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ITSSA
2006
116views more  ITSSA 2006»
13 years 7 months ago
A Genetic Programming Approach to Automated Test Generation for Object-Oriented Software
: This article proposes a new method for creating test software for object-oriented systems using a genetic programming approach. It is believed that this approach is advantageous ...
Arjan Seesing, Hans-Gerhard Groß
JCM
2006
144views more  JCM 2006»
13 years 7 months ago
Using Micro-Genetic Algorithms to Improve Localization in Wireless Sensor Networks
Wireless sensor networks are widely adopted in many location-sensitive applications including disaster management, environmental monitoring, military applications where the precise...
Vincent Tam, King-Yip Cheng, King-Shan Lui
JSW
2006
98views more  JSW 2006»
13 years 7 months ago
A Jxta Based Asynchronous Peer-to-Peer Implementation of Genetic Programming
Abstract-- Solving complex real-world problems using evolutionary computation is a CPU time-consuming task that requires a large amount of computational resources. Peerto-Peer (P2P...
Gianluigi Folino, Agostino Forestiero, Giandomenic...
NAR
2006
81views more  NAR 2006»
13 years 7 months ago
Visualizing syntenic relationships among the hemiascomycetes with the Yeast Gene Order Browser
The Yeast Gene Order Browser (YGOB) is an online tool designed to facilitate the comparative genomic visualization and appraisal of synteny within and between the genomes of seven...
Kevin P. Byrne, Kenneth H. Wolfe
AEI
2005
99views more  AEI 2005»
13 years 7 months ago
Comparison among five evolutionary-based optimization algorithms
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
Emad Elbeltagi, Tarek Hegazy, Donald E. Grierson