Multiobjective Optimization of Large-Scale EVs Charging Path Planning and Charging Pricing Strategy for Charging Station by Weicheng Hou, Qingsong Luo, Xiangdong Wu, Yimin Zhou, Gangquan Si

“…In this paper, an integrated framework is proposed for multiobjective EV path planning with varied charging pricing strategies, considering the driving distance, total time consumption, energy consumption, charging fee such factors, while the charging pricing strategy is designed based on the objectives of maximizing the total revenues of the charging stations and balancing the profits of the charging stations. …”
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Optimal Design of Voltage Reference Circuit and Ring Oscillator Circuit Using Multiobjective Differential Evolution Algorithm by Sandeep K. Dash, Bishnu Prasad De, Pravin K. Samanta, Bhargav Appasani, Rajib Kar, Durbadal Mandal, Nicu Bizon

“…The optimization technique used here is the multiobjective differential evolution algorithm (MDEA). …”
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Enhancing MANET Security Through Federated Learning and Multiobjective Optimization: A Trust-Aware Routing Framework by Saad M. Hassan, Mohd Murtadha Mohamad, Farkhana Binti Muchtar, Firoz Bin Yusuf Patel Dawoodi

“…This study addresses these challenges by proposing FLSTMT-LAR (Federated Learning Long Short-Term Memory Trust-aware Location-aided Routing), a novel framework that integrates multiobjective optimization with LSTM-based trust prediction for robust routing decisions, implements a decentralized federated learning mechanism for collaborative trust model updates while preserving node privacy, incorporates dynamic trust assessment using LSTM networks for accurate temporal behavior pattern analysis, and provides an adaptive routing decision mechanism that effectively balances multiple performance objectives including trustworthiness, energy efficiency, and network latency. …”
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A Multiobjective Cooperative Driving Framework Based on Evolutionary Algorithm and Multitask Learning by Xia Jiang, Jian Zhang, Qing-yang Li, Tian-yi Chen

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Multiobjective distribution system operation with demand response to optimize solar hosting capacity, voltage deviation index and network loss by Kabulo Loji, Sachin Sharma, Gulshan Sharma, Tanuj Rawat

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Decomposition-Based Multiobjective Evolutionary Algorithm for Community Detection in Dynamic Social Networks by Jingjing Ma, Jie Liu, Wenping Ma, Maoguo Gong, Licheng Jiao

“…In this paper, we propose a decomposition-based multiobjective community detection algorithm to simultaneously optimize these two objectives to reveal community structure and its evolution in dynamic networks. …”
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A Constrained Solution Update Strategy for Multiobjective Evolutionary Algorithm Based on Decomposition by Yuchao Su, Qiuzhen Lin, Jia Wang, Jianqiang Li, Jianyong Chen, Zhong Ming

“…This paper proposes a constrained solution update strategy for multiobjective evolutionary algorithm based on decomposition, in which each agent aims to optimize one decomposed subproblem. …”
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A gradient-descent-like learning-based framework in surrogate-assisted evolutionary algorithms for expensive many-objective optimization by Chaoyi Sun, Bo Zhang, Hai Sun, Rui Feng

“…This paper introduces the gradient-descent-like learning-based SAEA (GDL-SAEA) designed for expensive multiobjective optimization problems. …”
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Trade-offs of water non-market- and market-based management instruments: a Brazilian case study of a sugar and ethanol production area by Márcia M. G. Alcoforado de Moraes, Gerald N. Souza da Silva, Marcelo Pereira da Cunha, Nilena B. M. Dias

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Optimal Design of the Rear Leg Mechanism of Climbing Wheelchair by Li Can, Liu Zengbao, Lu Jianjun, Fan Liubin, Jia Lixiang

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Application of an improved ant colony algorithm based on unevenly distributed pheromone and multi-objective optimization in path planning for unmanned surface vehicles by Guobing XIE, Wei HE, Wangwen HU, Yixin Su, Binghua SHI

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A Multi-Objective Particle Swarm Optimization Approach for Optimizing K-Means Clustering Centroids by Aina Latifa Riyana Putri, Joko Riyono, Christina Eni Pujiastuti, Supriyadi

“…This study evaluates the performance of the standard K-Means algorithm and proposes a Multiobjective Particle Swarm Optimization K-Means (MOPSO+K-Means) approach to improve clustering accuracy. …”
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Estimating the Railway Network Capacity Utilization with Mixed Train Routes and Stopping Patterns: A Multiobjective Optimization Approach by Zhengwen Liao, Haiying Li, Jianrui Miao, Lingyun Meng

“…Based on a time-space network timetable saturation model, we extend the multiobjective capacity estimation approach to the detailed timetable level by optimizing the saturated timetable under capacity estimation objectives with respect to different routes and stopping patterns. …”
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Multiobjective optimization of dielectric, thermal, and mechanical properties of inorganic glasses utilizing explainable machine learning and genetic algorithm by Jincheng Qin, Faqiang Zhang, Mingsheng Ma, Yongxiang Li, Zhifu Liu

“…This study provides a model interpretation framework and an effective multiobjective optimization strategy for glass design.…”
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Multiobjective Hydraulic Design and Performance Analysis of a Vortex Pump Based on Orthogonal Tests by Hui Quan, Yongkang Wu, Ying Guo, Kai Song, Yanan Li

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Efficient Conical Area Differential Evolution with Biased Decomposition and Dual Populations for Constrained Optimization by Weiqin Ying, Bin Wu, Yu Wu, Yali Deng, Hainan Huang, Zhenyu Wang

“…This paper proposes an efficient conical area differential evolution (CADE) algorithm, which employs biased decomposition and dual populations for constrained optimization by borrowing the idea of cone decomposition for multiobjective optimization. …”
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A LEO Satellite Handover Strategy Based on Graph and Multiobjective Multiagent Path Finding by Zhiyun Jiang, Wei Li, Xiangtong Wang, Binbin Liang

“…To minimize the average handover times, maximize the average received power, and minimize the average number of conflicts, we propose a novel handover strategy based on multiobjective multiagent path finding (MOMAPF). …”
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Multiobjective Synchronous Control of Heavy-Duty Vehicles Based on Longitudinal and Lateral Coupling Dynamics by Yongjie Lu, Tongtong Wang, Hangxing Zhang

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Binary Secretary Bird Optimization Clustering by Novel Fitness Function Based on Voronoi Diagram in Wireless Sensor Networks by Mohammed Abdulkareem, Hadi S. Aghdasi, Pedram Salehpour, Mina Zolfy

“…Additionally, it defines a novel multiobjective fitness function that, for the first time, considers the Voronoi diagram of CHs as an optimization objective, besides other well-known objectives. …”
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Sequential approximate optimality conditions for a constrained convex vector minimization problem and application to multiobjective fractional programming problem by A. Ed-dahdah, M. Laghdir, M. Echchaabaoui, M. Mabrouk

“…To illustrate our main result, an application to multiobjective fractional pro-gramming problem is given. …”
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