An Algorithmic Framework for Multiobjective Optimization by T. Ganesan, I. Elamvazuthi, Ku Zilati Ku Shaari, P. Vasant

“…Multiobjective (MO) optimization is an emerging field which is increasingly being encountered in many fields globally. …”
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Optimality Conditions for Nondifferentiable Multiobjective Semi-Infinite Programming Problems by D. Barilla, G. Caristi, A. Puglisi

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Designing Effective Drug Therapies Using a Multiobjective Spider-Wasp Optimizer by Trong-The Nguyen, Thi-Kien Dao, Van-Thien Nguyen, Duc-Tinh Pham

“…Designing effective drug therapies requires balancing competing objectives, such as therapeutic efficacy, safety, and cost efficiency—a task that poses significant challenges for conventional optimization methods. To address this, we propose the multi-objective spider–wasp optimizer (MOSWO), a novel approach uniquely emulating the cooperative predation dynamics between spiders and wasps observed in nature. …”
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A Novel Multiobjective Optimization Approach for EV Charging and Vehicle-to-Grid Scheduling Strategy by Muhammad Aurangzeb, Yifei Wang, Sheeraz Iqbal, Md Shafiullah, Sultan Alghamdi, Zahid Ullah

“…In this study, we proposed a novel multiobjective optimization technique for electric vehicles’ (EVs) charging and vehicle-to-grid (V2G) scheduling. …”
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MOBS-TD: Multiobjective Band Selection With Ideal Solution Optimization Strategy for Hyperspectral Target Detection by Xudong Sun, Peng Lin, Xiaodi Shang, Huijuan Pang, Xianping Fu

“…Therefore, this article proposes MOBS-TD, a multiobjective optimization (MO) based BS method specifically designed for target detection, which aims to select bands with better target separation and stronger robustness across various application scenes. …”
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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

“…A case study is conducted on a combined high-speed and intercity network of Zhengzhou Railway group in China. An extensive set of Pareto-optimal saturated timetables describing the effects on the capacity of the railway network is obtained. …”
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Accelerated Multiobjective Calibration of Fused Deposition Modeling 3D Printers Using Multitask Bayesian Optimization and Computer Vision by Graig S. Ganitano, Benji Maruyama, Gilbert L. Peterson

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A multiobjective evolutionary algorithm incorporating neighborhood detection for the vehicle routing problem with soft time windows by Hao Jiang, Zhiwei Zhang, Chao Wang, Xiaoshu Xiang

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An Extensive Study Using the Beetle Swarm Method to Optimize Single and Multiple Objectives of Various Optimal Power Flow Problems by K. Sriram, S. P. Mangaiyarkarasi, S. Sakthivel, L. Jebaraj

“…This article deals with the use of beetle swarm optimization algorithm (BSOA), for optimal power flow (OPF) solution, in an effective approach. …”
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A Local Pareto Front Guided Microscale Search Algorithm for Multi-Modal Multi-Objective Optimization by Yinghan Hong, Xiaohui Zheng, Fangqing Liu, Chunyun Li, Guizhen Mai, Dan Xiang, Cai Guo

“…Multimodal multiobjective optimization problems, characterized by multiple solutions mapping to identical objective vectors, are ubiquitous in real-world applications. …”
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Adaptive Multiobjective Evolutionary Generative Adversarial Network for Metaverse Network Intrusion Detection by Dikai Xu, Bin Cao

“…This paper further introduces a double mutation multiobjective evolutionary neural architecture search algorithm, integrating both the multiobjective evolutionary algorithm and the neural architecture search to optimize accuracy, real-time performance, and model diversity—a crucial aspect for Metaverse devices with diverse hardware constraints. …”
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A quasi oppositional forensic based investigation algorithm for optimizing distributed generation placement and sizing in power distribution systems by Binaya Kumar Malika, Vivekananda Pattanaik, Subhasis Panda, Binod Kumar Sahu, Pravat Kumar Rout, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, Stanislav Misak

“…The approach introduces a weighting factor-based multiobjective formulation, where optimal weighting factors are computed dynamically. …”
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Automation Countermeasure System for Intersection Optimization by Hua-pu Lu, Zhi-yuan Sun, Wen-cong Qu, Yue Li

“…To satisfy the demand of congestion problem solving in intersections, this paper studies the method of automation countermeasure system for intersection optimization (ACSIO). Taking into account the extensive contents and objectives of intersection optimization, this paper puts forward the functions and architecture of ACSIO based on intersection optimization problem statement. …”
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Interval-Valued Optimization Problems Involving α,ρ-Right Upper-Dini-Derivative Functions by Vasile Preda

“…We consider an interval-valued multiobjective problem. Some necessary and sufficient optimality conditions for weak efficient solutions are established under new generalized convexities with the tool-right upper-Dini-derivative, which is an extension of directional derivative. …”
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Dynamically Signal Timing Optimization of Isolated Intersection Traffic Lights Based on a Dual-Layer Framework by Junqi Shao, Ke Zhang, Anyou Wang, Shen Li

“…Existing studies rarely combine multiobjective optimization with dynamic adjustment methods. …”
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Intelligent bulk cargo terminal scheduling based on a novel chaotic-optimal thermodynamic evolutionary algorithm by Shida Liu, Qingsheng Liu, Li Wang, Xianlong Chen

“…The proposed method is adept at achieving multiobjective optimization, simultaneously improving the service level and reducing costs for bulk cargo terminals, which in turn boosts their competitiveness. …”
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Energy- and Resource-Aware Computation Offloading for Complex Tasks in Edge Environment by Kai Peng, Bohai Zhao, Shengjun Xue, Qingjia Huang

“…Firstly, a multiconstraint workflow mode has been established, and then a multiobjective optimization mode is formulated. Technically, an improved optimization algorithm is proposed to address this mode based on Nondominated Sorting Genetic Algorithm II. …”
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PROBLEMS OF COMMERCIAL BANK ATM NETWORK FORMATION by J. V. Domashova

“…To determine the most efficient allocation of ATMs, the multiobjective optimization model is built by applying the principles of goal programming. …”
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Conceptual Comparison of Population Based Metaheuristics for Engineering Problems by Oluwole Adekanmbi, Paul Green

“…Several extensions of differential evolution have been adopted in solving constrained and nonconstrained multiobjective optimization problems, but in this study, the third version of generalized differential evolution (GDE) is used for solving practical engineering problems. …”
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Ellipsoidal <i>K</i>-Means: An Automatic Clustering Approach for Non-Uniform Data Distributions by Alaa E. Abdel-Hakim, Abdel-Monem M. Ibrahim, Kheir Eddine Bouazza, Wael Deabes, Abdel-Rahman Hedar

“…This optimization is achieved using a newly-developed multiobjective simulated annealing approach. …”
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