Article
Computer Science, Interdisciplinary Applications
Renato Picelli, Raghavendra Sivapuram, Yi Min Xie
Summary: This paper presents a MATLAB code implementing the Topology Optimization of Binary Structures (TOBS) method, which efficiently carries out topology optimization using binary design variables and formal mathematical programming. The method can deal with different types of constraints and is illustrated through compliance minimization and volume minimization subject to various constraints.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Forestry
Paulo Costa, Adelaide Cerveira, Jan Kaspar, Robert Marusak, Teresa Fidalgo Fonseca
Summary: Forests play a crucial role in socioeconomic and environmental aspects, requiring effective management decisions. In Portugal, maritime pine is the predominant softwood species managed traditionally as even-aged stands for timber production, but disturbances like forest fires lead to narrow age ranges, posing challenges for forest management.
Article
Mathematics
Jose Joaquin del Pozo-Antunez, Francisco Fernandez-Navarro, Horacio Molina-Sanchez, Antonio Ariza-Montes, Mariano Carbonero-Ruz
Summary: This study explores a novel approach to the traditional machine-part cell formation problem, utilizing a non-binary incidence matrix and expressing the model as a mixed-integer linear programming optimization problem. The results demonstrate superior performance of the proposed model compared to a standard greedy algorithm in empirical experiments, as well as successful application to a real-world problem in Human Resource Management.
Article
Operations Research & Management Science
Sven Mallach
Summary: The paper presents a linearization technique called inductive linearization for binary quadratic programs with linear constraints. This technique extends concepts from BQPs with particular equation constraints to the general case and can automatically obtain inductive linearization. The linear programming relaxations obtained using this technique are proven to be at least as strong as classical linearization for various applications.
4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Siti Hasliza Ahmad Rusmili, Firdaus Mohamad Hamzah, Lam Kuok Choy, R. Azizah, Lilis Sulistyorini, Ririh Yudhastuti, Khuliyah Chandraning Diyanah, Retno Adriyani, Mohd Talib Latif
Summary: This study evaluates the spatial-temporal changes in PM2.5 concentrations in the central and south zones of Peninsular Malaysia from 2019 to 2020. The results suggest that universal kriging is the best interpolation method for the investigation of PM2.5 variations.
Article
Operations Research & Management Science
Sven Mallach
Summary: The computational usefulness of combining inductive linearizations with a mixed-integer programming solver for binary quadratic programs has been investigated in various combinatorial optimization problems and established benchmark instances.
4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Information Systems
Yang Liu, Kejun Long, Wei Wu
Summary: This study proposes a method to calculate the time at which vehicles enter and exit a given grid at different speeds and accelerations within a discretized intersection. A bi-level programming model is established to optimize the route choices and traffic control schemes, aiming to minimize conflicts and reduce delays for vehicles. The numerical analysis shows that the proposed models significantly improve intersection space utilization, reduce vehicle delays, and save energy.
Article
Computer Science, Artificial Intelligence
Bahriye Akay, Dervis Karaboga, Beyza Gorkemli, Ebubekir Kaya
Summary: This paper reviews the use of Artificial Bee Colony algorithm for solving discrete numeric optimization problems, discussing various encoding types, search operators and selection operators integrated into ABC. It is the first comprehensive survey study on this topic and aims to benefit readers interested in utilizing ABC for binary, integer and mixed integer discrete optimization problems.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Artificial Intelligence
Pavel Dvorak, Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak
Summary: This study introduces the concept of fracture backdoors in ILP instances and provides exact and approximation algorithms for computing them. These backdoors are then utilized to develop parameterized algorithms for ILP, with the performance scaling based on the number of global variables or constraints in the instance, accompanied by matching lower bounds.
ARTIFICIAL INTELLIGENCE
(2021)
Article
Biodiversity Conservation
Dorijan Radocaj, Mladen Jurisic, Oleg Antonic
Summary: The study used statistical methods to predict soil carbon-to-nitrogen ratio, providing recommendations for sustainable land management in soil C:N suitability zones.
ECOLOGICAL INDICATORS
(2021)
Article
Management
Negin Jamili, Pieter L. van den Berg, Rene de Koster
Summary: This paper examines the impact of collaboration on internal resources of a warehouse, specifically order pickers and dock doors. An Integer Linear Programming (ILP) formulation is presented to plan the order picking and shipping process, minimizing truck tardiness. Computational experiments are conducted to investigate the highest benefit of collaboration under different warehouse configurations. The results show that collaboration significantly reduces truck tardiness, with the main benefits coming from sharing pickers, and the maximum benefit is obtained at a medium-level of resource utilization.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Energy & Fuels
Jessica Alice A. Silva, Juan Camilo Lopez, Nataly Banol Arias, Marcos J. Rider, Luiz C. P. da Silva
Summary: This paper proposes a stochastic mixed-integer nonlinear programming model for the optimal energy management system of unbalanced three-phase AC microgrids. The model considers random variables such as nodal demands, renewable generation, and voltage reference, aiming to provide resilient solutions via contingency constraints. By transforming the model into a mixed-integer linear programming model, it can be solved using off-the-shelf convex programming solvers. Tests on real microgrid data show that the model produces resilient day-ahead energy management solutions while minimizing costs and maximizing the use of renewable energy sources.
Article
Computer Science, Interdisciplinary Applications
Michael Juenger, Sven Mallach
Summary: This paper aims to enhance the capability of solving binary quadratic optimization or maximum cut problems and their various applications using integer programming techniques. The enhancements to a well-known algorithm for the central separation problem are shown to be worthwhile from a computational point of view, with linear relaxations of the problems typically requiring fewer iterations and cutting planes than with a nonenhanced approach. The enhanced procedure is also demonstrated to be only slightly inferior to an ideal, enumerative, and in practice intractable global cutting-plane selection.
INFORMS JOURNAL ON COMPUTING
(2021)
Article
Management
Thomas L. Magnanti
Summary: Optimization is one of the most fundamental contributions of management science/operations research, with early researchers laying the foundations for fields such as linear programming and integer programming. With the development of computational methods, optimization has been widely applied in various fields.
MANAGEMENT SCIENCE
(2021)
Article
Mathematics, Applied
Sandi Klavzar, Freydoon Rahbarnia, Mostafa Tavakoli
Summary: This paper proves a sharp upper bound and a closed formula for the k-metric dimension of the hierarchical product of graphs, as well as presents sharp lower bounds for the k-metric dimension of the splice and link products of graphs. Additionally, it proposes an integer linear programming model for computing the k-metric dimension and k-metric basis of a given graph, and applies these results to certain classes of graphs of interest in mathematical chemistry.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Geography, Physical
Zhen Wang, Tianjie Zhao, Jianxiu Qiu, Xuesheng Zhao, Rui Li, Shu Wang
Summary: Synthetic aperture radar (SAR) data have great potential for soil moisture monitoring due to their high spatial resolution and independence from cloud coverage. However, retrieving soil moisture from SAR data over vegetated areas is challenging because of the significant effects of vegetation on radar signals. This study explores whether vegetation descriptors directly obtained from radar data at L-band can effectively parameterize the water cloud model (WCM) and improve soil moisture retrieval accuracy. The results indicate that the VH polarization vegetation descriptor outperforms other vegetation descriptors in investigating soil moisture for different crop types, and variations in vegetation growth significantly affect the accuracy of soil moisture retrieval.
GISCIENCE & REMOTE SENSING
(2021)
Article
Meteorology & Atmospheric Sciences
Zhi Zhang, Dagang Wang, Jianxiu Qiu, Jinxin Zhu, Tingli Wang
Summary: By combining machine learning approaches with cloud information, the accuracy of the early products of the Global Precipitation Measurement (GPM) mission can be improved significantly in both humid and semiarid regions. The study demonstrates that cloud height and brightness temperature are the most useful information for enhancing satellite precipitation products. This approach is important for hydrological applications that require real-time precipitation information.
JOURNAL OF HYDROMETEOROLOGY
(2021)
Article
Engineering, Electrical & Electronic
Zemian Wu, Jianxiu Qiu, Wade T. Crow, Dagang Wang, Zhengang Wang, Xiaohu Zhang
Summary: This study investigates the efficacy of the downscaled SPL2 product for detecting agricultural drought in northwestern China. The results show that the Sentinel-1 sigma explains more NDVI information than the SPL3 Tb, but the SPL2 Tb reduces the information on NDVI by approximately 3% compared to the SPL3 Tb baseline.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Peng Wang, Xuelin Tong, Jianxiu Qiu, Yimin Chen, Sijia Wu, Ting On Chan, Jinxin Zhu, Zhen Liu, Hui Zhang, Ming Luo
Summary: This study investigates the changes in atmospheric aridity in China over recent decades and quantifies the effects of urbanization on these changes. The results show that most parts of China have experienced an intensification of atmospheric aridity since the 1970s, especially in urban areas with higher levels of urbanization. It is estimated that urbanization contributed to more than 30% of the total increases in atmospheric aridity in urban core areas.
Article
Environmental Sciences
Jianxiu Qiu, Wade T. Crow, Sheng Wang, Jianzhi Dong, Yan Li, Monica Garcia, Wei Shangguan
Summary: This study investigates the response of vegetation to water-stress conditions using microwave-based techniques and finds that isohydric vegetation is more sensitive to water stress but also has higher water use efficiency and tolerance of carbon starvation risk.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Civil
Lili Liang, Yu Feng, Jie Wu, Xinyue He, Shijing Liang, Xin Jiang, Gabriel de Oliveira, Jianxiu Qiu, Zhenzhong Zeng
Summary: This study evaluated the accuracy of ECOSTRESS ET products at the site scale in the continental US. The results showed that DisALEXI-JPL daily ET had stronger correlations with in-situ ET compared to PT-JPL instantaneous ET and daily ET. The study also highlighted the regional variations in ECOSTRESS ET accuracy.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Yongmin Yang, Shifeng Huang, Jianxiu Qiu, Changjun Liu, Wei Jiang
Summary: Satellite remote sensing is an efficient method for mapping inland surface water extent. However, combining optical and radar remote sensing datasets to monitor surface water distribution and variability still poses challenges. In this study, a Seamless Surface Water Mapping Framework (SSWMF) is proposed, which utilizes optical and SAR imagery. The validity of SSWMF is demonstrated in the middle and lower reaches of the Yangtze River, showing high accuracy and improved spatial and temporal continuity compared to existing datasets. Multi-source validation confirms that the SSWMF-derived surface water maps effectively capture the temporal fluctuation and spatial heterogeneity of water resources in China. The proposed framework shows promise for large-scale water resource management and drought/flood monitoring.
GEOCARTO INTERNATIONAL
(2022)
Article
Engineering, Civil
Sijia Feng, Jianxiu Qiu, Wade T. Crow, Xingguo Mo, Suxia Liu, Sheng Wang, Lun Gao, Xinghan Wang, Shuisen Chen
Summary: This study investigates the impact of vegetation indices on the retrieval of soil moisture (SM) and vegetation water content (VWC) using satellite data. It finds that dynamic vegetation indices, such as Modified Chlorophyll Absorption Ratio Index (MCARI), improve the accuracy of SM estimation, while static indices like Normalized Difference Vegetation Index (NDVI) underestimate VWC and SM during the growing season. The study also shows that VWC uncertainty has a higher impact on the accuracy of SCA-V compared to DCA.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Jianzhi Dong, Wade T. Crow, Xi Chen, Natthachet Tangdamrongsub, Man Gao, Shanlei Sun, Jianxiu Qiu, Lingna Wei, Hongkai Gao, Zheng Duan
Summary: The study proposes a Statistical Uncertainty analysis-based Precipitation mERging framework (SUPER) to improve large-scale precipitation estimates, particularly in data-sparse regions. By employing quadruple collocation analysis to estimate precipitation errors and merging all products via least-squares minimization, SUPER can reduce errors and overfitting in multi-source precipitation products, resulting in superior performance compared to recent reanalyses and remote sensing products.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Zhengang Wang, Yizhe Zhang, Gerard Govers, Guoping Tang, Timothy A. Quine, Jianxiu Qiu, Ana Navas, Haiyan Fang, Qian Tan, Kristof Van Oost
Summary: Erosion and soil organic carbon (SOC) are influenced by climate, and the extent to which temperature controls the interaction between them is unclear. Using Cs-137 and SOC inventories from catchments with different climates, the study finds that increasing decomposition rates with temperature lead to efficient replacement of SOC lost by erosion in eroding areas, but lower preservation of deposited SOC in depositional areas. At the landscape level, the erosion-induced C sink strength per unit lateral SOC flux increases with temperature. The study estimates that the global C sink induced by water erosion on croplands increases by 7% due to climate change.
NATURE CLIMATE CHANGE
(2023)
Article
Computer Science, Information Systems
Rongrong Zhang, Virgilio A. Bento, Junyu Qi, Feng Xu, Jianjun Wu, Jianxiu Qiu, Jianwei Li, Wei Shui, Qianfeng Wang
Summary: In this study, a high spatiotemporally-resolved daily SPI/SPEI raster dataset for China was developed using the China Meteorological Forcing Dataset, which combines ground-based observation data and remote sensing grid meteorological data. The dataset shows high accuracy and credibility, outperforming the traditional monthly SPI/SPEI indices.
Article
Geosciences, Multidisciplinary
Yuxin Pan, Ren Yang, Jianxiu Qiu, Jieyong Wang, Jiapei Wu
Summary: This study analyzed the effects of water and thermal resources on agricultural production layout by integrating climate data using meteorological station data and elevation data. The results showed that the centre of gravity of suitable planting areas for various crops has shifted according to climate conditions. The study suggests that arable land reserve resources in sensitive areas could be developed to support agricultural development.
Article
Green & Sustainable Science & Technology
Xuerou Weng, Boen Zhang, Jinxin Zhu, Dagang Wang, Jianxiu Qiu
Summary: Soil erosion is a major threat to land conservation, freshwater security, and ocean ecology, which is exacerbated by climate change. Reliably predicting future soil erosion rates and considering anthropogenic influences are crucial in the field of earth-system research. To address this challenge, we developed a novel framework that combines the Bayesian Model Averaging method with the Revised Universal Soil Loss Equation model to estimate erosion rates on a national scale. Our findings reveal that under different climate scenarios, average annual soil loss will increase, with climate change and land-use change having distinct effects on water erosion.
Editorial Material
Biodiversity Conservation
Jianxiu Qiu, Sijia Feng, Wenping Yuan
Summary: This commentary highlights the recent advancements in the understanding of mountain treeline response to climate change based on the work by He et al. (2023). The authors summarize their findings on mountain treeline spatial distribution, the bioclimatic factors affecting them, and their diverse responses to global climate change. The implications of He et al.'s (2023) work are expected to be far-reaching, and future research in this field is called for interdisciplinary attention.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Qingliang Li, Gaosong Shi, Wei Shangguan, Vahid Nourani, Jianduo Li, Lu Li, Feini Huang, Ye Zhang, Chunyan Wang, Dagang Wang, Jianxiu Qiu, Xingjie Lu, Yongjiu Dai
Summary: This study presents a 1 km resolution long-term dataset of soil moisture in China, named SMCI1.0, derived from machine learning trained by in situ measurements. SMCI1.0 provides 10-layer soil moisture with daily resolution over the period 2000-2020. The dataset shows higher estimation accuracy compared to other soil moisture products, but has higher errors in the North China Monsoon Region.
EARTH SYSTEM SCIENCE DATA
(2022)
