Path Planning and Vehicle Scheduling Optimization for Logistic Distribution of Hazardous Materials in Full Container Load by Huo Chai, Ruichun He, Changxi Ma, Cunjie Dai, Kun Zhou

“…In the second stage, a multiobjective optimization method based on Nondominated Sorting Genetic Algorithm II (NSGA-II) is designed to obtain candidate transport paths. …”
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A Multistep Iterative Ranking Learning Method for Optimal Project Portfolio Planning of Smart Grid by Cong Liu, Xianghua Li, Jian Liang, Kun Sheng, Lingzhao Kong, Xiaoyan Peng, Wenxin Zhao

“…Optimal project portfolio planning is a typical nonconvex, multiobjective, highly constrained, multitemporal coupling, and combinatorial optimization problem. …”
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Multi-objective optimization for smart cities: a systematic review of algorithms, challenges, and future directions by YiFan Chen, Weng Howe Chan, Eileen Lee Ming Su, Qi Diao

“…While established methods such as Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Multiobjective Evolutionary Algorithm based on Decomposition (MOED/D) remain prevalent, hybrid frameworks that couple deep learning with evolutionary search display superior adaptability in high-dimensional, dynamic environments. …”
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Optimizing grid-dependent and islanded network operations through synergic active-reactive power integration by Zohaib Hussain Leghari, Dalila Mat Said, Mazhar Baloch, Pervez Hameed Shaikh, Hafiz Mudassir Munir, Radomir Gono, Tomas Novak, Petr Moldrik

“…IJaya employs a dynamic weight-based grid search to address premature convergence. …”
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Optimization of High-Speed Train Control Strategy for Traction Energy Saving Using an Improved Genetic Algorithm by Ruidan Su, Qianrong Gu, Tao Wen

“…The paper compared the PMPGA with the multiobjective fuzzy optimization algorithm and differential evolution based algorithm and showed that PMPGA has achieved better result. …”
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A Modified Pareto Ant Colony Optimization Approach to Solve Biobjective Weapon-Target Assignment Problem by You Li, Yingxin Kou, Zhanwu Li, An Xu, Yizhe Chang

“…Simulation results show that the proposed algorithm is successfully applied in the field of WTA which improves the performance of the traditional P-ACO algorithm effectively and produces better solutions than the two well-known multiobjective optimization algorithms NSGA-II and SPEA-II.…”
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Free-form catenary-inspired meta-couplers for ultra-high or broadband vertical coupling by Chen Tianqu, Xu Mingfeng, Pu Mingbo, Tang Xi, Zheng Yuhan, Zeng Qingji, Xiao Yuting, Ha Yingli, Guo Yinghui, Zhang Fei, Chi Nan, Luo Xiangang

“…Additionally, a broadband meta-coupler exceeds 350 nm bandwidth with 50 % average coupling efficiency across O- to L-bands using multiobjective optimization. These high-performance devices may render them suitable for applications in optical communications, sensing, and nonlinear optics. …”
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Optimization of off-grid hybrid renewable energy systems for cost-effective and reliable power supply in Gaita Selassie Ethiopia by Elsabet Ferede Agajie, Takele Ferede Agajie, Isaac Amoussou, Armand Fopah-Lele, Wirnkar Basil Nsanyuy, Baseem Khan, Mohit Bajaj, Ievgen Zaitsev, Emmanuel Tanyi

“…To achieve the results, meta-heuristics such as the Multiobjective Gray wolf optimization algorithm (MOGWO) and Multiobjective Grasshopper optimization algorithm (MOGOA) were applied using MATLAB software. …”
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Parametric Investigation and Thermoeconomic Optimization of a Combined Cycle for Recovering the Waste Heat from Nuclear Closed Brayton Cycle by Lihuang Luo, Hong Gao, Chao Liu, Xiaoxiao Xu

“…The combined cycle performance is also optimized based on a multiobjective function. Compared with the closed Brayton cycle, the optimized power output and overall efficiency of the combined cycle are higher by 2.41% and 2.43%, respectively. …”
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User‐side cloud energy storage configuration and operation optimization considering time‐of‐use pricing and state‐of‐charge management by Yongji Ma, Huifang Wang, Weiyi Yu, Fen Cao, Sisi Cheng, Anyuan Yang

“…Subsequently, demand response is implemented based on the updated TOU pricing. To address the imbalance of ESSs, an improved multiobjective particle swarm optimization is employed, followed by access verification of the multi‐ESS aggregation. …”
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SQP Optimization of 6dof 3x3 UPU Parallel Robotic System for Singularity Free and Maximized Reachable Workspace by Cenk Eryılmaz, V. E. Omurlu

“…The radius of mobile and base platforms and the lengths of the legs used in the platform are chosen as kinematic parameters to be optimized in a multiobjective optimization problem. …”
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Conceptual Comparison of Population Based Metaheuristics for Engineering Problems by Oluwole Adekanmbi, Paul Green

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Interactive Reference Point Procedure Based on the Conic Scalarizing Function by Ozden Ustun

“…In multiobjective optimization methods, multiple conflicting objectives are typically converted into a single objective optimization problem with the help of scalarizing functions. …”
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A Comprehensive Comparison between Multi-Objective Optimization Methods for Composite Hexagonal-Triangle Grid Structure using FSDT under External Hydrostatic Pressure by Mahsa Soheil Shamaee

“…Various factors, including shell thickness, angle of helical stiffeners, rib section area, and the number of stiffeners, are examined to understand their impact on the buckling load. To optimize the design, three multi-objective optimization algorithms are employed: Nondominated Sorting Genetic Algorithm II (NSGAII), Multiobjective Particle Swarm Optimization (MOPSO), and a hybrid method that combines NSGAII and MOPSO. …”
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A Genetic-Algorithm-Based Approach for Task Migration in Pervasive Clouds by Weishan Zhang, Shouchao Tan, Qinghua Lu, Xin Liu, Wenjuan Gong

“…During task migration, there are possibly a number of conflicting objectives to be considered when making migration decisions, such as less energy consumption and quick response, in order to find an optimal migration path. In this paper, we propose a genetic algorithms- (GAs-) based approach which is effective in addressing multiobjective optimization problems. …”
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Personnel Scheduling Problem under Hierarchical Management Based on Intelligent Algorithm by Li Huang, Chunming Ye, Jie Gao, Po-Chou Shih, Franley Mngumi, Xun Mei

“…Two hybrid heuristic algorithms based on multiobjective grey wolf optimizer (MOGWO) and three corresponding single heuristic algorithms are employed to solve this problem. …”
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A New Evaluation Method for Slope Stability Based on TOPSIS and MCS by Wenqiang Chen, Yufei Zhao, Lipeng Liu, Xiaogang Wang

“…TOPSIS and MCS are coupled to establish multiobjective optimization simulation model, which can search the more optimal and reliable weight. …”
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Models for sustainable management of livestock waste based on neural network architectures by Anatoliy Tryhuba, Krzysztof Mudryk, Inna Tryhuba, Marian Kotsylovskyi, Dmytro Sorokin, Olena Bezaltychna, Pawel Pysz, Taras Hutsol

“…A sustainable management approach based on neural network models is proposed and substantiated, focusing on predicting livestock waste generation and optimizing farm configurations. …”
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Bridge Management Strategy Based on Extreme User Costs for Bridge Network Condition by Ladislaus Lwambuka, Primus V. Mtenga

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A Slack Departure Strategy for Demand Responsive Transit Based on Bounded Rationality by Hongfei Wang, Hongzhi Guan, Huanmei Qin, Wanying Li, Junze Zhu

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