Academic literature on the topic 'Pareto differential evolution'

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Journal articles on the topic "Pareto differential evolution"

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ABBASS, H. A., and R. SARKER. "THE PARETO DIFFERENTIAL EVOLUTION ALGORITHM." International Journal on Artificial Intelligence Tools 11, no. 04 (2002): 531–52. http://dx.doi.org/10.1142/s0218213002001039.

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The use of evolutionary algorithms (EAs) to solve problems with multiple objectives (known as Vector Optimization Problems (VOPs)) has attracted much attention recently. Being population based approaches, EAs offer a means to find a group of pareto-optimal solutions in a single run. Differential Evolution (DE) is an EA that was developed to handle optimization problems over continuous domains. The objective of this paper is to introduce a novel Pareto Differential Evolution (PDE) algorithm to solve VOPs. The solutions provided by the proposed algorithm for five standard test problems, is compe
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SARKER, RUHUL, and HUSSEIN A. ABBASS. "DIFFERENTIAL EVOLUTION FOR SOLVING MULTIOBJECTIVE OPTIMIZATION PROBLEMS." Asia-Pacific Journal of Operational Research 21, no. 02 (2004): 225–40. http://dx.doi.org/10.1142/s0217595904000217.

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The use of evolutionary strategies (ESs) to solve problems with multiple objectives [known as vector optimization problems (VOPs)] has attracted much attention recently. Being population-based approaches, ESs offer a means to find a set of Pareto-optimal solutions in a single run. Differential evolution (DE) is an ES that was developed to handle optimization problems over continuous domains. The objective of this paper is to introduce a novel Pareto-frontier differential evolution (PDE) algorithm to solve VOPs. The solutions provided by the proposed algorithm for two standard test problems, ou
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Singh, Shailendra Pratap, and Anoj Kumar. "Pareto based differential evolution with homeostasis based mutation." Journal of Intelligent & Fuzzy Systems 32, no. 5 (2017): 3245–57. http://dx.doi.org/10.3233/jifs-169268.

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Gao, Yuelin, and Junmei Liu. "Multiobjective Differential Evolution Algorithm with Multiple Trial Vectors." Abstract and Applied Analysis 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/172041.

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This paper presents a multiobjective differential evolution algorithm with multiple trial vectors. For each individual in the population, three trial individuals are produced by the mutation operator. The offspring is produced by using the crossover operator on the three trial individuals. Good individuals are selected from the parent and the offspring and then are put in the intermediate population. Finally, the intermediate population is sorted according to the Pareto dominance relations and the crowding distance, and then the outstanding individuals are selected as the next evolutionary pop
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Qu, Dan, Hualin Xiao, Huafei Chen, and Hongyi Li. "An improved differential evolution algorithm for multi-modal multi-objective optimization." PeerJ Computer Science 10 (March 14, 2024): e1839. http://dx.doi.org/10.7717/peerj-cs.1839.

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Multi-modal multi-objective problems (MMOPs) have gained much attention during the last decade. These problems have two or more global or local Pareto optimal sets (PSs), some of which map to the same Pareto front (PF). This article presents a new affinity propagation clustering (APC) method based on the Multi-modal multi-objective differential evolution (MMODE) algorithm, called MMODE_AP, for the suit of CEC’2020 benchmark functions. First, two adaptive mutation strategies are adopted to balance exploration and exploitation and improve the diversity in the evolution process. Then, the affinit
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Goudos, S. K., and J. N. Sahalos. "Pareto Optimal Microwave Filter Design Using Multiobjective Differential Evolution." IEEE Transactions on Antennas and Propagation 58, no. 1 (2010): 132–44. http://dx.doi.org/10.1109/tap.2009.2032100.

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Peng, Shunshun, and Taolin Guo. "Multi-Objective Service Composition Using Enhanced Multi-Objective Differential Evolution Algorithm." Computational Intelligence and Neuroscience 2023 (March 4, 2023): 1–10. http://dx.doi.org/10.1155/2023/8184367.

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In recent years, the optimization of multi-objective service composition in distributed systems has become an important issue. Existing work makes a smaller set of Pareto-optimal solutions to represent the Pareto Front (PF). However, they do not support complex mapping of the Pareto-optimal solutions to quality of service (QoS) objective space, thus having limitations in providing a representative set of solutions. We propose an enhanced multi-objective differential evolution algorithm to seek a representative set of solutions with good proximity and distributivity. Specially, we propose a dua
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Adeyemo, J. A., and O. O. Olofintoye. "Evaluation of Combined Pareto Multiobjective Differential Evolution on Tuneable Problems." International Journal of Simulation Modelling 13, no. 3 (2014): 276–87. http://dx.doi.org/10.2507/ijsimm13(3)2.264.

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Goudos, Sotirios K., Katherine Siakavara, Elias Vafiadis, and John N. Sahalos. "PARETO OPTIMAL YAGI-UDA ANTENNA DESIGN USING MULTI-OBJECTIVE DIFFERENTIAL EVOLUTION." Progress In Electromagnetics Research 105 (2010): 231–51. http://dx.doi.org/10.2528/pier10052302.

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Wisittipanich, Warisa, and Voratas Kachitvichyanukul. "Mutation strategies toward Pareto front for multi-objective differential evolution algorithm." International Journal of Operational Research 19, no. 3 (2014): 315. http://dx.doi.org/10.1504/ijor.2014.059507.

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Dissertations / Theses on the topic "Pareto differential evolution"

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Teo, Jason T. W. Information Technology &amp Electrical Engineering Australian Defence Force Academy UNSW. "Pareto multi-objective evolution of legged embodied organisms." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Information Technology and Electrical Engineering, 2003. http://handle.unsw.edu.au/1959.4/38682.

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The automatic synthesis of embodied creatures through artificial evolution has become a key area of research in robotics, artificial life and the cognitive sciences. However, the research has mainly focused on genetic encodings and fitness functions. Considerably less has been said about the role of controllers and how they affect the evolution of morphologies and behaviors in artificial creatures. Furthermore, the evolutionary algorithms used to evolve the controllers and morphologies are pre-dominantly based on a single objective or a weighted combination of multiple objectives, and a large
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Books on the topic "Pareto differential evolution"

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Mufwene, Salikoko S. An Ecological Account of the Emergence and Evolution of English. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190611040.003.0020.

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What follows is a contact-based account of the emergence of English. Though the role of language contact in the development of World Englishes is often addressed as a coda within History of the English Language (HEL) courses, this chapter presents an alternative story, highlighting contact situations in Old English, Middle English, and Early Modern English. The creolist perspective offered here suggests that History of English instructors should look closer at the received doctrine of HEL and consider whether an ecological model should not be used to make sense of the story of Englishes. A per
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Faquin, William C., Justin A. Bishop, James S. Lewis, Susan Müller, Lester D. R. Thompson, and John M. Wright. Tumors of the Upper Aerodigestive Tract, Ear, and Jaw. American Registry of PathologyArlington, Virginia, 2025. https://doi.org/10.55418/9781933477619.

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The head and neck region is a marvel of anatomic complexity and it encompasses a broad array of subsites, each with its own architectural nuances. This histologic richness begets a commensurate diversity of disease. Advances in our understanding of the genetic and epigenetic alterations that underlie many of these tumors have not only refined their classification, but also reshaped our approaches to diagnosis, prognosis, and therapy. This Fascicle reflects these scientific and diagnostic evolutions. Departing from prior editions this volume is organized by anatomic subsite. Each chapter delves
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Guerrieri, Gianluca, Giovanni Luchetti, Michele Angelo Lupoi, Paola Manes, Marco Martino, and Thomas Tassani, eds. Fiducia e destinazione patrimoniale. Bologna University Press, 2022. http://dx.doi.org/10.30682/sg312.

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Con riferimento ai temi della fiducia e della destinazione patrimoniale si avverte l’esigenza, sul piano scientifico, di una sistemazione idonea ad individuare i principi e gli elementi strutturali delle diverse fattispecie. Il sintagma “proprietà fiduciaria” evoca una pluralità di istituti che, ancorché in larga parte omogenei sul piano degli effetti economici e degli interessi concreti, risultano fortemente differenziati nella elaborazione dogmatica e in talune schematizzazioni teoriche. L’innegabile diversa origine degli istituti e la non totale omologazione sul piano effettuale non impedis
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Book chapters on the topic "Pareto differential evolution"

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Zaharie, Daniela, and Dana Petcu. "Adaptive Pareto Differential Evolution and Its Parallelization." In Parallel Processing and Applied Mathematics. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24669-5_34.

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Singh, Shailendra Pratap, Gyanendra Kumar, and Vibhav Prakash Sing. "Pareto-Based Differential Evolution Algorithm Using New Adaptive Mutation Approach." In Intelligent Systems and Smart Infrastructure. CRC Press, 2023. http://dx.doi.org/10.1201/9781003357346-51.

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Olofintoye, Oluwatosin, Josiah Adeyemo, and Fred Otieno. "A Combined Pareto Differential Evolution Approach for Multi-objective Optimization." In EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01460-9_10.

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Wisittipanich, Warisa, and Voratas Kachitvichyanukul. "A Pareto-Based Differential Evolution Algorithm for Multi-Objective Job Shop Scheduling Problems." In Proceedings of the Institute of Industrial Engineers Asian Conference 2013. Springer Singapore, 2013. http://dx.doi.org/10.1007/978-981-4451-98-7_133.

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da Silva Maximiano, Marisa, Miguel A. Vega-Rodríguez, Juan A. Gómez-Pulido, and Juan M. Sánchez-Pérez. "Parameter Analysis for Differential Evolution with Pareto Tournaments in a Multiobjective Frequency Assignment Problem." In Intelligent Data Engineering and Automated Learning - IDEAL 2009. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04394-9_98.

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Wisittipanich, Warisa, and Voratas Kachitvichyanukul. "A Pareto-Archived Differential Evolution Algorithm for Multi-Objective Flexible Job Shop Scheduling Problems." In EcoProduction. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07287-6_23.

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Yan, Li, Yiran Li, Boyang Qu, Baihao Qiao, Hongxin Duan, and Shunge Guo. "Differential Evolution Using Special Sorting for Multimodal Multi-objective Optimization with Local Pareto Sets." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36622-2_39.

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Rubio-Largo, Álvaro, Miguel A. Vega-Rodríguez, Juan A. Gómez-Pulido, and Juan M. Sánchez-Pérez. "Improving Optical WDM Networks by Using a Multi-core Version of Differential Evolution with Pareto Tournaments." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14883-5_80.

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Fernández, Juan Carlos, César Hervás, Francisco José Martínez, Pedro Antonio Gutiérrez, and Manuel Cruz. "Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02319-4_52.

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Enitan, Abimbola M., Josiah Adeyemo, O. Oluwatosin Olofintoye, Faizal Bux, and Feroz M. Swalaha. "Multi-objective Optimization of Methane Producing UASB Reactor Using a Combined Pareto Multi–objective Differential Evolution Algorithm (CPMDE)." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07494-8_22.

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Conference papers on the topic "Pareto differential evolution"

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Chen, Xiao-qing, Zhong-xi Hou, and Jian-Xia Liu. "Multi-objective Optimization with Modified Pareto Differential Evolution." In 2008 International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2008. http://dx.doi.org/10.1109/icicta.2008.365.

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Qin, Hui, Jianzhong Zhou, Yinghai Li, Li Liu, and Youlin Lu. "Enhanced Strength Pareto Differential Evolution (ESPDE): An Extension of Differential Evolution for Multi-objective Optimization." In 2008 Fourth International Conference on Natural Computation. IEEE, 2008. http://dx.doi.org/10.1109/icnc.2008.930.

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Lezama, Fernando, Ansel Y. Rodriguez-Gonzalez, and Enrique Munoz de Cote. "Load pattern clustering using differential evolution with Pareto Tournament." In 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2016. http://dx.doi.org/10.1109/cec.2016.7743801.

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Ruhai Lei and Yuhu Cheng. "A pareto-based differential evolution algorithm for multi-objective optimization problems." In 2010 Chinese Control and Decision Conference (CCDC). IEEE, 2010. http://dx.doi.org/10.1109/ccdc.2010.5498305.

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Cruz-Ramirez, M., J. C. Fernandez, F. Fernandez-Navarro, J. Sanchez-Monedero, and C. Hervas-Martinez. "Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front." In 2011 IEEE Symposium On Differential Evolution - Part Of 17273 - 2011 Ssci. IEEE, 2011. http://dx.doi.org/10.1109/sde.2011.5952067.

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Gonzalez-Alvarez, David L., Miguel A. Vega-Rodriguez, Juan A. Gomez-Pulido, and Juan M. Sanchez-Perez. "Solving the motif discovery problem by using Differential Evolution with Pareto Tournaments." In 2010 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2010. http://dx.doi.org/10.1109/cec.2010.5586068.

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Jian Fu, Qing Liu, Xinmin Zhou, Kui Xiang, and Zhigang Zeng. "An adaptive variable strategy pareto differential evolution algorithm for multi-objective optimization." In 2008 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2008. http://dx.doi.org/10.1109/cec.2008.4630864.

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Wang, Xiao-zhen, Peng Li, and Guo-yan Yu. "Multi-objective Hybrid Differential Evolution Algorithm Based on Pareto Optimal Solution Migration." In 2010 International Conference on Computational Aspects of Social Networks (CASoN 2010). IEEE, 2010. http://dx.doi.org/10.1109/cason.2010.127.

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Charles, Alan J., and Geoffrey T. Parks. "Mixed Oxide LWR Assembly Design Optimization Using Differential Evolution Algorithms." In 2017 25th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icone25-67936.

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Two new multi-objective differential evolution (DE) algorithms are used to optimize heterogeneous low-enriched uranium + mixed oxide fuel assemblies for use in a pressurized water reactor. The objectives were to maximize plutonium content and minimize the power peaking factor. A performance comparison to a genetic algorithm is used to evaluate the applicability of DE algorithms to nuclear fuel assembly design optimization problems. Results show that DE performs highly competitively against a more established algorithm and can arguably better represent the trade-off between both objectives thro
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Nosratabadi, Seyyed Mostafa, and Javad Modarresi. "Phasor measurement units placement considering double contingency by differential evolution algorithm based on Pareto method." In 2017 Smart Grid Conference (SGC). IEEE, 2017. http://dx.doi.org/10.1109/sgc.2017.8308885.

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Reports on the topic "Pareto differential evolution"

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Izhar, Shamay, Maureen Hanson, and Nurit Firon. Expression of the Mitochondrial Locus Associated with Cytoplasmic Male Sterility in Petunia. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7604933.bard.

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The main goal of the proposed research was to continue the mutual investigations into the molecular basis of CMS and male fertility restoration [MRF], with the ultimate goal of understanding these phenomena in higher plants. The experiments focused on: (1) dissecting apart the complex CMS - specific mitochondrial S-Pcf locus, in order to distinguish its essential parts which cause sterility from other parts and study its molecular evolution. (2) Studying the expression of the various regions of the S-Pcf locus in fertile and sterile lines and comparing the structure and ultrastructure of steri
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Hulata, Gideon, Thomas D. Kocher, Micha Ron, and Eyal Seroussi. Molecular Mechanisms of Sex Determination in Cultured Tilapias. United States Department of Agriculture, 2010. http://dx.doi.org/10.32747/2010.7697106.bard.

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Tilapias are among the most important aquaculture commodities worldwide. Commercial production of tilapia is based on monosex culture of males. Current methods for producing all-male fingerlings, including hormone treatments and genetic manipulations, are not entirely reliable, in part because of the genetic complexity of sex determination and sexual differentiation in tilapias. The goals of this project are to map QTL and identify genes regulating sex determination in commonly cultured tilapia species, in order to provide a rational basis for designing reliable genetic approaches for producin
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