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AEI
1999
120views more  AEI 1999»
11 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
AIR
1998
103views more  AIR 1998»
11 years 8 months ago
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Abstract. Genetic algorithms play a significant role, as search techniques for handling complex spaces, in many fields such as artificial intelligence, engineering, robotic, etc...
Francisco Herrera, Manuel Lozano, José L. V...
EOR
2002
99views more  EOR 2002»
11 years 8 months ago
Network cost minimization using threshold-based discounting
We present a genetic algorithm for heuristically solving a cost minimization problem applied to communication networks with threshold based discounting. The network model assumes t...
Hrvoje Podnar, Jadranka Skorin-Kapov, Darko Skorin...
DPD
2002
163views more  DPD 2002»
11 years 8 months ago
Evolutionary Techniques for Web Caching
Web caching has been proposed as an effective solution to the problems of network traffic and congestion, Web objects access and Web load balancing. This paper presents a model for...
Athena Vakali
APIN
2000
120views more  APIN 2000»
11 years 8 months ago
Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes
Genetic algorithms are adaptive methods based on natural evolution that may be used for search and optimization problems. They process a population of search space solutions with t...
Francisco Herrera, Manuel Lozano
CORR
2004
Springer
81views Education» more  CORR 2004»
11 years 8 months ago
Optimizing genetic algorithm strategies for evolving networks
This paper explores the use of genetic algorithms for the design of networks, where the demands on the network fluctuate in time. For varying network constraints, we find the best...
Matthew J. Berryman, Andrew Allison, Derek Abbott
BMCBI
2004
97views more  BMCBI 2004»
11 years 8 months ago
Performance of a genetic algorithm for mass spectrometry proteomics
Background: Recently, mass spectrometry data have been mined using a genetic algorithm to produce discriminatory models that distinguish healthy individuals from those with cancer...
Neal O. Jeffries
APIN
2004
107views more  APIN 2004»
11 years 8 months ago
Designing Polymer Blends Using Neural Networks, Genetic Algorithms, and Markov Chains
In this paper we present a new technique to simulate polymer blends that overcomes the shortcomings in polymer system modeling. This method has an inherent advantage in that the v...
N. K. Roy, Walter D. Potter, D. P. Landau
MAM
2007
157views more  MAM 2007»
11 years 8 months ago
Executing large algorithms on low-capacity FPGAs using flowpath partitioning and runtime reconfiguration
This paper describes a new method of executing a software program on an FPGA for embedded systems. Rather than combine reconfigurable logic with a microprocessor core, this method...
Darrin M. Hanna, Michael DuChene
JUCS
2007
107views more  JUCS 2007»
11 years 8 months ago
Genetic Algorithm Based Recurrent Fuzzy Neural Network Modeling of Chemical Processes
: A genetic algorithm (GA) based recurrent fuzzy neural network modeling method for dynamic nonlinear chemical process is presented. The dynamic recurrent fuzzy neural network (RFN...
Jili Tao, Ning Wang, Xuejun Wang
books