Improved salp swarm algorithm based optimization of mobile task offloading by Aishwarya R., Mathivanan G.

“…The evolutionary algorithm is the best for resolving the multiobjective task. Energy, memory, and delay reduction together with the detection of the offloading task is the multiobjective to achieve. …”
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A Method of UAVs Route Optimization Based on the Structure of the Highway Network by Shuyun Niu, Jisheng Zhang, Fan Zhang, Honghai Li

“…First, according to existing traffic data, a method used to calculate the link importance degree index is proposed, and the index is used to evaluate the link's information. Second, a multiobjective optimization model is proposed, its aim is to minimize the total cruise time under detecting as many important links as possible and minimize the information value undetected by UAVs, and the fuzzy operator is introduced to the constraint conditions. …”
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Optimization of Consignment-Store-Based Supply Chain with Black Hole Algorithm by Ágota Bányai, Tamás Bányai, Béla Illés

“…This research proposes an integrated supply model based on consignment stores. After a careful literature review, this paper introduces a mathematical model to formulate the problem of consignment-store-based supply chain optimization. …”
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Optimization design of urban rainwater and flood drainage system based on SWMM by Cao Xihan

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Optimized Allocation of Flood Control Emergency Materials Based on Loss Quantification by Wei Wang, Yunqing Wang, Li Huang, Yue Song

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Privacy-Preserving Glycemic Management in Type 1 Diabetes: Development and Validation of a Multiobjective Federated Reinforcement Learning Framework by Fatemeh Sarani Rad, Juan Li

“… Abstract BackgroundEffective diabetes management requires precise glycemic control to prevent both hypoglycemia and hyperglycemia, yet existing machine learning (ML) and reinforcement learning (RL) approaches often fail to balance competing objectives. Traditional RL-based glucose regulation systems primarily focus on single-objective optimization, overlooking factors such as minimizing insulin overuse, reducing glycemic variability, and ensuring patient safety. …”
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An Improved MOEA/D Based on Reference Distance for Software Project Portfolio Optimization by Jing Xiao, Jing-Jing Li, Xi-Xi Hong, Min-Mei Huang, Xiao-Min Hu, Yong Tang, Chang-Qin Huang

“…In this paper, we propose an improved MOEA/D (multiobjective evolutionary algorithm based on decomposition) based on reference distance (MOEA/D_RD) to solve the software project portfolio optimization problems with optimizing 2, 3, and 4 objectives. …”
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An Optimization Model of Urban Transportation Travel Carbon Footprint Based on Game Theory by Xiaoyu Wu, Aiguo Lei, Lishuang Bian

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Advanced Scalable Multi-Beam Focusing for Indoor Optical Wireless Networks With IR Radiative Clusters by Sharadhi Gunathilake, Ampalavanapillai Nirmalathas, Kosala Herath, Malin Premaratne

“…This involves selecting the optimal clusters from a uniform array by solving a multiobjective non-convex binary optimization problem, aiming to maximize receiver intensity, minimize intensity variations, and reduce side lobes level. …”
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Precision Dosing in Presence of Multiobjective Therapies by Integrating Reinforcement Learning and PK‐PD Models: Application to Givinostat Treatment of Polycythemia Vera by Alessandro De Carlo, Elena Maria Tosca, Paolo Magni

“…ABSTRACT Precision dosing aims to optimize and customize pharmacological treatment at the individual level. …”
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Research on Joint Optimization of Reserve and Dispatching for Multivariety Emergency Materials Based on NSGA-II by Xi Zhu, Kai Yao, Aiqiang Guo, Tianpeng Li, Weiyi Wu, Xinbao Gao

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Generator Rescheduling Based Congestion Management in Power System Deregulation Using the Cheetah Optimization by Sajal Debbarma, Dipu Sarkar

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Optimal Integration of Renewable Energy–Based Distributed Generation Units in Radial Distribution System by Le Chi Kien, Truong Van Hien, Hoang Do Ngoc Tram, Thai Dinh Pham

“…Determining the optimal integration of renewable energy–based distributed generation units (DGUs) in electric distribution systems brings many positive technical and economic impacts and contributes significantly for improving the performance of the distribution system. …”
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Designing a sustainable-resilient humanitarian supply chain for post-disaster relief process, an earthquake case study in Haiti by Hossein Shakibaei, Seyyed Amirmohammad Moosavi, Amir Aghsami, Masoud Rabbani

“…As a result, the model’s performance has been validated and deemed reliable based on the findings and insights obtained. Originality/value – Ultimately, the model provides the optimal quantities of each product to be shipped and determines the appropriate mode of transportation. …”
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METHODS TO IMPROVE THE RELIABILITY OF CREDIT INSTITUTIONS by Yu. V. Mishin

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An Optimal Allocation Strategy for Multienergy Networks Based on Double-Layer Nondominated Sorting Genetic Algorithms by Min Mou, Da Lin, Yuhao Zhou, Wenguang Zheng, Jiongming Ruan, Dongdong Ke

“…In this strategy, the multiobjective nondominated sorting genetic algorithm is adopted in both layers, and the second-layer optimization is based on the optimization result of the first layer. …”
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An Urban Bus Network Generation Algorithm Based on Particle Swarm Optimization and Force Field Properties by Yiming Chen, Yanhong Gu, Zhengdong Huang, Tianhong Zhao, Liangyuan Guo

“…Bus network design is not only an NP-hard (nondeterministic polynomial) problem but also a multivariable and multiobjective problem. This paper focuses on the bivariate and multiobjective bus network design problem of route generation and station selection. …”
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Research on Regional Strategic Emerging Industry Selection Models Based on Fuzzy Optimization and Entropy Evaluation by Xiuying Guo, Xiaofeng Hui

“…Then it will do a strategic emerging industrial inspection about the advantage and ecological related index based on a multiobjective programming model and the maximum entropy.…”
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Research on Optimization of Total Nitrogen Peak Suppression in Wastewater Treatment Based on the Data Driven Method by Chao Lu, Zhao Dong

“…Second, the density- and memory-based NSGA2 multiobjective optimization method is used to set the optimal solution to meet the requirement of energy consumption. …”
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An explainable AI-based framework for predicting and optimizing blast-induced ground vibrations in surface mining by Charan Kumar Ala, Zefree Lazarus Mayaluri, Aman Kaushik, Nikhat Parveen, Surabhi Saxena, Abu Taha Zamani, Debendra Muduli

“…A multiobjective optimization scheme is employed to balance competing goals: minimizing peak particle velocity (PPV), maximizing fragmentation efficiency, and reducing operational costs. …”
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