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Relevant bibliographies by topics / Genetic redundancy

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Academic literature on the topic 'Genetic redundancy'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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Journal articles on the topic "Genetic redundancy"

1

Miglino, Orazio, and Richard Walker. "Genetic Redundancy in Evolving Populations of Simulated Robots." Artificial Life 8, no. 3 (2002): 265–77. http://dx.doi.org/10.1162/106454602320991855.

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A number of authors have argued that redundancy in biological organisms contributes to their evolvability. We investigate this hypothesis via the experimental manipulation of genetic redundancy in evolving populations of simulated robots controlled by artificial neural networks. A genetic algorithm is used to simulate the evolution of robots with the ability to perform a previously studied task. Redundancy is measured using systematic lesioning. In our experiments, populations of robots with larger genotypes achieve systematically higher fitness than populations whose genotypes are smaller. It

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Cusack, Siobhan A., Peipei Wang, Serena G. Lotreck, et al. "Predictive Models of Genetic Redundancy in Arabidopsis thaliana." Molecular Biology and Evolution 38, no. 8 (2021): 3397–414. http://dx.doi.org/10.1093/molbev/msab111.

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Abstract Genetic redundancy refers to a situation where an individual with a loss-of-function mutation in one gene (single mutant) does not show an apparent phenotype until one or more paralogs are also knocked out (double/higher-order mutant). Previous studies have identified some characteristics common among redundant gene pairs, but a predictive model of genetic redundancy incorporating a wide variety of features derived from accumulating omics and mutant phenotype data is yet to be established. In addition, the relative importance of these features for genetic redundancy remains largely un

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Nowak, Martin A., Maarten C. Boerlijst, Jonathan Cooke, and John Maynard Smith. "Evolution of genetic redundancy." Nature 388, no. 6638 (1997): 167–71. http://dx.doi.org/10.1038/40618.

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Thomas, James H. "Thinking about genetic redundancy." Trends in Genetics 9, no. 11 (1993): 395–99. http://dx.doi.org/10.1016/0168-9525(93)90140-d.

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Kumar, Ranjan, Kazuhiro Izui, Masataka Yoshimura, and Shinji Nishiwaki. "3208 Robustness of Redundancy Optimization using Hierarchical Genetic Algorithms." Proceedings of Design & Systems Conference 2006.16 (2006): 309–12. http://dx.doi.org/10.1299/jsmedsd.2006.16.309.

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Pickett, F. Bryan, and D. Ry Meeks-Wagner. "Seeing Double: Appreciating Genetic Redundancy." Plant Cell 7, no. 9 (1995): 1347. http://dx.doi.org/10.2307/3870126.

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Pickett, F. B., and D. R. Meeks-Wagner. "Seeing double: appreciating genetic redundancy." Plant Cell 7, no. 9 (1995): 1347–56. http://dx.doi.org/10.1105/tpc.7.9.1347.

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Dover, Gabriel A. "Genetic errors and gene redundancy." Trends in Genetics 2 (January 1986): 172. http://dx.doi.org/10.1016/0168-9525(86)90214-3.

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ZHANG, MENGJIE, and PHILLIP WONG. "EXPLICITLY SIMPLIFYING EVOLVED GENETIC PROGRAMS DURING EVOLUTION." International Journal of Computational Intelligence and Applications 07, no. 02 (2008): 201–32. http://dx.doi.org/10.1142/s1469026808002247.

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The genetic programming (GP) evolutionary process typically introduces a large amount of redundancy and unnecessary complexity into evolved programs. Quick growth of redundant and functionally useless sections of programs can quickly overcome a GP system, exhausting system resources and causing premature termination of the system before an acceptable solution can be found. Rather than implicitly controlling the redundancy and code growth/bloat as in most of the existing approaches, this paper investigates an algebraic simplification algorithm for explicitly removing the redundancy from the gen

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Raich, Anne M., and Jamshid Ghaboussi. "Implicit Representation in Genetic Algorithms Using Redundancy." Evolutionary Computation 5, no. 3 (1997): 277–302. http://dx.doi.org/10.1162/evco.1997.5.3.277.

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A new representation combining redundancy and implicit fitness constraints is introduced that performs better than a simple genetic algorithm (GA) and a structured GA in experiments. The implicit redundant representation (IRR) consists of a string that is over-specified, allowing for sections of the string to remain inactive during function evaluation. The representation does not require the user to prespecify the number of parameters to evaluate or the location of these parameters within the string. This information is obtained implicitly by the fitness function during the GA operations. The

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Dissertations / Theses on the topic "Genetic redundancy"

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Jacobowitz, Joseph(Joseph R. ). "Reverse genetic approaches reveal gene redundancy in Arabidopsis anthers." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/129041.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biology, 2020<br>Cataloged from student-submitted PDF of thesis.<br>Includes bibliographical references.<br>When aquatic plants migrated to land 500 million years ago, they were met with harsh conditions associated with terrestrial life, such as dry air, high radiance light, and high effective gravity. Early plants of this time period underwent rapid evolution to develop novel plant traits to mitigate these challenges - these traits remain highly conserved in modern land plants. Among the most important of these traits is the

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Kim, Jeehee. "Biological role and genetic redundancy within the ebf gene family." Diss., Ludwig-Maximilians-Universität München, 2015. http://nbn-resolving.de/urn:nbn:de:bvb:19-182813.

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Barreau, Guillaume. "The evolutionary consequences of redundancy in natural and artificial genetic codes." Thesis, University of Sussex, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241687.

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Kumar, Ranjan. "Optimal Reliability Design of Multilevel Systems Using Hierarchical Genetic Algorithms." 京都大学 (Kyoto University), 2009. http://hdl.handle.net/2433/77967.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(工学)<br>甲第14577号<br>工博第3045号<br>新制||工||1453(附属図書館)<br>26929<br>UT51-2009-D289<br>京都大学大学院工学研究科航空宇宙工学専攻<br>(主査)教授吉村允孝, 教授椹木哲夫, 教授松原厚<br>学位規則第4条第1項該当

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OHNISHI, Noboru, Hiroaki KUDO, Yoshinori TAKEUCHI, Tetsuya MATSUMOTO, and Ukrit WATCHAREERUETAI. "Multi-Objective Genetic Programming with Redundancy-Regulations for Automatic Construction of Image Feature Extractors." Institute of Electronics, Information and Communication Engineers, 2010. http://hdl.handle.net/2237/15004.

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Watchareeruetai, Ukrit, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, and Noboru Ohnishi. "Construction of image feature extractors based on multi-objective genetic programming with redundancy regulations." IEEE, 2009. http://hdl.handle.net/2237/13923.

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Kara, Madina. "Characterisation and functional analysis of a novel MSP domain-containing protein, MOSPD1." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6475.

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MOSPD1 belongs to a class of proteins that have a major sperm protein (MSP) domain at the N terminus and two transmembrane domains at the C terminus and are thought to act as membrane adaptor proteins. Previous work in the laboratory indicated that the closely related, mammalian-specific, Mospd 3 plays a role in the development and function of the heart as homozygous Mospd 3 gene trap neonates displayed a right ventricle defect characterised by a thinning of the right ventricle wall. The function of Mospd 1 is not known. Whilst Mospd 3 is mammalian specific Mospd 1 is conserved in all vertebra

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Kim, Jeehee [Verfasser], and Barbara [Akademischer Betreuer] Conradt. "Biological role and genetic redundancy within the ebf gene family / Jeehee Kim. Betreuer: Barbara Conradt." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2015. http://d-nb.info/1073825779/34.

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Albandes, Iuri. "Use of Approximate Triple Modular Redundancy for Fault Tolerance in Digital Circuits." Doctoral thesis, Universidad de Alicante, 2018. http://hdl.handle.net/10045/88248.

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La triple redundancia modular (TMR) es una técnica bien conocida de mitigación de fallos que proporciona una alta protección frente a fallos únicos pero con un gran coste en términos de área y consumo de potencia. Por esta razón, la redundancia parcial se suele aplicar para aligerar estos sobrecostes. En este contexto, la TMR aproximada (ATMR), que consisten en la implementación de la redundancia triple con versiones aproximadas del circuito a proteger, ha surgido en los últimos años como una alternativa a la replicación parcial, con la ventaja de obtener mejores soluciones de compromiso entre

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Baxter, Janine Rose. "Assessing genetic diversity of springtails (Collembola) across the Namib Desert and the potential role of environmental parameters in driving this diversity." Diss., University of Pretoria, 2018. http://hdl.handle.net/2263/67137.

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Desert environments are characterised by harsh conditions and possess low biodiversity largely caused by abiotic factors such as; low precipitation, soil organic matter, high temperatures, high levels of evapo-transpiration, pH and salinity. These factors significantly reduce primary production, which influences the availability of food resources for deserts organisms. The diversity and the drivers of diversity for below ground invertebrates including Collembola (springtails) are relatively unknown in the Namib Desert. Previous morphological studies have found only five species on the ba

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Books on the topic "Genetic redundancy"

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Chen, Mingwu. A genetic approach to the motion planning of redundant mobile manipulator systems considering safety and configuration. University of Sheffield. Department of Automatic Control and Systems Engineering, 1995.

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Toufighi, Kiana. Exploring genetic redundancy and uniqueness in Arabidopsis using a bioinformatics approach. 2006.

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Evaluation of boiling water reactor water-level sensing line break and single failure: Generic issue 101 boiling water reactor level redundancy - technical findings. Division of Safety Issue Resolution, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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Book chapters on the topic "Genetic redundancy"

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Ascencio, Diana, and Alexander DeLuna. "Genetic Redundancy." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1167.

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Kafri, Ran, and Tzachi Pilpel. "Evolutionary and Functional Aspects of Genetic Redundancy." In Evolution after Gene Duplication. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470619902.ch13.

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Shipman, R. "Genetic Redundancy: Desirable or Problematic for Evolutionary Adaptation?" In Artificial Neural Nets and Genetic Algorithms. Springer Vienna, 1999. http://dx.doi.org/10.1007/978-3-7091-6384-9_57.

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Rafajłowicz, Wojciech. "A Markov Process Approach to Redundancy in Genetic Algorithms." In Artificial Intelligence and Soft Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61401-0_41.

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Tian, Zhigang, Ming J. Zuo, and Hong-Zhong Huang. "Optimal Redundancy Allocation of Multi-State Systems with Genetic Algorithms." In Computational Intelligence in Reliability Engineering. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-37368-1_6.

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Paramanik, R., S. K. Mahato, N. Bhattacharyee, P. Supakar, and B. Sarkar. "Multiple Constrained Reliability-Redundancy Optimization under Triangular Intuitionistic Fuzziness Using a Genetic Algorithm." In Reliability Management and Engineering. CRC Press, 2020. http://dx.doi.org/10.1201/9780429268922-9.

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Tang, Qirong, Le Liang, Yinghao Li, Zhenqiang Deng, Yinan Guo, and Hai Huang. "An Energy Minimized Solution for Solving Redundancy of Underwater Vehicle-Manipulator System Based on Genetic Algorithm." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61824-1_43.

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Duverger, Yohann, and Béatrice Py. "Molecular Biology and Genetic Tools to Investigate Functional Redundancy Among Fe-S Cluster Carriers in E. coli." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1605-5_1.

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Cui, Yang, Kazukuni Kobara, and Hideki Imai. "A Generic Conversion with Optimal Redundancy." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30574-3_9.

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Szulc, Iwona, Krzysztof Stencel, and Piotr Wiśniewski. "Using Genetic Algorithms to Optimize Redundant Data." In Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58274-0_14.

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Conference papers on the topic "Genetic redundancy"

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Dougherty, Ryan E. "Genetic algorithms for redundancy in interaction testing." In GECCO '20: Genetic and Evolutionary Computation Conference. ACM, 2020. http://dx.doi.org/10.1145/3377930.3390230.

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Kumar, Ranjan, Kazuhiro Izui, Masataka Yoshimura, and Shinji Nishiwaki. "Optimal Modular Redundancy Using Hierarchical Genetic Algorithms." In 2007 Proceedings Annual Reliability and Maintainability Sympsoium. IEEE, 2007. http://dx.doi.org/10.1109/rams.2007.328076.

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AGARWAL, MANJU, and RASHIKA GUPTA. "GENETIC SEARCH FOR REDUNDANCY OPTIMIZATION IN COMPLEX SYSTEMS." In Proceedings of the 2004 Asian International Workshop (AIWARM 2004). WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812702685_0001.

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Ruiz, Andrés G., João V. C. Fontes, and Maíra M. da Silva. "The Influence of Kinematic Redundancies in the Energy Efficiency of Planar Parallel Manipulators." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50278.

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Parallel manipulators present advantages compared to serial ones, such as higher load-carrying capacity, improved accuracy and increased stiffness. However, parallel manipulators possess limitations due to the presence of singularities. It has been proved that kinematic and actuation redundancy promote a significant reduction in the singularities and homogenization on the actuation forces. This paper evaluates the effect of the addition of kinematic redundancy in the energy efficiency of parallel manipulators. In order to do so, the required mechanical energy consumed by a 3RRR non-redundant p

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Correia, Marisol B. "The effect of redundancy and neutrality in genetic search." In 2011 Third World Congress on Nature and Biologically Inspired Computing (NaBIC). IEEE, 2011. http://dx.doi.org/10.1109/nabic.2011.6089604.

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Lingireddy, Srinivasa, Lindell Ormsbee, and T. R. Neelakantan. "Application of Genetic Optimization in Maximizing Hydraulic Network Redundancy." In Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000. American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40517(2000)203.

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Scullion, Calum, Stavros Vouros, Ioannis Goulos, Devaiah Nalianda, and Vassilios Pachidis. "Optimal Control of a Compound Rotorcraft for Engine Performance Enhancement." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-16280.

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Abstract Demands for rotorcraft with increased flight speed, improved operational performance and reduced environmental impact have led to a drive in research and development of alternative concepts. Compound rotorcraft overcome the flight speed limitations of conventional helicopters with additional lifting and propulsive components. Further to operational benefits, these augmentations provide additional flight control parameters, resulting in control redundancy. This work aims to investigate the impact of optimal control strategies for a generic coaxial compound rotorcraft, equipped with tur

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de Mello, Rodrigo F., Rafael G. Cuenca, and Laurence T. Yang. "Genetic Algorithms Applied to Organize Wireless Sensor Networks Aiming Good Coverage and Redundancy." In 2006 First International Conference on Communications and Networking in China. IEEE, 2006. http://dx.doi.org/10.1109/chinacom.2006.344694.

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Watchareeruetai, Ukrit, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, and Noboru Ohnishi. "Construction of image feature extractors based on multi-objective genetic programming with redundancy regulations." In 2009 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2009. http://dx.doi.org/10.1109/icsmc.2009.5346242.

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Yilmaz, Ayse Selen, and Annie S. Wu. "Preservation of genetic redundancy in the existence of developmental error and fitness assignment error." In the 2005 conference. ACM Press, 2005. http://dx.doi.org/10.1145/1068009.1068222.

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