectroscopic analysis of plasma gradients in inertial conï¬nement fusion (ICF) implosion...
Kai Xu, Sushil J. Louis, Roberto C. Mancini
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
14 years 5 days ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin