Introducing Iterative Model Calibration (IMC) v1.0: a generalizable framework for numerical model calibration with a CAESAR-Lisflood case study by C. Banerjee, K. Nguyen, C. Fookes, G. Hancock, T. Coulthard

“…This approach efficiently identifies the optimal set of parameters for a given numerical model through a strategy based on a Gaussian neighborhood algorithm. Through experiments, we demonstrate the efficacy of IMC in calibrating the widely used landscape evolution model CAESAR-Lisflood (CL). …”
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Research on incremental deployment mechanism of network modality for polymorphic network environment by Jiong LI, Yuxiang HU, Pengshuai CUI, Le TIAN, Yongji DONG

“…Polymorphic networks support diverse network requirements and can coexist, evolve, and change on a unified physical or logical infrastructure in the form of network modality.They can maximize the innovation vitality of network technology driven by new applications.The evolution and development of modality require the incremental deployment of modality to meet the needs of convenience and privacy protection in the multi-user deployment process.However, the deployment of current network functions still uses the one-by-one deployment method, resulting in high complexity of the deployment of new modality, and mutual exposure of processing logic between different users.To address these issues, an incremental deployment mechanism for polymorphic network environments was proposed.Firstly, an incremental deployment mechanism for network modality was designed.Then, the incremental deployment of modality was abstracted as a graph merging problem based on this mechanism, and an adjacency list-based merge parsing graph algorithm was designed.The simulation results indicate that the proposed mechanism can achieve fast and correct merging of network modality, support incremental modality deployment, and greatly reduce the application deployment and service provision threshold of new network systems.…”
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A Comparative Study on Sideband Optimization in Time-Modulated Arrays by Ertugrul Aksoy, Erkan Afacan

“…During the investigations, differential evolution (DE) algorithm is chosen as the optimization tool. …”
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Research on incremental deployment mechanism of network modality for polymorphic network environment by Jiong LI, Yuxiang HU, Pengshuai CUI, Le TIAN, Yongji DONG

“…Polymorphic networks support diverse network requirements and can coexist, evolve, and change on a unified physical or logical infrastructure in the form of network modality.They can maximize the innovation vitality of network technology driven by new applications.The evolution and development of modality require the incremental deployment of modality to meet the needs of convenience and privacy protection in the multi-user deployment process.However, the deployment of current network functions still uses the one-by-one deployment method, resulting in high complexity of the deployment of new modality, and mutual exposure of processing logic between different users.To address these issues, an incremental deployment mechanism for polymorphic network environments was proposed.Firstly, an incremental deployment mechanism for network modality was designed.Then, the incremental deployment of modality was abstracted as a graph merging problem based on this mechanism, and an adjacency list-based merge parsing graph algorithm was designed.The simulation results indicate that the proposed mechanism can achieve fast and correct merging of network modality, support incremental modality deployment, and greatly reduce the application deployment and service provision threshold of new network systems.…”
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The Eve of Global Conflict or Contra Spem Spero? by O. V. Gaman-Golutvina

“…The influence of this geopolitical circumstance was reflected in the configuration of Russian statehood with its traditional emphasis on a rigid hierarchy of governance, a strictly vertical decision-making algorithm and the centralization of the territorial structure, as a result of which hierarchization was not just an attribute of the historical evolution of Russia, but an archetypal form of organization of the country’s political space. …”
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Determination of Anisotropic Mechanical Properties for Materials Processed by Laser Powder Bed Fusion by Even W. Hovig, Amin S. Azar, Frode Grytten, Knut Sørby, Erik Andreassen

“…An optimization algorithm is also proposed for determining the anisotropic elastic constants using only a few tensile test results. …”
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Integrating intracellular dynamics using CompuCell3D and Bionetsolver: applications to multiscale modelling of cancer cell growth and invasion. by Vivi Andasari, Ryan T Roper, Maciej H Swat, Mark A J Chaplain

“…CompuCell3D or CC3D provides an implementation of the lattice-based Cellular Potts Model or CPM (also known as the Glazier-Graner-Hogeweg or GGH model) and a Monte Carlo method based on the metropolis algorithm for system evolution. The integration of CC3D for cellular systems with Bionetsolver for subcellular systems enables us to develop a multiscale mathematical model and to study the evolution of cell behaviour due to the dynamics inside of the cells, capturing aspects of cell behaviour and interaction that is not possible using continuum approaches. …”
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A Cross-Calibration Approach for Coastline Extraction With Time Series Satellite Images by Hua Yang, Jintao Xia, Jiang Zhang

“…Due to tidal influences, the satellite images captured at different times have different water coverage in nearshore area. …”
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Research progress on test scenario of ship autonomous navigation by Lijia CHEN, Kai WANG, Liwen HUANG, Shengwei LI, Xinwei ZHOU, Yanzhi LIU

“…The performance and characteristics of different scenario construction methods are compared and described, and the problems of scenario construction methods are analyzed in combination with different testing requirements such as algorithm verification optimization, performance evaluation, and safety verification. …”
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Sparse Array Mutual Coupling Reduction by C. Larmour, N. Buchanan, V. Fusco, M. Ali Babar Abbasi

“…The paper conducts a comprehensive comparison of multiple array design optimisation techniques, including genetic algorithm, covariance matrix adaptation evolution strategy, particle swarm optimisation, trust-region framework, Nelder-Mead simplex algorithm, interpolated Quasi-Newton, and classic Powell. …”
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Physics-Informed Neural Network for Load Margin Assessment of Power Systems with Optimal Phasor Measurement Unit Placement by Murilo Eduardo Casteroba Bento

“…The IEEE 68-bus system and the Brazilian interconnected power system were chosen as the test systems to perform the case studies and evaluations. Three different metaheuristics called the Hiking Optimization Algorithm, Artificial Protozoa Optimizer, and Particle Swarm Optimization were applied and evaluated in the test system. …”
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Modeling of Collusion Behavior in the Electrical Market Based on Deep Deterministic Policy Gradient by Yifeng Liu, Jingpin Chen, Meng Chen, Zhongshi He, Ye Guo, Chenghan Li

“…The evolution of the electricity market has brought the issues of market equilibrium and collusion to the forefront of attention. …”
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Diagnostic Approach in Infants and Children with Mitochondrial Diseases by Ching-Shiang Chi

“…Therefore, follow-up evolution of clinical symptoms/signs and biochemical data is crucial. …”
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From Incoherence to Sustainability: Performance, Activism, and Social Media in the Most Recent Russian Poetry by Kirill Korchagin

“…The central hypothesis of this article is that all of these poets react differently to the methods of discursive organization provided (and enforced) by social networks and strive in different ways to liberate themselves from the censorship of the algorithm: some emphasize the discursive incoherence of the platform, while others, on the contrary, seek to develop a sustainable manner of uniting private discourses into a new totality. …”
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From Incoherence to Sustainability: Performance, Activism, and Social Media in the Most Recent Russian Poetry by Kirill Korchagin

“…The central hypothesis of this article is that all of these poets react differently to the methods of discursive organization provided (and enforced) by social networks and strive in different ways to liberate themselves from the censorship of the algorithm: some emphasize the discursive incoherence of the platform, while others, on the contrary, seek to develop a sustainable manner of uniting private discourses into a new totality. …”
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Genome-Wide Tool for Sensitive de novo Identification and Visualisation of Interspersed and Tandem Repeats by Ruslan Kalendar, Ulykbek Kairov

“…Studying these repeats of different origins is essential for understanding the evolution and adaptation of a given organism. …”
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Cultivation Method Analysis for Teachers’ Teaching Ability Driven by Artificial Intelligence Technology by Yanfang Chen, Shasha Xu

“…Aiming at the issues in BP network, this work constructs IPSO by improving the weight decay strategy and learning factor of PSO algorithm. Then, it uses IPSO to optimize the BP to construct IPSO-BP. …”
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Detection of Emulation Attacks in Cognitive Radio Networks using Heuristic Techniques by Jabbar Mahmood, Rahim Ali Qamar, Shahzad Latif

“…Differential evolution (DE) and cuckoo search (CS) algorithms are utilized to optimize detection accuracy. …”
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Computationally expensive constrained problems via surrogate-assisted dynamic population evolutionary optimization by Zan Yang, Chen Jiang, Jiansheng Liu

“…Abstract This paper proposes a surrogate-assisted dynamic population optimization algorithm (SDPOA) for the purpose of solving computationally expensive constrained optimization problems, in which the population is dynamically updated based on the real-time iteration information to achieve targeted searches for solutions with different qualities. …”
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Modeling and Solution of Vehicle Routing Problem with Grey Time Windows and Multiobjective Constraints by Xiaojian Yuan, Qishan Zhang, Jiaoyan Zeng

“…In order to verify the validity of the established model, numerical experiments are carried out in two groups based on the Solomon example, and the solution is solved based on the improved quantum evolution algorithm. Analysis. Distribution cost fluctuations and customer satisfaction fluctuations with grey time windows are relatively small; under different satisfaction threshold conditions, the distribution cost is increased gently with the satisfaction threshold. …”
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