A Comprehensive Evaluation Method for Market Power of Generation Companies Based on Improved Critic-G1 Algorithm by Xuesong LI, Yu JIANG, Xuwen LIU, Yang WANG, Yu DING

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Efficient Task Scheduling in Cloud Computing: A Multiobjective Strategy Using Horse Herd–Squirrel Search Algorithm by V. Parthasaradi, A. Karunamurthy, C. H. Hussaian Basha, S. Senthilkumar

“…The objective is to provide an enhanced task scheduling algorithm for allocating the task of the user to different computing resources. …”
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A Smart Contract-Based Algorithm for Offline UAV Task Collaboration: A New Solution for Managing Communication Interruptions by Linchao Zhang, Lei Hang, Keke Zu, Yi Wang

“…To address these challenges, this paper proposes an offline task-coordination algorithm based on blockchain smart contracts. This algorithm integrates task allocation, resource scheduling, and coordination strategies directly into smart contracts, allowing UAV swarms to autonomously make decisions and coordinate tasks while offline. …”
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A neo-cooperation search based evolutionary algorithm for multi-objective electric rope shovel production scheduling by Jue Zhang, Haifeng Yue, Yongpeng Wang, Ruhan Guo, Shuai Shao

“…To address this production scheduling problem, this paper proposes a neo-cooperation search based evolutionary algorithm. The proposed algorithm suggests a novel encoding scheme to represent a solution (i.e., the sequence of operations of multiple components) with a real decision vector and allocates computational resources to two cooperating populations for global search and local search, respectively. …”
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COPSA: a computation offloading strategy based on PPO algorithm and self-attention mechanism in MEC-empowered smart factories by Yining Chen, Kai Peng, Chengfang Ling

“…Accordingly, we devise a novel approach based on Proximal Policy Optimization algorithm with the Self-Attention Mechanism to implement computing resource allocation in MEC-Empowered Smart Factories. …”
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Multiobjective Cognitive Cooperative Jamming Decision-Making Method Based on Tabu Search-Artificial Bee Colony Algorithm by Fang Ye, Fei Che, Lipeng Gao

“…Selecting the appropriate jamming decision to coordinately allocate the jamming resources is the development direction of the electronic countermeasures. …”
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Joint Optimization of Berths and Quay Cranes Considering Carbon Emissions: A Case Study of a Container Terminal in China by Houjun Lu, Xiao Lu

“…The increasing complexity of berth allocation now requires compliance to vessel service standards while controlling carbon emissions. …”
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Application of the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) in a Two-Echelon Cold Supply Chain by Aslı Acerce, Berrin Denizhan

“…NSGA-II optimized planning for a 7-day period under specific demand conditions, ensuring better resource allocation. The results showed that NSGA-II was better than traditional methods at making decisions and routing efficiently in the two-stage cold supply chain. …”
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Developing a predictive model for septic shock risk in acute pancreatitis patients using interpretable machine learning algorithms by Binglin Song, Ping Liu, Kangrui Fu, Chun Liu

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Assessing the risk of traffic accidents in lisbon using a gradient boosting algorithm with a hybrid classification/regression approach by Nuno Alpalhão, Pedro Sarmento, Bruno Jardim, Miguel de Castro Neto

“…The resulting risk simulator enables emergency planners to recalculate accident probabilities when street characteristics or weather conditions change, providing actionable insights for resource allocation and response planning. This research contributes both methodologically, through its innovative handling of spatially imbalanced data, and practically, by delivering an operational tool that supports evidence-based emergency service management. …”
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Rendering algorithm for 3D model of goods in power warehouse based on linear interpolation and 2D texture mapping by Gui Luo, Xin Chen, Quan Liu, Anlin Liu, Xuan Zhang, Li Tian, Yueshi Gao

“…Comparative evaluations against conventional Texture Mapping methods reveal performance improvements exceeding 10% in both algorithm precision and recall rates. These advancements contribute substantially to operational efficiency in warehouse management systems, particularly facilitating cross-temporal domain material allocation optimization and resource coordination. …”
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Global optimization of economic load dispatch in large scale power systems using an enhanced social network search algorithm by Mohamed H. Hassan, Salah Kamel, Francisco Jurado, Umberto Desideri

“…By solving the ELD problem, power system operators can minimize the overall operating cost of the power system and enhance its efficiency, which has far-reaching implications for sustainable energy management and resource allocation. However, because of the non-convex nature of the ELD problem, finding the global optimum solution poses a significant challenge. …”
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Comprehensive Task Optimization Architecture for Urban UAV-Based Intelligent Transportation System by Marco Rinaldi, Stefano Primatesta

“…The proposed architecture is distributed among the UAVs and inspired by market-based allocation algorithms. By exploiting a multi-auctioneer behavior for allocating both delivery tasks and re-charge tasks, the fleet of UAVs is able to (i) self-balance the utilization of each drone, (ii) assign dynamic tasks with high priority within each round of the allocation process, (iii) minimize the estimated energy consumption related to the completion of the task set, and (iv) minimize the impact of re-charge tasks on the delivery process. …”
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A novel quality of service-aware task scheduling approach for cloud computing using modified Wombat Optimization Algorithm by Lijuan Yan

“…In the Internet of Things (IoT) applications, there is a significant need to identify efficient methods for allocating computational resources or reducing cost and latency while maintaining the reliability of services. …”
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An improved pricing scheme for water rights trading based on the eBay auction model by LIN Lan, ZHAO Siyuan, CHEN Jing, DAI Xiaoping

“…【Conclusion】The improved pricing mechanism for water rights trading, based on a second-price auction model, demonstrates strong adaptability in the context of public resource allocation. It provides a valuable algorithmic framework and serves as a reference for future water rights transaction projects nationwide.…”
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Ecological and Statistical Evaluation of Genetic Algorithm (GARP), Maximum Entropy Method, and Logistic Regression in Predicting Spatial Distribution of Astragalus sp. by Amir Ghahremanian, Abbas Ahmadi, Hamid Toranjzar, Javad Varvani, Nourollah Abdi

“…The ability to predict species distribution can help optimize resource allocation for habitat restoration and enhance biodiversity conservation efforts.…”
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Solving the Privacy-Equity Trade-off in Data Sharing By Using Homophily, Diversity, and <italic>t</italic>-Closeness Based Anonymity Algorithm by Abdul Majeed, Seong Oun Hwang

“…In the modern era, personal data published by data owners play a vital role in decision-making, resource allocation, disease mitigation, and/or epidemiological analysis. …”
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Harnessing Data-mining Algorithms to Model and Evaluate Factors Influencing Distortion Product Otoacoustic Emission Variations in a Mining Industry by Sajad Zare, Reza Esmaeili, Mojtaba Nakhaei pour

“…Conclusions: As a result of determining the weight of factors causing variations in OAEs, the allocation of resources for control measures and effective reduction will be accomplished more efficiently and accurately.…”
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Optimization strategies for public health education based on ISSA and information system technology by Zhanyu Ye, Yifei Li, Yan Zhang

“…IntroductionAgainst the backdrop of rapid development of information technology, public health education is facing challenges such as uneven resource allocation and lagging content.MethodsTo propose an optimization strategy that can effectively improve the level of public health education, this study improves the sparrow search algorithm by introducing the theory of best point sets to optimize the allocation of public health education resources. …”
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Task offloading optimization in mobile edge computing based on a deep reinforcement learning algorithm using density clustering and ensemble learning by Yi Qin, Junyan Chen, Lei Jin, Rui Yao, Zidan Gong

“…Opportunistic computing offloading is effective to enhance computing performance in dynamic edge network environments; however, careless offloading of tasks to ESs can lead to WDs preempting network computing resources with limited bandwidth, thereby resulting in inefficient allocation of computing resources. …”
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