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Neuro – Genetic Cost Optimization Model: Application of Textile Spinning Process
2009
Journal of clean energy technologies
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In this study, a Neuro-genetic concept is used to predict fibre properties for desired yarn. Genetic Algorithm approach is used further for cost optimization. ...
Starting with cotton, desired yarn is produced on ring frame. The quality and cost of resulting yarn play a significant role to determine its end application. ...
Atul Kamble for his helpful comments and discussion. We also thank Textile and Engineering Institute, Ichalkaranji (M.S., INDIA) for providing platform. ...
doi:10.7763/ijcte.2009.v1.71
fatcat:gtgg2paqpvb2tmitouk64lvq3m
Network topology design to influence the effects of manipulative behaviors in a social choice procedure
[article]
2021
arXiv
pre-print
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To deal with this problem a Genetic Algorithm is designed. ...
In the case of instability, the stabilization of these dynamics through the design of the network topology is formulated as a constrained integer programming problem. ...
Finally, we designed a proper genetic algorithm for this problem. ...
arXiv:1903.07004v3
fatcat:inaihilvx5g23ewczaap7upbh4
Automatic Generation of Adaptive Network Models based on Similarity to the Desired Complex Network
[article]
2018
arXiv
pre-print
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We employ Genetic Algorithms in order to evolve network models based on the characteristics of the target networks. ...
Complex networks have become powerful mechanisms for studying a variety of realworld systems. ...
ACKNOWLEDGEMENT We are grateful to Viplove Arora for sharing the synthesized networks which were generated in the evaluation process of ABNG method 1 . ...
arXiv:1810.01921v1
fatcat:7qzepabkpjdpbg7nropgdwf36e
Experiments on evolving software models of analog circuits
1999
Communications of the ACM
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These include the use of genetic algorithms to select electronic component values (for example, the resistance value of a resistor), to select circuit topologies, and to design amplifiers using a limited ...
The cc-bot language has the desirable property that virtually all possible sequences of instructions result in a valid electrical circuit. ...
These include the use of genetic algorithms to select electronic component values (for example, the resistance value of a resistor), to select circuit topologies, and to design amplifiers using a limited ...
doi:10.1145/299157.299875
fatcat:tz3jygm6rnhlpdukbggpzpbq3y
Optimal Design of Robust Synthetic Biological Oscillators
2015
Current Synthetic and Systems Biology
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This paper applies a real structural genetic algorithm (RSGA) to simultaneously identify network structure and estimate system parameters for a robust biological oscillator with specific oscillation frequency ...
We use a stochastic S-system model to capture the dynamic behavior and the network topology for the biological oscillator under the perturbational environments, transform a robust synthetic design problem ...
To combine a threshold value to genetic algorithm (GA), the genetic networks with a combined structure and parameter optimization can be constructed [25] [26] [27] 30] . ...
doi:10.4172/2332-0737.1000116
fatcat:udjewtiswnaspfzdazvaxuzmyi
Spontaneous organization leads to robustness in evolutionary algorithms
[article]
2011
arXiv
pre-print
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2009 pre-print arXiv:0907.0507v1 fatcat:alqsao55y5d5ln376dgymhqr3y
After a careful analysis of these results, we conclude that the coevolution between a population and its topology represents a powerful new paradigm for designing robust search heuristics. ...
Our results indicate that a self-organizing topology evolutionary algorithm exhibits surprisingly robust search behavior with promising performance observed over short and long time scales. ...
Population Networks for Evolutionary Algorithms Defining an EA population on a network modifies an EA design by localizing its genetic operators, i.e. restricting reproduction and selection to occur only ...
arXiv:0907.0507v2
fatcat:xozzk6niezamtlgwcj5shrllym
Optimization of spinning process using computational intelligence
2016
International Journal of Latest Trends in Engineering and Technology
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GENETIC ALGORITHM A genetic algorithm is used in an attempt to find optimized fibre properties obtained from different structure of neural network. ...
It is more desirable to find out fiber properties in advance according to customer design yarn properties i.e. yarn to fiber reverse engineering process [15] .This is one of the challenging task of spinning ...
doi:10.21172/1.81.001
fatcat:u5nduqk5czbhhdlyisdcqln6gq
Big-Data-Driven Control Strategies for Complex Networks
2013
Journal of Information Technology & Software Engineering
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Citation: Deo N, Jha SK (2013) Big-Data-Driven Control Strategies for Complex Networks. J Inform Tech Softw Eng 3: e117. ...
Graph theory and complex network may prove to be a very convenient framework for such an undertaking. ...
: (i) the distance between the current topological property of an evolving network and the desired state of the topological property, and (ii) the cost associated with the input being applied to steer ...
doi:10.4172/2165-7866.1000e117
fatcat:o5dq2rizj5advodzv5q4m6d46e
Optimal Network Design for Consensus Formation: Wisdom of Networked Agents
2014
International Journal of Advanced Computer Science and Applications
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However, designing networks with desirable properties is complex and it may pose a multi-constraint and multi-criterion optimization problem. ...
For the purpose of realizing such efficient network topology, this paper presents an optimization approach to design networks for better consensus formation by focusing on the eigenvalue spectral of Laplacian ...
In this paper, the fast consensus topology is introduced that is not Ramanujan for average degree less than 2 that has not been previously reported, generated with the genetic algorithm. ...
doi:10.14569/ijacsa.2014.050805
fatcat:gnawvaywuzbgxnhtpwjdrrdc3a
Combinatorial synthesis approach employing graph networks
2008
Advanced Engineering Informatics
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The paper proposes a methodology to assist the designer at the initial stages of the design synthesis process by enabling him/her to employ knowledge and algorithms existing in graph network theory. ...
system requirements; finding the geometric configuration of that topology that will possess the desired properties. ...
Geometric synthesis step -Finding the geometry of the network possessing the desired engineering properties.
Topological synthesis step - Devising the topologies with the special properties. ...
doi:10.1016/j.aei.2007.08.003
fatcat:gojkg2icibe4fe3xxfxrcygg6q
A NOVEL APPROACH TO DESIGN OF MICROSTRIP UWB BANDPASS FILTER USING MODIFIED GENETIC ALGORITHM
2014
Progress In Electromagnetics Research M
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The modified genetic algorithm is then applied to simultaneously search for the appropriate circuit topology and the corresponding electrical parameters with UWB characteristic. ...
A novel approach to design microstrip ultra-wideband (UWB) bandpass filter (BPF) using modified genetic algorithm (MGA) is proposed in this paper. ...
DESIGN EXAMPLE Here, an initial microstrip UWB BPF is desired by the modified genetic algorithm. ...
doi:10.2528/pierm14050402
fatcat:jkag5l7uvbhptg7d4risjegckm
Boolean Networks Design by Genetic Algorithms
[article]
2011
arXiv
pre-print
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This study is the first step toward the use of search algorithms as tools for automatically design Boolean networks with required properties. ...
We present and discuss the results of an experimental analysis in the design of Boolean networks by means of genetic algorithms. ...
Acknowledgements We thank Roberto Serra, Marco Villani for useful comments and suggestions. ...
arXiv:1101.6018v1
fatcat:spvtc4hb7jckplxtrkurppaco4
Applying genetic algorithms to decision making in autonomic computing systems
2009
Proceedings of the 6th international conference on Autonomic computing - ICAC '09
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We have applied this genetic-algorithm based approach to the dynamic reconfiguration of a collection of remote data mirrors, with the goal of minimizing costs while maximizing data reliability and network ...
Autonomic computing has been proposed as a means for automating software maintenance tasks. ...
with a genetic algorithm. ...
doi:10.1145/1555228.1555258
dblp:conf/icac/RamirezKCM09
fatcat:5fwku3ovunhhro4a5wz7v547tq
Optimization of Mobile Agent using Genetic Algorithm in Wireless Sensor Network
2016
International Journal of Computer Applications
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The algorithms have been integrated both into a realtime wireless sensor network and into a simulation environment. ...
In this paper proposes a genetic algorithm that plans the simultaneous itineraries that intelligent mobile agents are to follow, such that the sensed information is collected within a time bound, and the ...
To verify the scaling property of our algorithms, we select a large-scale network with 40 nodes and there are total five iterations with jobs starting from 1000 to 5000 and for each iterations, jobs completed ...
doi:10.5120/ijca2016907831
fatcat:wetbtiu7anapfc22ihepxv3yr4
Designing data center network by analytic hierarchy process
2013
Computer Networks
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We investigate the properties of desirable data center networks in these three areas, and compare the results with those obtained by the enumeration method. ...
To provide these services with high quality and high reliability, ISPs need to carefully design network topology and the positions of data centers. ...
[16] depicted heuristic approaches using a tabu search and genetic algorithm for solving the same problem with the constraint that the connectivity between any pair of nodes is maintained for any single-node ...
doi:10.1016/j.comnet.2012.10.009
fatcat:lgprcxlcizggndvc37dfsr3gna
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