Relevant bibliographies by topics / Memetic Drive

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Memetic Drive'

Author: Grafiati
Published: 9 March 2023

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Journal articles on the topic "Memetic Drive"

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blackmore, susan. "implications for memetics." Behavioral and Brain Sciences 28, no. 4 (August 2005): 490. http://dx.doi.org/10.1017/s0140525x0523008x.

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the implications that steels & belpaeme's (s&b's) models have for memetics are discussed. the results demonstrate the power of memes (in this case colour words) to influence both concept formation, and the creation of innate concepts. they provide further evidence for the memetic drive hypothesis, with implications for the evolution of the human brain and for group differences in categorisation.
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Han, Zhenyu, Dewei Li, Baoming Han, and Han Gao. "Synchronous Optimization for Demand-Driven Train Operation Plan in Rail Transit Network Using Nondominated Sorting Coevolutionary Memetic Algorithm." Journal of Advanced Transportation 2022 (October 5, 2022): 1–13. http://dx.doi.org/10.1155/2022/4092011.

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In many cities and regions, decision makers independently develop Train Operation Plan (TOP) for each line in the rail transit network, resulting in a lack of TOP Synchronization (TOPS). Considering the entire network as a whole, researchers have realized that synchronous optimization is of great significance. In this paper, we formulate two Mixed-Integer Linear Programming (MILP) models to optimize demand-driven TOP in the network. The former is an Asynchronous TOP Optimization (ATOPO) model, while the latter is a Synchronous TOP Optimization (STOPO) model. The bi-objective models simultaneously determine train frequency, train timetable, and rolling stock circulation under small-granularity passenger demand to minimize trains’ total cost and passengers’ total time. Then, we propose the Nondominated Sorting Coevolutionary Memetic Algorithm (NSCMA) to solve the combinatorial optimization problems. The hybrid heuristic algorithm incorporates Coevolutionary Memetic Algorithm (CMA) into Advanced and Adaptive Nondominated Sorting Genetic Algorithm II (AANSGA-II) to ameliorate the evolution process for elite individuals. On this basis, we study the case of Shenyang Metro to verify the models and the algorithm. The results demonstrate that the STOPO model is better than the ATOPO model in reducing trains’ total cost and passengers’ total time. In addition, NSCMA is better than AANSGA-II in obtaining elite individuals.
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Gong, Yue-Jiao, Yong-Feng Ge, Jing-Jing Li, Jun Zhang, and W. H. Ip. "A splicing-driven memetic algorithm for reconstructing cross-cut shredded text documents." Applied Soft Computing 45 (August 2016): 163–72. http://dx.doi.org/10.1016/j.asoc.2016.03.024.

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Kalita, Kanak, Ranjan Kumar Ghadai, Lenka Cepova, Ishwer Shivakoti, and Akash Kumar Bhoi. "Memetic Cuckoo-Search-Based Optimization in Machining Galvanized Iron." Materials 13, no. 14 (July 8, 2020): 3047. http://dx.doi.org/10.3390/ma13143047.

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In this article, an improved variant of the cuckoo search (CS) algorithm named Coevolutionary Host-Parasite (CHP) is used for maximizing the metal removal rate in a turning process. The spindle speed, feed rate and depth of cut are considered as the independent parameters that describe the metal removal rate during the turning operation. A data-driven second-order polynomial regression approach is used for this purpose. The training dataset is designed using an L16 orthogonal array. The CHP algorithm is effective in quickly locating the global optima. Furthermore, CHP is seen to be sufficiently robust in the sense that it is able to identify the optima on independent reruns. The CHP predicted optimal solution presents ±10% deviations in the optimal process parameters, which shows the robustness of the optimal solution.
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Dougherty, Stephen. "Culture in the Disk Drive: Computationalism, Memetics, and the Rise of Posthumanism." diacritics 31, no. 4 (2001): 85–102. http://dx.doi.org/10.1353/dia.2004.0004.

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Olesen, Thomas. "Memetic protest and the dramatic diffusion of Alan Kurdi." Media, Culture & Society 40, no. 5 (September 15, 2017): 656–72. http://dx.doi.org/10.1177/0163443717729212.

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In September 2015, the photographs of a dead boy, Alan Kurdi, washed up on a beach near the Turkish city of Bodrum, inspired countless reactions of indignation and protest. To understand the protest dynamic that emerged around these photographs, this article discusses three sets of explanatory observations: (a) that the Kurdi photographs had important aesthetic and inter-iconic qualities, (b) that the central ‘Kurdi on the beach’ photographs were juxtaposed with a range of ‘Kurdi alive’ photographs brought into the public sphere by intimate injustice interpreters and commentators (i.e. Kurdi’s aunt and father), and (c) that they displayed an interpretive openness that allowed for ideological and geographical diversity in political meaning work. In seeking to offer an explanation of the dramatic diffusion of Kurdi, the article also illuminates some new powerful trends in activism around injustice photographs. While the global and protest-driven diffusion of injustice photographs is not historically novel, the new media ecology of Web 2.0 is profoundly transforming the way photographs are politicized. This transformation involves unprecedented opportunities for individualized, creative, and memetic protest.
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Wadhawan, Savita, Gunjan Goel, and Srikant Kaushik. "Data Driven Fuzzy Modeling for Sugeno and Mamdani Type Fuzzy Model using Memetic Algorithm." International Journal of Information Technology and Computer Science 5, no. 8 (July 1, 2013): 24–37. http://dx.doi.org/10.5815/ijitcs.2013.08.03.

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Caponio, Andrea, Giuseppe Leonardo Cascella, Ferrante Neri, Nadia Salvatore, and Mark Sumner. "A Fast Adaptive Memetic Algorithm for Online and Offline Control Design of PMSM Drives." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 37, no. 1 (February 2007): 28–41. http://dx.doi.org/10.1109/tsmcb.2006.883271.

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He, Yingmei, Bin Xin, Sai Lu, Qing Wang, and Yulong Ding. "Memetic Algorithm for Dynamic Joint Flexible Job Shop Scheduling with Machines and Transportation Robots." Journal of Advanced Computational Intelligence and Intelligent Informatics 26, no. 6 (November 20, 2022): 974–82. http://dx.doi.org/10.20965/jaciii.2022.p0974.

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In this study, the dynamic joint scheduling problem for processing machines and transportation robots in a flexible job shop is investigated. The study aims to minimize the order completion time (makespan) of a job shop manufacturing system. Considering breakdowns, order insertion and battery charging maintenance of robots, an event-driven global rescheduling strategy is adopted. A novel memetic algorithm combining genetic algorithm and variable neighborhood search is designed to handle dynamic events and obtain a new scheduling plan. Finally, numerical experiments are conducted to test the effect of the improved operators. For successive multiple rescheduling, the effectiveness of the proposed algorithm is verified by comparing it with three other algorithms under dynamic events, and through statistical analysis, the results verify the effectiveness of the proposed algorithm.
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Zhou, Shenpei, Bingchen Qiao, Haoran Li, and Bin Ran. "Recognition of driver emergency braking behaviour based on support vector machine optimised by memetic algorithm." International Journal of Bio-Inspired Computation 16, no. 4 (2020): 220. http://dx.doi.org/10.1504/ijbic.2020.112321.

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Dissertations / Theses on the topic "Memetic Drive"

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TARDITI, SPAGNOLI GIORGIO. "Nurture becomes nature: the evolving place of psychology in the theory of evolution." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/80377.

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The thesis here presented establishes a triple parallelism between biology and psychology. First, through Haeckel's recapitulation theory as the source of freudian and jungian psychology. Second, from the reductionist view of science to the new phenomenology of evolutionary developmental biology. Third, by overcoming the reductionist paradigm in biology through the Extended Synthesis and in psychology though the revisited archetype theory. By establishing these parallelisms, the thesis faces the nature vs. nurture debate on three epistemological levels, in which the external and internal levels are being mediatied by a middle one. This turns the dualistic debate into a heuristic paradigm aimed to resolve any irreducible dualism inherent in the reductionist view
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Books on the topic "Memetic Drive"

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Ong, Yew-Soon, and Abhishek Gupta. Memetic Computation: The Mainspring of Knowledge Transfer in a Data-Driven Optimization Era. Springer, 2018.

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Book chapters on the topic "Memetic Drive"

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Jan, Steven. "3 Music-Cultural Evolution in the Light of Memetics." In Music in Evolution and Evolution in Music, 165–290. Cambridge, UK: Open Book Publishers, 2022. http://dx.doi.org/10.11647/obp.0301.03.

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Chapter 3: revisits memetics (theorised in my The Memetics of Music: A Neo-Darwinian View of Musical Structure and Culture (Aldershot: Ashgate, 2007)) and its antecedent theories in order to explore further how biological and cultural Darwinism relate to each other and how they can illuminate our understanding of musicality and music. The discussion covers, among other issues, the question of taxonomy (how approaches to biological classification discussed in Chapter 1 (particularly cladism) can be applied to musico-cultural types) and the possible co-evolutionary effect of musical memes, or ‘musemes’, on human genetic evolution (what Susan Blackmore terms ‘memetic drive’). The structural correspondences between music and language discussed in Chapter 2 are used as the basis of an exploration of the syntactic and semantic homologies between the two substrates, developing the work of Peter Carruthers.
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Gupta, Abhishek, and Yew-Soon Ong. "Data-Driven Adaptation in Memetic Algorithms." In Adaptation, Learning, and Optimization, 27–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02729-2_3.

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Prasath, V. B. Surya, and R. Delhibabu. "Image Restoration with Fuzzy Coefficient Driven Anisotropic Diffusion." In Swarm, Evolutionary, and Memetic Computing, 145–55. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20294-5_13.

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Satyanarayana, G., and K. Lakshmi Ganesh. "Tuning a Robust Performance of Adaptive Fuzzy-PI Driven DSTATCOM for Non-linear Process Applications." In Swarm, Evolutionary, and Memetic Computing, 523–33. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20294-5_46.

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Conference papers on the topic "Memetic Drive"

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Caponio, Andrea, Ferrante Neri, Giuseppe L. Cascella, and Nadia Salvatore. "Application of Memetic Differential Evolution frameworks to PMSM drive design." In 2008 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2008. http://dx.doi.org/10.1109/cec.2008.4631079.

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Niknam Kumle, Alireza, S. H. Fathi, and S. S. Heidary Yazdi. "A novel memetic algorithm approach for selective harmonic elimination in multi-level inverters." In 2014 5th Power Electronics, Drive Systems & Technologies Conference (PEDSTC). IEEE, 2014. http://dx.doi.org/10.1109/pedstc.2014.6799372.

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Lai, Xiangjing, JinKao Hao, Dong Yue, and Hao Gao. "Diversification-driven Memetic Algorithm for the Maximum Diversity Problem." In 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS). IEEE, 2018. http://dx.doi.org/10.1109/ccis.2018.8691160.

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McCarty, Kevin, and Milos Manic. "A database driven memetic algorithm for fuzzy set optimization." In 2014 7th International Conference on Human System Interactions (HSI). IEEE, 2014. http://dx.doi.org/10.1109/hsi.2014.6860443.

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Ahn, Youngjun, Jiseong Park, Cheol-Gyun Lee, Yu-Seok Jeong, Yong-Jae Kim, and Sang-Yong Jung. "Optimal design of direct-driven PM wind generator using memetic algorithm coupled with FEM." In 2009 International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2009. http://dx.doi.org/10.1109/icems.2009.5382709.

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Borschbach, M., and A. Exeler. "A Tabu history driven crossover operator design for memetic algorithm applied to Max-2SAT-problems." In the 10th annual conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1389095.1389214.

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Journal articles
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