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Relevant bibliographies by topics / NK landscape

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Academic literature on the topic 'NK landscape'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "NK landscape"

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Chen, Ren-Raw, Cameron D. Miller, and Puay Khoon Toh. "Search on an NK Landscape with Swarm Intelligence: Limitations and Future Research Opportunities." Algorithms 16, no. 11 (2023): 527. http://dx.doi.org/10.3390/a16110527.

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Swarm intelligence has promising applications for firm search and decision-choice problems and is particularly well suited for examining how other firms influence the focal firm’s search. To evaluate search performance, researchers examining firm search through simulation models typically build a performance landscape. The NK model is the leading tool used for this purpose in the management science literature. We assess the usefulness of the NK landscape for simulated swarm search. We find that the strength of the swarm model for examining firm search and decision-choice problems—the ability t

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Vuculescu, Oana, Mads Kock Pedersen, Jacob F. Sherson, and Carsten Bergenholtz. "Human Search in a Fitness Landscape: How to Assess the Difficulty of a Search Problem." Complexity 2020 (July 15, 2020): 1–11. http://dx.doi.org/10.1155/2020/7802169.

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Computational modeling is widely used to study how humans and organizations search and solve problems in fields such as economics, management, cultural evolution, and computer science. We argue that current computational modeling research on human problem-solving needs to address several fundamental issues in order to generate more meaningful and falsifiable contributions. Based on comparative simulations and a new type of visualization of how to assess the nature of the fitness landscape, we address two key assumptions that approaches such as the NK framework rely on: that the NK captures the

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Srivastava, Atul, and Vijay Khare. "Evolutionary Design and Fitness Landscapes of Digital Circuits using Genetic Algorit." WSEAS TRANSACTIONS ON ADVANCES in ENGINEERING EDUCATION 22 (July 22, 2025): 88–94. https://doi.org/10.37394/232010.2025.22.10.

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This paper introduces a method for evolving combinational digital circuits using a genetic algorithm guided by the NK fitness landscape model. The circuit design process is formulated as a search across a fitness landscape, where circuits with the highest fitness (100%) are selected from each generation. The evolutionary approach employs Cartesian Genetic Programming (CGP) for circuit representation and evaluates candidate circuits using two distinct fitness functions to identify the most efficient designs. By integrating the NK landscape framework, the research analyzes the structure and prop

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Gandolfi, Sara, Olli Dufva, Jani Huuhtanen, et al. "Functional Genomic Landscape of Natural Killer Cell Evasion in Multiple Myeloma." Blood 138, Supplement 1 (2021): 732. http://dx.doi.org/10.1182/blood-2021-153925.

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Abstract Natural killer (NK) cell-based therapies are considered promising future approaches for multiple myeloma (MM) treatment, but immune evasion mechanisms are poorly understood. To determine the mechanisms regulating MM cell response to NK cells, we performed genome-wide (GW) and targeted CRISPR screens in MM cell lines. To further investigate the transcriptional impact of genes identified as regulators of sensitivity to NK cells, we performed additional pooled CRISPR screens with a single-cell (sc) transcriptome readout using the CROP-seq platform and integrated these findings with data

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Herlin, Morten Krogh, Sara A. Yones, Eigil Kjeldsen, Linda Holmfeldt, and Henrik Hasle. "What Is Abnormal in Normal Karyotype Acute Myeloid Leukemia in Children? Analysis of the Mutational Landscape and Prognosis of the TARGET-AML Cohort." Genes 12, no. 6 (2021): 792. http://dx.doi.org/10.3390/genes12060792.

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Normal karyotype acute myeloid leukemia (NK-AML) constitutes 20–25% of pediatric AML and detailed molecular analysis is essential to unravel the genetic background of this group. Using publicly available sequencing data from the TARGET-AML initiative, we investigated the mutational landscape of NK-AML in comparison with abnormal karyotype AML (AK-AML). In 164 (97.6%) of 168 independent NK-AML samples, at least one somatic protein-coding mutation was identified using whole-genome or targeted capture sequencing. We identified a unique mutational landscape of NK-AML characterized by a higher prev

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Charap, Andrew J., Tomohiro Enokida, Rachel Brody, et al. "Landscape of natural killer cell activity in head and neck squamous cell carcinoma." Journal for ImmunoTherapy of Cancer 8, no. 2 (2020): e001523. http://dx.doi.org/10.1136/jitc-2020-001523.

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Head and neck squamous cell carcinoma (HNSCC) encompasses a set of cancers arising from the epithelia of the upper aerodigestive tract, accounting for a significant burden of disease worldwide due to the disease’s mortality, morbidity, and predilection for recurrence. Prognosis of HNSCC in the recurrent and/or metastatic (R/M-HNSCC) setting is especially poor and effective treatment options increasingly rely on modulating T-cell antitumor responses. Still, immunotherapy response rates are generally low, prompting the exploration of novel strategies that incorporate other effector cells within

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Kulkarni, Sourabh, Priyanka Verma, and R. Mukundan. "Performance landscape modeling in digital manufacturing firm." Business Process Management Journal 25, no. 3 (2019): 533–52. http://dx.doi.org/10.1108/bpmj-11-2017-0333.

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PurposeThe purpose of this paper is to update existing Kauffmann’s NK model to evaluate the manufacturing fitness of strategic business capabilities. The updated model is tested in a digital manufacturing (DM) setting to investigate the sequence for developing cumulative capabilities that can yield the maximum payoff.Design/methodology/approachThe authors develop a grey–DEMATEL–NK fitness model and show its application, through a case study, to a DM firm in India.FindingsThe grey–DEMATEL–NK model helps evaluate multiple manufacturing capabilities and indicates that quality–flexibility–cost–del

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Choi, Sung-Soon, Kyomin Jung, and Jeong Han Kim. "Phase transition in a random NK landscape model." Artificial Intelligence 172, no. 2-3 (2008): 179–203. http://dx.doi.org/10.1016/j.artint.2007.06.002.

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Gurney, Mark, and Michael O’Dwyer. "Realizing Innate Potential: CAR-NK Cell Therapies for Acute Myeloid Leukemia." Cancers 13, no. 7 (2021): 1568. http://dx.doi.org/10.3390/cancers13071568.

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Next-generation cellular immunotherapies seek to improve the safety and efficacy of approved CD19 chimeric antigen receptor (CAR) T-cell products or apply their principles across a growing list of targets and diseases. Supported by promising early clinical experiences, CAR modified natural killer (CAR-NK) cell therapies represent a complementary and potentially off-the-shelf, allogeneic solution. While acute myeloid leukemia (AML) represents an intuitive disease in which to investigate CAR based immunotherapies, key biological differences to B-cell malignancies have complicated progress to dat

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Takahashi, Hideyuki, Toshiyuki Matsuyama, Hiroe Tada, Hiroyuki Hagiwara, Miho Uchida, and Kazuaki Chikamatsu. "Diverse Landscape of Group 1 Innate Lymphoid Cells Predicts the Prognosis in Patients with Head and Neck Squamous Cell Carcinoma." Cancers 17, no. 12 (2025): 2047. https://doi.org/10.3390/cancers17122047.

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Objectives: Innate lymphoid cells (ILCs) and natural killer (NK) cells represent a diverse group of innate immune populations that modulate immune responses and tissue equilibrium across various diseases, including cancer. In the present study, we analyzed single-cell RNA sequencing (scRNA-seq) data to explore the landscape and functional status of ILC subsets in patients with head and neck squamous cell carcinoma (HNSCC). Methods: The GSE164690 dataset, which includes preprocessed scRNA-seq and clinical data, was acquired from the Gene Expression Omnibus database. The Cancer Genome Atlas data

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Dissertations / Theses on the topic "NK landscape"

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Gao, Yong. "Threshold phenomena in NK landscapes." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ60428.pdf.

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Cai, Xinye. "A multi-objective GP-PSO hybrid algorithm for gene regulatory network modeling." Diss., Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1492.

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Manukyan, Narine. "Analysis and Modeling of Quality Improvement on Clinical Fitness Landscapes." ScholarWorks @ UVM, 2014. http://scholarworks.uvm.edu/graddis/253.

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Widespread unexplained variations in clinical practices and patient outcomes, together with rapidly growing availability of data, suggest major opportunities for improving the quality of medical care. One way that healthcare practitioners try to do that is by participating in organized healthcare quality improvement collaboratives (QICs). In QICs, teams of practitioners from different hospitals exchange information on clinical practices, with the aim of improving health outcomes at their own institutions. However, what works in one hospital may not work in others with different local contexts,

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Books on the topic "NK landscape"

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Thurner, Stefan, Rudolf Hanel, and Peter Klimekl. Evolutionary Processes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198821939.003.0005.

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Evolutionary processes combine many features of complex systems: they are algorithmic; states co-evolve with interactions; they show power law statistics; they are selforganized critical; and they are driven non-equilibrium systems. Evolution is a dynamical process that changes the composition of large sets of interconnected elements, entities, or species over time. The essence of evolutionary processes is that, through the interaction of existing entities with each other and with their environment, they give rise to an open-ended process of creation and destruction of new entities. Evolutiona

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Book chapters on the topic "NK landscape"

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van Stein, Bas, Michael Emmerich, and Zhiwei Yang. "Fitness Landscape Analysis of NK Landscapes and Vehicle Routing Problems by Expanded Barrier Trees." In EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01128-8_6.

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Giannoccaro, Ilaria. "Complex Systems Methodologies for Behavioural Research in Operations Management: NK Fitness Landscape." In Behavioral Issues in Operations Management. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4878-4_2.

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Li, Rui, Michael T. M. Emmerich, Jeroen Eggermont, et al. "Mixed-Integer NK Landscapes." In Parallel Problem Solving from Nature - PPSN IX. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11844297_5.

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Gao, Yong, and Joseph Culberson. "On the Treewidth of NK Landscapes." In Genetic and Evolutionary Computation — GECCO 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45105-6_106.

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Basseur, Matthieu, and Adrien Goëffon. "Hill-Climbing Behavior on Quantized NK-Landscapes." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-44973-4_22.

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Pasia, Joseph M., Hernán Aguirre, and Kiyoshi Tanaka. "Path Relinking on Many-Objective NK-Landscapes." In Parallel Problem Solving from Nature, PPSN XI. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15844-5_68.

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Aguirre, Hernán, and Kiyoshi Tanaka. "Performance and Scalability of Genetic Algorithms on NK-Landscapes." In Recent Advances in Evolutionary Computation for Combinatorial Optimization. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-70807-0_3.

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Eiben, A. E., and C. A. Schippers. "Multi-parent's niche: N-ary crossovers on NK-landscapes." In Parallel Problem Solving from Nature — PPSN IV. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61723-x_996.

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Hauschild, Mark, and Martin Pelikan. "Performance of Network Crossover on NK Landscapes and Spin Glasses." In Parallel Problem Solving from Nature, PPSN XI. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15871-1_47.

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Verel, Sébastien, Arnaud Liefooghe, Laetitia Jourdan, and Clarisse Dhaenens. "Pareto Local Optima of Multiobjective NK-Landscapes with Correlated Objectives." In Evolutionary Computation in Combinatorial Optimization. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20364-0_20.

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Conference papers on the topic "NK landscape"

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Xiaohui Hu and Russell Eberhart. "Human vs. swarm: An NK landscape game." In 2008 IEEE Swarm Intelligence Symposium (SIS). IEEE, 2008. http://dx.doi.org/10.1109/sis.2008.4668283.

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Choi, Sung-Soon, Kyomin Jung, and Jeong Han Kim. "Phase transition in a random NK landscape model." In the 2005 conference. ACM Press, 2005. http://dx.doi.org/10.1145/1068009.1068212.

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Nielsen, Sune S., Grégoire Danoy, Pascal Bouvry, and El-Ghazali Talbi. "NK Landscape Instances Mimicking the Protein Inverse Folding Problem Towards Future Benchmarks." In GECCO '15: Genetic and Evolutionary Computation Conference. ACM, 2015. http://dx.doi.org/10.1145/2739482.2768438.

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ANCA, BOCANET, IANDOLI LUCA, PONSIGLIONE CRISTINA, and ZOLLO GIUSEPPE. "ORGANIZATIONAL LEARNING IN COMPLEX ENVIRONMENTS: EXPLORATION AND EXPLOITATION IN A NK LANDSCAPE." In Proceedings of the XVII SIGEF Congress. WORLD SCIENTIFIC, 2012. http://dx.doi.org/10.1142/9789814415774_0026.

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Giannoccaro, I. "A toolkit based on NK fitness landscape for behavioral investigation in complex supply chains." In 2014 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2014. http://dx.doi.org/10.1109/ieem.2014.7058853.

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Mehra, Priyanka, and Arend Hintze. "An extension to the NK fitness landscape model to study pleiotropy, epistasis, and ruggedness independently." In 2022 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2022. http://dx.doi.org/10.1109/ssci51031.2022.10022166.

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Bernareggi, Davide, Qi Xie, Briana Prager, Li Xiqing, Silvio Gutkind, and Dan S. Kaufman. "Abstract PR03: Use of CRISPR knockout screen to identify genes that regulate tumor cell sensitivity to NK cell-based immunotherapy." In Abstracts: AACR Special Conference on the Evolving Landscape of Cancer Modeling; March 2-5, 2020; San Diego, CA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.camodels2020-pr03.

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Whitley, Darrell. "Mk Landscapes, NK Landscapes, MAX-kSAT." In GECCO '15: Genetic and Evolutionary Computation Conference. ACM, 2015. http://dx.doi.org/10.1145/2739480.2754809.

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Chen, Wenxiang, Darrell Whitley, Doug Hains, and Adele Howe. "Second order partial derivatives for NK-landscapes." In Proceeding of the fifteenth annual conference. ACM Press, 2013. http://dx.doi.org/10.1145/2463372.2463437.

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Cosson, Raphaël, Roberto Santana, Bilel Derbel, and Arnaud Liefooghe. "Multi-objective NK landscapes with heterogeneous objectives." In GECCO '22: Genetic and Evolutionary Computation Conference. ACM, 2022. http://dx.doi.org/10.1145/3512290.3528858.

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