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CN
2007
221views more  CN 2007»
14 years 9 months ago
Adaptive design optimization of wireless sensor networks using genetic algorithms
We present a multi-objective optimization methodology for self-organizing, adaptive wireless sensor network design and energy management, taking into consideration application-spe...
Konstantinos P. Ferentinos, Theodore A. Tsiligirid...
GECCO
2009
Springer
191views Optimization» more  GECCO 2009»
15 years 4 months ago
Evolvable malware
The concept of artificial evolution has been applied to numerous real world applications in different domains. In this paper, we use this concept in the domain of virology to ev...
Sadia Noreen, Shafaq Murtaza, M. Zubair Shafiq, Mu...
ICPR
2002
IEEE
15 years 10 months ago
Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition
This paper discusses the use of genetic algorithm for feature selection for handwriting recognition. Its novelty lies in the use of a multi-objective genetic algorithms where sens...
Luiz E. Soares de Oliveira, Robert Sabourin, Fl&aa...
IJCAI
1997
14 years 11 months ago
Evolvable Hardware for Generalized Neural Networks
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani...
IPPS
1999
IEEE
15 years 2 months ago
A Genetic-Based Fault-Tolerant Routing Strategy for Multiprocessor Networks
Abstract. We have investigated the adaptation of AI-based search techniques as topologyindependent fault-tolerant routing strategies on multiprocessor networks [9]. The results sho...
Peter K. K. Loh, Venson Shaw