Results 61 to 70 of about 5,527,579 (363)
MEAMVC: A Membrane Evolutionary Algorithm for Solving Minimum Vertex Cover Problem
IEEE Access, 2019 Since the membrane algorithm was proposed, it has been used for many optimization problems such as, traveling salesman problem, the knapsack problem, and so on. In membrane algorithms, the membranes have two functions: container and comparator.
Ping Guo, Changsheng Quan, Haizhu Chen
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Emergence of Novelty in Evolutionary Algorithms
The 2022 Conference on Artificial Life, 2022 One of the main problems of evolutionary algorithms is the convergence of the population to local minima. In this paper, we explore techniques that can avoid this problem by encouraging a diverse behavior of the agents through a shared reward system.
Herel, David +3 more
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Exploring the role of cyclin D1 in the pathogenesis of multiple myeloma beyond cell cycle regulation
Molecular Oncology, EarlyView.Cyclin D1 overexpression altered the cell adhesion pathway, while cyclin D2 upregulation had less impact on pathway enrichment analysis. Multiple myeloma (MM) patients with cyclin D1 overexpression showed reduced CD56 expression and increased circulating tumor cells (CTC) levels, suggesting that cyclin D1 may contribute to MM cell dissemination ...
Ignacio J. Cardona‐Benavides +13 more
wiley +1 more source
A survey on evolutionary ensemble learning algorithm
智能科学与技术学报, 2021 Evolutionary ensemble learning integrates advantages of ensemble learning and evolutionary algorithm and is widely used in machine learning, data mining, and pattern recognition.Firstly, the theoretical basis, formation, and taxonomy are introduced ...
Yi HU +4 more
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Decrypting cancer's spatial code: from single cells to tissue niches
Molecular Oncology, EarlyView.Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source
Understanding and measuring mechanical signals in the tumor stroma
FEBS Open Bio, EarlyView.This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz +3 more
wiley +1 more source
Jurnal Teknik Industri, 2001 This research gives an alternative to build production schedule using Evolutionary Algorithm. The objective function is minimizing production makespan. Shortest Processing Time (SPT) and Longest Processing Time (LPT) methods are used as initial solution.
Lala Febriana, I Gede Agus Widyadana
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A Solution to the N-Queens Problem Using Biogeography-Based Optimization
International Journal of Interactive Multimedia and Artificial Intelligence, 2017 Biogeography-based Optimization (BBO) is a global optimization algorithm based on population, governed by mathematics of biogeography, and dealing with geographical distribution of biological organisms.
Ali Habiboghli, Tayebeh Jalali
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International Journal of Distributed Sensor Networks, 2020 In modern times, swarm intelligence has played an increasingly important role in finding an optimal solution within a search range. This study comes up with a novel solution algorithm named QUasi-Affine TRansformation-Pigeon-Inspired Optimization ...
Xiao-Xue Sun +4 more
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Linear Evolutionary Algorithm [PDF]
, 2011 During the past three decades, global optimization problems (including single-objective optimization problems (SOP) and multi-objective optimization problems (MOP)) have been intensively studied not only in Computer Science, but also in Engineering.
Kezong Tang +3 more
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