An amalgamated load shifting cum curtailing policy with smart charging of PHEV for economic operation of microgrid system by Bishwajit Dey, Srikant Misra, Arnab Pal, Fausto Pedro Garcia Marquez

“…This strategy utilizes technologies that connect vehicles to the grid and vice versa. The differential evolution (DE) algorithm was used as an optimization tool for the study. …”
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Stiffness Regulation of Cable-Driven Redundant Manipulators Through Combined Optimization of Configuration and Cable Tension by Zhuo Liang, Pengkun Quan, Shichun Di

“…Motion-level and tension-level factors are introduced as control variables into the respective optimization models, enabling effective manipulation of configuration and tension solutions for stiffness regulation. An improved differential evolution algorithm is employed to generate adjustable configuration solutions based on motion-level factors, while a modified gradient projection method is adopted to derive adjustable cable tension solutions based on tension-level factors. …”
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A New Approach for Automatic Search for Families of Optimal Undirected Double-Loop Networks by Emilia A. Monakhova, Oleg G. Monakhov, Edward R. Rzaev, Aleksandr A. Amerikanov, Mikhail Y. Romashikhin, Aleksandr Y. Romanov

“…After applying the integration of differential evolution methods, exhaustive local search, and a new search algorithm (based on the division of graph description polynomials) to the analysis of the generated dataset, we found a large amount of new (distinct from all previously known) families of optimal double-loop networks with generators of linear or quadratic types. …”
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A Hybrid CT-DEWCA-Based Energy-Efficient Routing Protocol for Data and Storage Nodes in Underwater Acoustic Sensor Networks by Imran Khan, Muhammad Rauf, Atif Jamil

“…This research proposes an energy-aware deployment approach and introduces the Controlled Transmission enhanced by hybrid model scheme with Differential Evolution, Whale Optimization, and Chaotic Adaptation (CT-DEWCA) for relay selection. …”
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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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Triple equivalence for the emergence of biological intelligence by Takuya Isomura

“…These propositions are corroborated by numerical simulations of algorithm implementation and neural network evolution. …”
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A comprehensive techno-economic analysis for a PHEV-integrated microgrid system involving wind uncertainty and diverse demand side management policies by Bishwajit Dey, Laishram Khumanleima Chanu, Gulshan Sharma, Pitshou N. Bokoro

“…The research investigation employed the Differential Evolution (DE) algorithm as an optimization technique. …”
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Implementation of Chernobyl disaster optimizer based feature selection approach to predict software defects [version 2; peer review: 2 approved, 1 not approved] by Himansu Das, Ajay Kumar Jena, Kunal Anand

“…Several meta-heuristic algorithms, like Genetic Algorithm, Particle Swarm Optimization, Differential Evolution, and Ant Colony Optimization, have been used to develop defect prediction models. …”
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