Design of evaluation standard for lightning protection effectiveness of seismic station by Guangke Li, Haobo Gong, Min Chen, Xun Zhang, Rui Zhang, Yinghong Dai

“…The standard collected basic data from 21 lightning protection reconstruction stations in Chongqing, and analyzed data such as running state of observation system, key parameters of lightning protection, lightning strike situation, maintenance records before and after the reconstruction. Through continuous optimization of the evaluation model, we finally obtained a more accurate evaluation formula using the constrained linear least-squares method, so as to evaluate the lightning protection effect and effectiveness of seismic station correctly. …”
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Symbiotic organisms search algorithm for the unrelated parallel machines scheduling with sequence-dependent setup times. by Absalom E Ezugwu, Olawale J Adeleke, Serestina Viriri

“…Since the standard SOS algorithm was originally developed to solve continuous optimization problems, a new solution representation and decoding procedure is designed to make the SOS algorithm suitable for the unrelated parallel machine scheduling problem (UPMSP). …”
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Single cell sequencing in the study of hematopoietic system: application and perspects by WANG Junping, CHEN Naicheng

“…Single cell sequencing (SCS) is a technique for precise analysis of cells at an individual level, which provides a new perspective on the identification of individual cell types, functions, states and interactions with other cells, and greatly deepens the understanding of cellular heterogeneity and genetic and molecular functional diversity. With the continuous optimization of various technical aspects, SCS technology has been widely used in many research areas, and the study of the hematopoietic system is an example of its application. …”
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Multi-objective regression modeling for natural gas prediction with ridge regression and CMARS by Ayse Ozmen

“…In this approach, the model complexity is penalized in the structure of RR and it is constructed a relaxation by utilizing continuous optimization, called Conic Quadratic Programming (CQP). …”
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An Overview of the BALSAC Population Database. Past Developments, Current State and Future Prospects by Hélène Vézina, Jean-Sébastien Bournival

“…Future perspectives rest on the diversification of the sources of population data entered or connected to the database and, as a corollary, by continuous optimization of data processing and linkage procedures. …”
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Evaluation and optimization of ecological compensation fairness in prefecture-level cities of Anhui province by Sufeng Wang, Shourong Li, Jianling Jiao

“…Scientific evaluation and continuous optimization of the fairness of ecological compensation are conducive to improving the effect of air pollution control. …”
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Discretization-Strategy-Based Solution for Berth Allocation and Quay Crane Assignment Problem by Min Tang, Bin Ji, Xiaoping Fang, Samson S. Yu

“…Meanwhile, the results of large-scale instances show that the large neighborhood search algorithm incorporating the discretization strategy is more efficient than other genetic algorithms based on continuous optimization. With the proposed approach, high-quality berth and quay crane allocation results can be obtained efficiently.…”
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Optimization of the Weighted Multi-Facility Location Problem Using MS Excel by Petr Němec, Petr Stodola, Miroslav Pecina, Jiří Neubauer, Martin Blaha

“…The experiments showed that this widely available office software is practical for solving even relatively complex optimization tasks (Weighted Multi-Facility Location Problem with 100 points and 20 centers, which consists of 40 continuous optimization variables in two-dimensional space) with sufficient quality for many real-world applications. …”
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Improved Runge Kutta Optimizer with Fitness Distance Balance-Based Guiding Mechanism for Global Optimization of High-Dimensional Problems by Çağrı Suiçmez, Hamdi Kahraman, Cemal Yılmaz, Enes Cengiz

“…In particular, it has been shown to provide more effective results for the continuous optimization of high-dimensional problems.…”
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IIoT System for Intelligent Detection of Bottleneck in Manufacturing Lines by Manuel José Rodríguez Aguilar, Ismael Abad Cardiel, José Antonio Cerrada Somolinos

“…The defined architecture operates across multiple levels, acquiring real-time information and generating historical data for training and continuous optimization. Predictive results contribute to decision-making and assist in mitigating bottlenecks in manufacturing lines.…”
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CloudOps: Towards the Operationalization of the Cloud Continuum: Concepts, Challenges and a Reference Framework by Juncal Alonso, Leire Orue-Echevarria, Maider Huarte

“…Unfortunately, the operation and management of such heterogeneous computing environments (including edge, cloud and network services) is complex and operators face challenges such as the continuous optimization and autonomous (re-)deployment of context-aware stateless and stateful applications where, however, they must ensure service continuity while anticipating potential failures in the underlying infrastructure. …”
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Model-Based Deep Reinforcement Learning with Traffic Inference for Traffic Signal Control by Hao Wang, Jinan Zhu, Bao Gu

“…In the modern world, the extremely rapid growth of traffic demand has become a major problem for urban traffic development. Continuous optimization of signal control systems is an important way to relieve traffic pressure in cities. …”
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Combined Optimization Prediction Model of Regional Wind Power Based on Convolution Neural Network and Similar Days by Yalong Li, Fan Yang, Wenting Zha, Licheng Yan

“…With the continuous optimization of energy structures, wind power generation has become the dominant new energy source. …”
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An Improved Firefly Algorithm for the Unrelated Parallel Machines Scheduling Problem With Sequence-Dependent Setup Times by Absalom E. Ezugwu, Francis Akutsah

“…Since the classical FA was originally designed for continuous optimization problems, a new solution representation scheme is designed to make the FA suitable for a combinatorial optimization problem such as the UPMSP. …”
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Formulation and Analysis of Grid and Coordinate Models for Planning Wind Farm Layouts by Huan Long, Zijun Zhang, Zhe Song, Andrew Kusiak

“…The wind farm layout planning with the grid model (GM) and CM is formulated as a combinatorial and a continuous optimization problem separately. Theoretical analyses prove that it is more complicated to solve CM than GM if the solution space of two models is searched exhaustively. …”
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Reconfiguration for UAV Formation: A Novel Method Based on Modified Artificial Bee Colony Algorithm by Zipeng Yang, Futing Yang, Tianqi Mao, Zhenyu Xiao, Zhu Han, Xianggen Xia

“…Specifically, we first formulate the formation reconfiguration problem minimizing the time consumed for reconfiguration under the constraints of safety and connection. Then the continuous optimization problem is discretized by using the control parameterization and time discretization (CPTD) method. …”
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A New Quadratic Binary Harris Hawk Optimization for Feature Selection by Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad

“…However, the original HHO is developed to solve the continuous optimization problems, but not to the problems with binary variables. …”
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Dual Elite Groups-Guided Differential Evolution for Global Numerical Optimization by Tian-Tian Wang, Qiang Yang, Xu-Dong Gao

“…Differential evolution (DE) has shown remarkable performance in solving continuous optimization problems. However, its optimization performance still encounters limitations when confronted with complex optimization problems with lots of local regions. …”
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District Cooling Versus Individual Cooling in Urban Energy Systems: The Impact of District Energy Share in Cities on the Optimal Storage Sizing by Dominik Franjo Dominković, Goran Krajačić

“…This paper addressed the latter gap using linear continuous optimization model of the whole energy system, using Singapore for a case study. …”
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Hybrid Harmony Search Optimization Algorithm for Continuous Functions by José Alfredo Brambila-Hernández, Miguel Ángel García-Morales, Héctor Joaquín Fraire-Huacuja, Eduardo Villegas-Huerta, Armando Becerra-del-Ángel

“…This paper proposes a hybrid harmony search algorithm that incorporates a method of reinitializing harmonies memory using a particle swarm optimization algorithm with an improved opposition-based learning method (IOBL) to solve continuous optimization problems. This method allows the algorithm to obtain better results by increasing the search space of the solutions. …”
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