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Neuro – Genetic Cost Optimization Model: Application of Textile Spinning Process

L. S. Admuthe, S. D. Apte
2009 Journal of clean energy technologies  
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]

Athanasios-Rafail Lagos, George P. Papavassilopoulos
2021 arXiv   pre-print
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]

Niousha Attar, Sadegh Aliakbary
2018 arXiv   pre-print
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

Jason D. Lohn
1999 Communications of the ACM  
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

Chia Hua Chuang Chun Liang Lin
2015 Current Synthetic and Systems Biology  
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]

James M. Whitacre, Ruhul A. Sarker, Q. Tuan Pham
2011 arXiv   pre-print
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  
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

Narsingh Deo, Sumit Kumar Jha
2013 Journal of Information Technology & Software Engineering  
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

Eugene S., Akira Namatame
2014 International Journal of Advanced Computer Science and Applications  
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

Offer Shai, Noel Titus, Karthik Ramani
2008 Advanced Engineering Informatics  
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


Huaxia Peng, Junding Zhao, Hao Zhang, Minxian Du, Yufeng Luo, Xin Wang, Wenhai Wang
2014 Progress In Electromagnetics Research M  
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]

Andrea Roli, Cristian Arcaroli, Marco Lazzarini, Stefano Benedettini
2011 arXiv   pre-print
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

Andres J. Ramirez, David B. Knoester, Betty H.C. Cheng, Philip K. McKinley
2009 Proceedings of the 6th international conference on Autonomic computing - ICAC '09  
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

Harveen Kaur, Mandeep Singh
2016 International Journal of Computer Applications  
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

Noriaki Kamiyama
2013 Computer Networks  
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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