A New Approach Based on the Learning Effect for Sequence-Dependent Parallel Machine Scheduling Problem under Uncertainty by Maryam Ebrahimi, Parviz Dinari, Mohamad Samaei, Rouhollah Sohrabi, Soheil Sherafatianfini

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A Heuristic Ranking Approach on Capacity Benefit Margin Determination Using Pareto-Based Evolutionary Programming Technique by Muhammad Murtadha Othman, Nurulazmi Abd Rahman, Ismail Musirin, Mahmud Fotuhi-Firuzabad, Abbas Rajabi-Ghahnavieh

“…This paper introduces a novel multiobjective approach for capacity benefit margin (CBM) assessment taking into account tie-line reliability of interconnected systems. …”
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Statistical Modelling to Study the Implications of Coated Tools for Machining AA 2014 Using Grey Taguchi-Based Response Surface Methodology by Madhanagopal Manoharan, Arul Kulandaivel, Adinarayanan Arunagiri, Mohamad Reda A. Refaai, Simon Yishak, Gowthaman Buddharsamy

“…Grey Taguchi-based Response Surface Methodology (GTRSM) is used for multiobjective multiresponse optimization problems to find the optimum input process parameter combination for the desired response. …”
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Study on Mechanical Performance of ECC Reinforced by Polypropylene Fiber Mixed with Manufactured Sand and Carbon Black (CBMSPP-ECC) Based on Response Surface Method by Nixia Song, Min Song, Yunlong Zhang, Jing Wang

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Improving the Performance Characteristics of Three-Phase Asynchronous Induction Motor Drive Using Hybrid Systems Control Method Based on Direct Torque Control by Mohammad Shafiee-Fini, Mohammad Javad Navardi, Hossein Ghasvari

“…In the suggested method, the concepts of flux and torque vector orientation were utilized to decrease the impacts of flux and torque ripples in a multiobjective cost function. Subsequently, the optimal voltage vector was chosen according to the minimization of the intended objective function by applying the predictive control concepts. …”
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Adaptive Robust Method for Dynamic Economic Emission Dispatch Incorporating Renewable Energy and Energy Storage by Tingli Cheng, Minyou Chen, Yingxiang Wang, Bo Li, Muhammad Arshad Shehzad Hassan, Tao Chen, Ruilin Xu

“…To tackle the problems, a day-ahead, optimal dispatch problem incorporating energy storage (ES) is formulated and solved based on a robust multiobjective optimization method. …”
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RESEARCH OF THE ROBOTIC DESIGN WITH LARGE DEFLECTIONS USING FINITE ELEMENT ANALYSIS by S. I. Lukashov, V. V. Naprasnikov, A. M. Bogacuk

“…The results of multiobjective optimization of the construction are presented.…”
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Magnetic Field Active Shielding of Overhead Power Lines with Triangular Phase Conductors Arrangements by Kuznetsov B., Nikitina T., Bovdui I.

“…The calculation of multiobjective game solution is based on the multi swarm particles optimization algorithms. …”
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Intelligent Warehouse Robot Scheduling System Using a Modified Nondominated Sorting Algorithm by Jia Ma, Shujun Yang, Hao Jing

“…To solve the robot task assignment problem in intelligent warehouse, a novel Pareto-based multiobjective optimization algorithm (MOEA) is proposed, and the aggregation function is invoked to replace the crowding distance; the brain storm operator is used for crossover and mutation. …”
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Enhancement of Capacitated Transportation Problem in Fuzzy Environment by Hamiden Abd El-Wahed Khalifa, Pavan Kumar, Majed G. Alharbi

“…The maximization (minimization) problem considering the interval objective function is transformed to multiobjective optimization problem based on order relations introduced by the preference of policy makers between interval profits (costs). …”
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Dealing with Energy-QoE Trade-Offs in Mobile Video by Fidel Liberal, Ianire Taboada, Jose-Oscar Fajardo

“…A single-objective optimization is proposed based on dynamically selecting the number of layers, which is able to minimize the energy consumption with the constraint of a minimal quality threshold to be reached. …”
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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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PERFORMANCE ANALYSIS AND LIGHTWEIGHT DESIGN OF A FRONT SUBFRAME by JIANG LiHong, WU QingJie

“…Aiming at checking the performance of a front subframe whether could meet the design requirements.Firstly,the grid model of the front subframe was built by adopting finite element method,and it was modal performance analyzed,the analysis result showed that its first two natural frequency were higher than the engine excitation frequency,so it could meet dynamic performance requirements.Secondly,the front subframe was modal tested,the test result showed that its simulation analysis precision was high.Thirdly,the front suspension dynamic model was built,and it was load based on theoretical forces,so its connection point load of typical working condition were obtained.Fourthly,the front subframe was strength analyzed by adopting inertia release method,the analysis result showed that its stress were lower than material yield value,so it could meet meet the strength characteristics.Lastly,the front subframe was lightweight designed by adopting neighborhood cultivation multiobjective genetic algorithm,the optimal thickness were obtained.Its modal performance and strength performance could meet the requirements after optimization,its weight had been successfully reduced by 9.9%,and it had passed the real vehicle road test verification.The theoretical and scientific reference were provided for obtaining the structural performance and optimization design.…”
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A Knee Point-Driven Many-Objective Evolutionary Algorithm with Adaptive Switching Mechanism by Maowei He, Xu Wang, Hanning Chen, Xuguang Li

“…The Pareto dominance-based evolutionary algorithms can effectively address multiobjective optimization problems (MOPs). …”
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Task Allocation and Path Planning for Collaborative Autonomous Underwater Vehicles Operating through an Underwater Acoustic Network by Yueyue Deng, Pierre-Philippe J. Beaujean, Edgar An, Edward Carlson

“…This paper presents a solution for the task allocation and path planning for multiple AUVs under marginal acoustic communication conditions: a location-aided task allocation framework (LAAF) algorithm for multitarget task assignment and the grid-based multiobjective optimal programming (GMOOP) mathematical model for finding an optimal vehicle command decision given a set of objectives and constraints. …”
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Satellite Massive Array With Reconfigurable Antenna Units for Long-Life and Energy Saving Satellites by Francesco Alessio Dicandia, Simone Genovesi

“…A remarkable scanning range improvement and peak side lobe level (PSLL) lowering of the addressed concentric ring array (CRA) is achieved by exploiting a multiobjective optimization based on the Pareto front. …”
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Influence of Geometric Parameters on Intake Performance of 3D Ramp-Type Scramjet Inlet by Sunoh Kang, Sung Ha Kwon, Donghun Park

“…The overall tendency of intake performance from the response surfaces was compared to observation from OFAT analysis. The optimal inlet geometries were explored by selecting appropriate objective functions and applying the genetic algorithm-based multiobjective optimization. …”
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Large language models open new way of AI-assisted molecule design for chemists by Shoichi Ishida, Tomohiro Sato, Teruki Honma, Kei Terayama

“…Our study showcases the utility of ChatChemTS through de novo design cases involving chromophores and anticancer drugs (epidermal growth factor receptor inhibitors), exemplifying single- and multiobjective molecule optimization scenarios, respectively. …”
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Load balancing for high performance computing using quantum annealing by Omer Rathore, Alastair Basden, Nicholas Chancellor, Halim Kusumaatmaja

“…However, for the more complex particle formulation, approached as a multiobjective optimization, quantum annealing solutions are demonstrably Pareto dominant to state of the art classical methods across both objectives. …”
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A Location Selection Policy of Live Virtual Machine Migration for Power Saving and Load Balancing by Jia Zhao, Yan Ding, Gaochao Xu, Liang Hu, Yushuang Dong, Xiaodong Fu

“…We propose a novel approach MOGA-LS, which is a heuristic and self-adaptive multiobjective optimization algorithm based on the improved genetic algorithm (GA). …”
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