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 Modified Multiobjective Self-Adaptive Differential Evolution Algorithm and Its Application on Optimization Design of the Nuclear Power System by Yunjia Yang, Shinian Peng, Li Zhu, Dan Zhang, Zhifang Qiu, Hongsheng Yuan, Lin Xian

“…The results indicate that MMOSADE has a better performance in convergence and diversity. Based on the MMOSADE, a multiobjective optimization design platform for the nuclear power system is proposed, and the application of which is carried out. …”
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A Novel Traffic Analysis Zone Division Methodology Based on Individual Travel Data by Kai Du, Jingni Song, Dan Chen, Ming Li, Yadi Zhu

“…The TAZ division problem is defined as a multiobjective optimization problem, including factors such as travel similarity, the homogeneity of travel intensity, the statistical accuracy of the area, geographic information preservation, travel ratio constraints, and shape constraints. …”
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SIMULATION AND OPTIMIZATION DESIGN OF AIRFOIL HONEYCOMBS STRUCTURE by ZHANG MingMing, WU HongWei, WANG Shuai, MA BinJie

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Coordinated Traffic-Signal Control of Wide Area Network via Hierarchical Reinforcement Learning by Takumi Saiki, Sachiyo Arai

“…By introducing hierarchy and applying multiobjective reinforcement learning, this study proposes switching multiple intersection-control policies corresponding to the traffic-flow ratio, which guarantees Pareto optimization of traffic signal control among intersections.…”
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Operation Optimization of Multiphase Pollutant Treatment Considering Carbon Emissions by Guo Yu, Dongjie Zhang, Hailong Deng, Chao Jiang, Quanling Zhang

“…It is urgent for multiobjective optimization of chemical processes to take into account carbon emissions, while ensuring economic benefits. …”
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The NFDA-Nonsmooth Feasible Directions Algorithm applied to construction of Pareto Fronts of Ridge and Lasso Regressions by W. P. Freire

“… Ridge and Lasso regressions are types of linear regression, a machine learning tool for dealing with data. Based on multiobjective optimization theory, we transform Ridge and Lasso regression into bi-objective optimization problems. …”
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Pareto Optimization of a Half Car Passive Suspension Model Using a Novel Multiobjective Heat Transfer Search Algorithm by Vimal Savsani, Vivek Patel, Bhargav Gadhvi, Mohamed Tawhid

“…Most of the modern multiobjective optimization algorithms are based on the search technique of genetic algorithms; however the search techniques of other recently developed metaheuristics are emerging topics among researchers. …”
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Using Different Approaches to Approximate a Pareto Front for a Multiobjective Evolutionary Algorithm: Optimal Thinning Regimes for Eucalyptus fastigata by Oliver Chikumbo

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RATIONAL COMPROMISE SEARCHING METHOD IN ONE CLASS OF MULTIOBJECTIVE OPTIMIZATION PROBLEM IN EVALUATION OF INDETERMINATE OBJECTIVES SET BY THE FUNCTIONS OF ONE VARIABLE by Oleh V. Borovyk, Liudmyla V. Borovyk, Mykola V. Krasovsky

“…One of them is the problem of finding a rational compromise in multiobjective optimization for a totality of one variable functions. …”
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Response Surface Methodology using desirability functions for multiobjective optimization to minimize indoor overheating hours and maximize useful daylight illuminance by Juan Gamero-Salinas, Jesús López-Fidalgo

“…Finally, robustness analysis with 1,000 bootstrap replications provided 95% confidence intervals for the optimal values. This study balances thermal comfort and daylight with few experiments using a computationally-efficient multiobjective approach.…”
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A Two-Stage Offline-to-Online Multiobjective Optimization Strategy for Ship Integrated Energy System Economical/ Environmental Scheduling Problem by Qing An, Jun Zhang, Xin Li, Xiaobing Mao, Yulong Feng, Xiao Li, Xiaodi Zhang, Ruoli Tang, Hongfeng Su

“…Based on the complexity of SIES-EESPs, a two-stage offline-to-online multiobjective optimization strategy for SIES-EESP is proposed, which transfers part of the energy dispatch online computing task to the offline high-performance computer systems. …”
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Multiobjective Day-Ahead Scheduling of Reconfigurable-Based Microgrids Through Electric Vehicles and Demand Response Integration by Ali Mirzaei, Navid Taghizadegan Kalantari, Sajad Najafi Ravadanegh

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Pareto Design of Decoupled Sliding-Mode Controllers for Nonlinear Systems Based on a Multiobjective Genetic Algorithm by M. J. Mahmoodabadi, A. Bagheri, N. Nariman-zadeh, A. Jamali, R. Abedzadeh Maafi

“…This paper presents Pareto design of decoupled sliding-mode controllers based on a multiobjective genetic algorithm for several fourth-order coupled nonlinear systems. …”
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Multiobjective optimization on CI engine performance and emissions fueled with croton macrostachyus (CMS) seed oil biodiesel blends employing the desirability approach by Adem Siraj Mohammed, Venkata Ramayya Ancha, Samson Mekbib Atnaw

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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

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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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Multiobjective Cognitive Cooperative Jamming Decision-Making Method Based on Tabu Search-Artificial Bee Colony Algorithm by Fang Ye, Fei Che, Lipeng Gao

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Multiobjective optimization of welding process variables in RMD and FCAW techniques using a heat transfer search algorithm for 316LN stainless steel by Ravi Dave, Indravadan B. Dave, Jay J. Vora, Rakesh Chaudhari, Subhash Das, Prashant Kumar Gangwar

“…The heat transfer search (HTS) algorithm was used for both single objective and multiobjective optimization. For RMD, optimal results were achieved with a BW of 9.95 mm, BH of 4.39 mm, DOP of 2.26 mm, and HAZ of 0.29 mm, at 130 A, 18 V, and 20 L/min GFR. …”
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Exposing Optimal Feature Sets for Enhancing Machine Learning Performance by Hiba Mohammed Al-Marwai, Ghaleb H. Al-Gaphari, Mohammed Mohammed Zayed

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