Relevant bibliographies by topics / Algoritmi memetici

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

Academic literature on the topic 'Algoritmi memetici'

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Algoritmi memetici"

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Nico, Nico, Novrido Charibaldi, and Yuli Fauziah. "Comparison of Memetic Algorithm and Genetic Algorithm on Nurse Picket Scheduling at Public Health Center." International Journal of Artificial Intelligence & Robotics (IJAIR) 4, no. 1 (2022): 9–23. http://dx.doi.org/10.25139/ijair.v4i1.4323.

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 One of the most significant aspects of the working world is the concept of a picket schedule. It is difficult for the scheduler to make an archive since there are frequently many issues with the picket schedule. These issues include schedule clashes, requests for leave, and trading schedules. Evolutionary algorithms have been successful in solving a wide variety of scheduling issues. Evolutionary algorithms are very susceptible to data convergence. But no one has discussed where to start from, where the data converges from making schedules using evolutionary algorithms. The best algorit
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Dodu, A. Y. Erwin, Deny Wiria Nugraha, and Subkhan Dinda Putra. "Penjadwalan Tenaga Kebidanan Menggunakan Algoritma Memetika." JURNAL SISTEM INFORMASI BISNIS 8, no. 1 (2018): 99. http://dx.doi.org/10.21456/vol8iss1pp99-106.

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The problem of midwife scheduling is one of the most frequent problems in hospitals. Midwife should be available 24 hours a day for a full week to meet the needs of the patient. Therefore, good or bad midwife scheduling result will have an impact on the quality of care on the patient and the health of the midwife on duty. The midwife scheduling process requires a lot of time, effort and good cooperation between some parties to solve this problem that is often faced by the Regional Public Hospital Undata Palu Central Sulawesi Province. This research aimed to apply Memetics algorithm to make sch
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Handa, Hisashi. "Solving Constraint Satisfaction Problems by Memetic Algorithms Using Estimation of Distribution Algorithms." Transactions of the Japanese Society for Artificial Intelligence 19 (2004): 405–12. http://dx.doi.org/10.1527/tjsai.19.405.

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He Zewen, 何泽文, 庄秋实 Zhuang Qiushi, 曹惠宁 Cao Huining та 辛煜 Xin Yu. "基于文化基因算法的透过散射介质聚焦". Laser & Optoelectronics Progress 58, № 24 (2021): 2429001. http://dx.doi.org/10.3788/lop202158.2429001.

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Vairam, Senthil, and V. Selladurai. "Parallel Machine Shop Scheduling Using Memetic Algorithm." Applied Mechanics and Materials 573 (June 2014): 362–67. http://dx.doi.org/10.4028/www.scientific.net/amm.573.362.

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Parallel machine shop scheduling problem can be stated as finding a schedule for a general task graph to execute on a customed flow so that the schedule length can be minimized. Parallel Flow Shop Scheduling with a case study has been . In this study we present an effective memetic algorithm to solve the problem. Also evaluating the performance of two algorithms (genetic algorithm and memetic algorithm) in terms of both the quality of the solutions produced and the efficiency. These results demonstrate that the memetic algorithm produces better and quality solutions and hence it is very effici
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Phan, Tuan Anh, and Anh Tuan Duong. "A FRAMEWORK FOR MEMETIC ALGORITHMS." Science and Technology Development Journal 12, no. 11 (2009): 27–38. http://dx.doi.org/10.32508/stdj.v12i11.2309.

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Memetic algorithm, a combination of genetic algorithm with local search, is one of the most successful metaheuristics to solve complex combinatorial optimization problems. In this paper, we will introduce an object-oriented framework which allows the construction of memetic algorithms with a maximum reuse. This framework has been developed in Java using design patterns to allow its easy extension and utilization in different problem domains. Our framework has been experimented through the development of a memetic algorithm for solving set covering problems.
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Elleuch, Souhir, and Bassem Jarboui. "Improved memetic programming algorithm." International Journal of Operational Research 44, no. 3 (2022): 389. http://dx.doi.org/10.1504/ijor.2022.124105.

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Elleuch, Souhir, and Bassem Jarboui. "Improved Memetic Programming algorithm." International Journal of Operational Research 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijor.2021.10032941.

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Vakil-Baghmisheh, M. T., and Morteza Alinia Ahandani. "A differential memetic algorithm." Artificial Intelligence Review 41, no. 1 (2012): 129–46. http://dx.doi.org/10.1007/s10462-011-9302-2.

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Bharothu, Dr Jyothilal Nayak, Dr B. Madhu Kiran, Dr G. Kishor Babu, and B. N. V. Satish Kumar Kolla. "IEEE -30 Bus System Study with Memetic Differential Evolution Algorithm." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11 (2019): 86–96. http://dx.doi.org/10.5373/jardcs/v11i11/20193172.

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Dissertations / Theses on the topic "Algoritmi memetici"

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Vitiello, Autilia. "Memetic algorithms for ontology alignment." Doctoral thesis, Universita degli studi di Salerno, 2013. http://hdl.handle.net/10556/1156.

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2011 - 2012<br>Semantic interoperability represents the capability of two or more systems to meaningfully and accurately interpret the exchanged data so as to produce useful results. It is an essential feature of all distributed and open knowledge based systems designed for both e-government and private businesses, since it enables machine interpretation, inferencing and computable logic. Unfortunately, the task of achieving semantic interoperability is very difficult because it requires that the meanings of any data must be specified in an appropriate detail in order to resolve any pot
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Maciel, Cristiano Baptista Faria. "A memetic algorithm for logistics network design problems." Master's thesis, Instituto Superior de Economia e Gestão, 2014. http://hdl.handle.net/10400.5/8601.

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Mestrado em Decisão Económica e Empresarial<br>Neste trabalho, um algoritmo memético é desenvolvido com o intuito de ser aplicado a uma rede logística, com três níveis, múltiplos períodos, seleção do meio de transporte e com recurso a outsourcing. O algoritmo memético pode ser aplicado a uma rede logística existente, no sentido de otimizar a sua configuração ou, se necessário, pode ser utilizado para criar uma rede logística de raiz. A produção pode ser internalizada e é permitido o envio direto de produtos para os clientes. Neste problema, as capacidades das diferentes infraestruturas podem s
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Filák, Jakub. "Evoluční optimalizace turnusů jízdních řádů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236673.

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This thesis deals with the problem of vehicle scheduling in public transport. It contains a theoretical introduction to vehicles scheduling and evolutionary algorithms. Vehicle scheduling is analyzed with respect to the bus timetables. Analysis of evolutionary algorithms is done with emphasis on the genetic algorithms and tabu-search method After the theoretical introduction, a memetic algorithm for the given problem is analyzed. Finally, the thesis contains a description of the optimization system implementation and discusses the experiments with the system.
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Bonfim, Tatiane Regina. "Escalonamento memetico e neuro-memetico de tarefas." [s.n.], 2006. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260503.

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Orientador: Akebo Yamakami<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-06T10:47:10Z (GMT). No. of bitstreams: 1 Bonfim_TatianeRegina_D.pdf: 1154007 bytes, checksum: 1b6dd7bc9c2e3eef16c1e3258710730c (MD5) Previous issue date: 2006<br>Resumo: Este trabalho apresenta uma nova abordagem de resolução, por algoritmo memético e pela coevolução de algoritmo memético com redes neurais, para o problema de escalonamento de tarefas em máquinas paralelas idênticas e para o problema de job shop com parâmet
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Procházka, Vít. "Pokročilé optimalizační modely v odpadovém hospodářství." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-231395.

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This thesis deals with an optimization of waste collection in a mid-sized town. The model is formulated based on requirements from a real process. To deal with this problem, the original memetic algorithm was developed and implemented in C++.
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Buriol, Luciana Salete. "Algoritmo memetico para o problema do caixeiro viajante assimetrico como parte de um framework para algoritmos evolutivos." [s.n.], 2000. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261832.

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Orientador: Paulo Morelato França<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-12T02:08:09Z (GMT). No. of bitstreams: 1 Buriol_LucianaSalete_M.pdf: 8595148 bytes, checksum: 8048854c00a24631aefeb449304ce2bd (MD5) Previous issue date: 2000<br>Resumo: Dentre a gama de técnicas heurísticas e exatas existentes para a resolução de problemas combinatórios, os algoritmos populacionais genéticos e meméticos têm se destacado devido a sua boa performance. Em especial, os algoritmos meméticos podem
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Dang, Hieu. "Adaptive multiobjective memetic optimization: algorithms and applications." Journal of Cognitive Informatics and Natural Intelligence, 2012. http://hdl.handle.net/1993/30856.

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The thesis presents research on multiobjective optimization based on memetic computing and its applications in engineering. We have introduced a framework for adaptive multiobjective memetic optimization algorithms (AMMOA) with an information theoretic criterion for guiding the selection, clustering, and local refinements. A robust stopping criterion for AMMOA has also been introduced to solve non-linear and large-scale optimization problems. The framework has been implemented for different benchmark test problems with remarkable results. This thesis also presents two applications of these
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Aldogan, Deniz. "Memetic Algorithms For Timetabling Problems In Private Schools." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/3/12606218/index.pdf.

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The aim of this study is to introduce a real-world timetabling problem that exists in some private schools in Turkey and to solve such problem instances utilizing memetic algorithms. Being a new type of problem and for privacy reasons, there is no real data available. Hence for benchmarking purposes, a random data generator has been implemented. Memetic algorithms (MAs) combining genetic algorithms and hill-climbing are applied to solve synthetic problem instances produced by this generator. Different types of recombination and mutation operators based on the hierarchical structure of the
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Fischer, Thomas. "Distributed memetic algorithms for graph theoretical combinatorial optimization problems." Berlin Logos-Verl, 2008. http://d-nb.info/994066945/04.

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Caraffini, Fabio. "Novel memetic computing structures for continuous optimisation." Thesis, De Montfort University, 2014. http://hdl.handle.net/2086/10629.

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This thesis studies a class of optimisation algorithms, namely Memetic Computing Structures, and proposes a novel set of promising algorithms that move the first step towards an implementation for the automatic generation of optimisation algorithms for continuous domains. This thesis after a thorough review of local search algorithms and popular meta-heuristics, focuses on Memetic Computing in terms of algorithm structures and design philosophy. In particular, most of the design carried out during my doctoral studies is inspired by the lex parsimoniae, aka Ockham’s Razor. It has been shown how
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Books on the topic "Algoritmi memetici"

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Goh, Chi-Keong, Yew-Soon Ong, and Kay Chen Tan, eds. Multi-Objective Memetic Algorithms. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88051-6.

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Neri, Ferrante, Carlos Cotta, and Pablo Moscato, eds. Handbook of Memetic Algorithms. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23247-3.

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Carlos, Cotta, Moscato Pablo, and SpringerLink (Online service), eds. Handbook of Memetic Algorithms. Springer-Verlag Berlin Heidelberg, 2012.

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C, Tan K., Goh Chi-Keong, Ong Yew Soon, and SpringerLink (Online service), eds. Multi-Objective Memetic Algorithms. Springer Berlin Heidelberg, 2009.

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Hart, William E., J. E. Smith, and N. Krasnogor, eds. Recent Advances in Memetic Algorithms. Springer-Verlag, 2005. http://dx.doi.org/10.1007/3-540-32363-5.

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Hemanth, D. Jude, B. Vinoth Kumar, and G. R. Karpagam Manavalan, eds. Recent Advances on Memetic Algorithms and its Applications in Image Processing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1362-6.

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Schönberger, Jörn. Operational freight carrier planning: Basic concepts, optimization models and advanced memetic algorithms. Springer, 2005.

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Clancey, Owen. Dosimetric Optimization Method for CyberKnife Robotic RadioSurgery System Using a Memetic Algorithm. [publisher not identified], 2011.

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Nagaratnam, Suganthan Ponnuthurai, Das Swagatam, Satapathy Suresh Chandra, and SpringerLink (Online service), eds. Swarm, Evolutionary, and Memetic Computing: Second International Conference, SEMCCO 2011, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011, Proceedings, Part II. Springer-Verlag GmbH Berlin Heidelberg, 2011.

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Tan, Kay Chen, Chi-Keong Goh, and Yew-Soon Ong. Multi-Objective Memetic Algorithms. Springer, 2010.

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Book chapters on the topic "Algoritmi memetici"

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Du, Ke-Lin, and M. N. S. Swamy. "Memetic Algorithms." In Search and Optimization by Metaheuristics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41192-7_19.

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Krasnogor, Natalio. "Memetic Algorithms." In Handbook of Natural Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-92910-9_29.

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Truszkowski, Walt, Christopher Rouff, Mohammad Akhavannik, and Edward Tunstel. "Memetic Algorithms." In SpringerBriefs in Electrical and Computer Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37952-0_4.

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Moscato, Pablo, Carlos Cotta, and Alexandre Mendes. "Memetic Algorithms." In New Optimization Techniques in Engineering. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-39930-8_3.

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Hao, Jin-Kao, and Xiangjing Lai. "Memetic Algorithms." In Springer Optimization and Its Applications. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38310-6_12.

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Cotta, Carlos, Luke Mathieson, and Pablo Moscato. "Memetic Algorithms." In Handbook of Heuristics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-07124-4_29.

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Cotta, Carlos, Luke Mathieson, and Pablo Moscato. "Memetic Algorithms." In Handbook of Heuristics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-07153-4_29-1.

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Cotta, Carlos, Luke Mathieson, and Pablo Moscato. "Memetic Algorithms." In Handbook of Heuristics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-319-07153-4_29-2.

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Jaszkiewicz, Andrzej, Hisao Ishibuchi, and Qingfu Zhang. "Multiobjective Memetic Algorithms." In Handbook of Memetic Algorithms. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23247-3_13.

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Gupta, Abhishek, and Yew-Soon Ong. "Canonical Memetic Algorithms." In Adaptation, Learning, and Optimization. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02729-2_2.

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Conference papers on the topic "Algoritmi memetici"

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Misir, Mustafa, Stephanus Daniel Handoko, and Hoong Chuin Lau. "Building algorithm portfolios for memetic algorithms." In GECCO '14: Genetic and Evolutionary Computation Conference. ACM, 2014. http://dx.doi.org/10.1145/2598394.2598455.

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Costa, Celso M. da, Fernado L. Dotti, Eder N. Mathias, and Felipe M. Müller. "A Distributed Architecture Supporting Heuristic and Metaheuristic Optimization Methods." In Simpósio de Arquitetura de Computadores e Processamento de Alto Desempenho. Sociedade Brasileira de Computação, 2001. http://dx.doi.org/10.5753/sbac-pad.2001.22206.

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This paper presents a distributed software architecture that allows the cooperation among research institutions in the field of Operations Research. It has as main aims to share existing algorithms for optimization problems, to allow the easy testing of these algorithms with existing instances, and to share computational power among the cooperating institutions. This is achieved respecting the autonomy and heterogeneity of the cooperating institutions. The five functional blocks that build the architecture are discussed here and also a study case of a Parallel Memetic Algorithm to solve the Tr
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Porumbel, Daniel Cosmin, Jin-Kao Hao, and Pascale Kuntz. "Spacing memetic algorithms." In the 13th annual conference. ACM Press, 2011. http://dx.doi.org/10.1145/2001576.2001720.

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Liu, Bo, Juan-Juan Xu, Bin Qian, Jian-Rong Wang, and Yan-Bin Chu. "Probabilistic memetic algorithm for flowshop scheduling." In 2013 IEEE Workshop on Memetic Computing (MC). IEEE, 2013. http://dx.doi.org/10.1109/mc.2013.6608208.

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Hongwei Mo and Longlong Meng. "Research on evolution hardware design based on memetic algorithm." In 2013 IEEE Workshop on Memetic Computing (MC). IEEE, 2013. http://dx.doi.org/10.1109/mc.2013.6608204.

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Wang, Juan, Ke Tang, and Xin Yao. "A memetic algorithm for uncertain Capacitated Arc Routing Problems." In 2013 IEEE Workshop on Memetic Computing (MC). IEEE, 2013. http://dx.doi.org/10.1109/mc.2013.6608210.

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Dinneen, Michael J., and Kuai Wei. "On the analysis of a (1+1) adaptive memetic algorithm." In 2013 IEEE Workshop on Memetic Computing (MC). IEEE, 2013. http://dx.doi.org/10.1109/mc.2013.6608203.

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Sun, Yiwen, Zexuan Zhu, Shan He, and Zhen Ji. "A coevolving memetic algorithm for simultaneous partitional clustering and feature weighting." In 2013 IEEE Workshop on Memetic Computing (MC). IEEE, 2013. http://dx.doi.org/10.1109/mc.2013.6608201.

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Jula, Amin, Zalinda Othman, and Elankovan Sundararajan. "A hybrid imperialist competitive-gravitational attraction search algorithm to optimize cloud service composition." In 2013 IEEE Workshop on Memetic Computing (MC). IEEE, 2013. http://dx.doi.org/10.1109/mc.2013.6608205.

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Yu Shuaishuai, Fei Dong, and Bin Li. "Optimal Testing Resource Allocation for modular software systems based-on multi-objective evolutionary algorithms with effective local search strategy." In 2013 IEEE Workshop on Memetic Computing (MC). IEEE, 2013. http://dx.doi.org/10.1109/mc.2013.6608200.

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