Formal concept analysis assisted large-scale global optimization and its application to cloud task scheduling by Guo Yu, Yibo Yong, Chao Jiang, Fei Hao, Lianbo Ma

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Optimization of unmanned truck fleet scheduling in open-pit mines considering sudden equipment failures by GU Qinghua, WANG Xueqing, WANG Dan, ZHANG Pengpeng, WANG Yu

“…To reduce the impact of uncertainty and randomness of sudden equipment failures in open-pit mining equipment, taking the production equipment at the loading and unloading points in the transportation system of open-pit coal mines as the research object, an unmanned mining truck cluster scheduling model for open-pit mines considering sudden equipment failures is proposed.Firstly, an initial scheduling model is established to minimize truck transportation costs, total idle time of trucks, and maximize ore transportation volume.Secondly, considering sudden equipment failures, a rescheduling model is constructed to minimize the deviation from the objective function of the initial scheduling plan.Subsequently, an adaptive multi-objective evolutionary algorithm assisted by a surrogate model is proposed, using Kriging surrogate models to replace the truck dispatching simulation process.Finally, the method is applied to simulation with data from a domestic open-pit mine.The results show that when the transportation system is disturbed by sudden equipment failures, this method can provide a scheduling optimization adjustment plan with shorter total idle time of trucks and more ore transportation volume.…”
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Understanding Multi-layered Conceptualisations of Innovation in Education by Waaiza Udhin, Vicky Avinash Oojorah

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Promoting the replacement of chemical fertilizer with organic fertilizer: the role of policy incentives and digital technology by Feng Liao, Yangyang Zheng, Xiaofeng Wang

“…However, the current adoption rate of organic fertilizer among farmers is relatively low, and the economic and environmental benefits of organic fertilizer are difficult to realize.MethodsBased on the assumption of bounded rationality and combining evolutionary game theory, this paper constructs a symmetric game model of farmers under three scenarios: no external intervention, government incentives, and digital technology integration, deeply exploring the strategy choices of farmers and the effectiveness of intervention measures in different scenarios.Results and discussionIncome levels have a differentiated impact on farmers’ learning and imitation behaviors. …”
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Classification Based on Brain Storm Optimization With Feature Selection by Yu Xue, Yan Zhao, Adam Slowik

“…Feature selection is an effective method to deal with large datasets, firstly, we introduce the concept of feature selection and use the different feature subsets to construct the structure of the evolutionary classification model. …”
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Government-market synergy in China's agricultural low-carbon transformation: policy adaptation to regional divides by Feng Liao, Yangyang Zheng, Xiaofeng Wang, Lihui Xiong

“…IntroductionPromoting agricultural low-carbon transformation are essential for achieving the “dual carbon” targets and advancing high-quality development.MethodsThis study employed evolutionary game theory to construct a tripartite model involving local governments, agricultural enterprises, and consumers. …”
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The Absolute Age of Milky Way Globular Clusters by Jiaqi (Martin) Ying, Brian Chaboyer, Michael Boylan-Kolchin, Daniel R. Weisz, Rowan Goebel-Bain

“…Globular clusters (GCs) provide statistically significant coeval populations of stars spanning various evolutionary stages, allowing robust constraints on stellar evolution model parameters and ages. …”
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Insurance Crisis, Legal Environment, and the Sustainability of Professional Liability Insurance Market in the Construction Industry: Based on the US Market by Yiguang Pan, Xiaomei Deng, Rashid Maqbool, Weirui Niu

“…From the perspective of cooperation benefits, this paper adopts evolutionary game theory (EGT) to analyze the evolutionary trends of stakeholders’ behaviors and their evolutionarily stable strategy (ESS) in the PLI market of the construction industry. …”
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A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm by Zhenya Diao, Fei Yu, Hongrun Wu, Xuewen Xia

“…However, current methods for constructing fitness landscapes demonstrate insufficient theoretical analysis of state parameters and involve high construction time costs. …”
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Le bassin minier du Nord-Pas-De-Calais pris dans les rets de l’aménagisme généralisé by Patrick Céleste

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Identification and analysis of driving factors for ecosystem service bundles in Shanxi Province under multiple scenario simulations by Guofeng Dang, Guibin Li, Jinzhou Hu

“…By integrating this with the dynamic ecosystem service value (ESV) model to assess the ESV, the evolutionary trajectory of the ESB is systematically revealed. …”
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Sustainable Co-Habitation Housing Design: A Computational Approach for Addressing Biodiversity Threats in the Galapagos Islands by Gianfranco Maiorano, Natalia Juca Freire, Rapas Teparaksa, Pinak Dilip Bhapkar, Elif Erdine, Milad Showkatbakhsh

“…Computational strategies and simulations are employed to guide architectural, structural, and material decisions, including the use of evolutionary algorithms and selection strategies based on environmental performance metrics such as temperature, humidity, and solar radiation. …”
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C Language Extension to Support Procedural-Parametric Polymorphism by Alexander I. Legalov, Pavel V. Kosov

“…Additional syntactic constructions are proposed to support the proposed approach. …”
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Research on Distributed Heterogeneous Factory Task Assignment Problem With Loading Efficiency Constraints: A Case Study by Meisong Zhong, Zhiqiang Zeng, Zhiyong Hong, Chuangquan Chen

“…In the experiment, three MILP models and three evolutionary algorithms (EAs) are compared with the rule-based traditional method, and the sensitivity of minimum loading efficiency and the impact of factory load rate are analyzed. …”
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LatentDE: latent-based directed evolution for protein sequence design by Thanh V T Tran, Nhat Khang Ngo, Viet Thanh Duy Nguyen, Truong-Son Hy

“…In this paper, we propose latent-based DE (LDE), an evolutionary algorithm designed to prioritize the exploration of high-fitness mutants in the latent space. …”
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A multi-objective optimization framework based on information sharing for serially connected robot design by Jiliang Zhao, Wei Peng, Handing Wang, Wen Yao

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Evolution and drivers of water use in Northern China by Xiaokang Zheng, Chao Ma, Hong Lv, Fang Wan, Hao Wang

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Detection and Whole Genome Amplification of the 4d Type of Porcine Hepatitis E Virus in Eastern Tibet, China by Yongzhi Lou, Jiaojiao Xin, Sizhu Suolang, Da Qiong, Zhuoma Dawa, Ga Gong

“…ABSTRACT Genomic and evolutionary analysis of epidemic porcine hepatitis E virus (HEV) in the Tibetan Plateau was performed. …”
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Evolution and Simulation Analysis of Digital Transformation in Rural Elderly Care Services from a Multi-Agent Perspective in China by Zheng Wen, Ming Mo, Jin Xu

“…The model further investigated the evolutionary trajectories and equilibrium conditions of their behavioral strategies. …”
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Research on the quality supervision strategy of drugs sold on the internet under the MAH system by Zongliang Wen, Zongliang Wen, Zongliang Wen, Jialin Chen, Li Zhou, Li Zhou, Long Bai, Shenqin Wu, Yun Zhao, Yun Zhao, Jinhua Fang

“…This paper is based on the multi-party game perspective, constructed a hierarchical model, thereby better exploring the mechanism of drug quality regulation in the context of drug online sales under the MAH system.ResultsFindings suggest that reducing operational costs motivates agent sellers to adopt stable, honest strategies. …”
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