Results 51 to 60 of about 75,350 (240)
Many-Objective Real-World Engineering Problems: A Comparative Study of State-of-the-Art Algorithms
IEEE Access, 2023 Many-objective optimization has recently gained popularity as it poses significant challenges for the existing algorithms. Therefore, numerous optimization algorithms have been developed to handle many-objective optimization in the literature.
Vikas Palakonda, Jae-Mo Kang
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective People with epilepsy (PWE) may experience cognitive deficits but fail to undergo formal evaluation. This study compares cognitive status between PWE and healthy controls in the West African Republic of Guinea. Methods A cross‐sectional, case–control study was conducted in sequential recruitment phases (July 2024–July 2025) at Ignace ...
Maya L. Mastick +14 more
wiley +1 more source
International Journal of Computational Intelligence Systems, 2017 A priori incorporation of the decision maker’s preferences is a crucial issue in many-objective evolutionary optimization. Some approaches characterize the best compromise solution of this problem through fuzzy outranking relations; however, they require
Laura Cruz-Reyes +2 more
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Scientific ReportsIn recent years, researchers have taken the many-objective optimization algorithm, which can optimize 5, 8, 10, 15, 20 objective functions simultaneously, as a new research topic. However, the current research on many-objective optimization technology also encounters some challenges.
Jiale Zhao +5 more
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Arthritis Care &Research, Accepted Article.Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy +9 more
wiley +1 more source
Soft Computing Letters, 2021 This paper presents a new multi-attribute decision-making (MADM) method, named as R-method, for ranking of Pareto-optimal solutions and selecting the best solution in multi- and many-objective optimization problems.
R.V. Rao, R.J. Lakshmi
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Impact of Positive Lifestyle Behaviors on Direct Health Care Cost Savings for Low Back Pain
Arthritis Care &Research, EarlyView.Objective This study aimed to investigate the relationship between a previously purpose‐developed lifestyle behavior scale and health care cost savings related to low back pain (LBP). Methods This longitudinal study used data from the Australian Twin Back (AUTBACK) study. LBP and lifestyle behavior measures were collected at baseline. Physical activity
Ye Tian +8 more
wiley +1 more source
Improvement Strategies for Visualizing Solution Sets in Many-Objective Optimization Problems
IEEE AccessIn real-world multi-objective optimization, dealing with many objectives and a large number of solutions is a common challenge that complicates data visualization and analysis.
Christian von Lucken +3 more
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A Decomposition Method Based on Random Objective Division for MOEA/D in Many-Objective Optimization
IEEE Access, 2020 With the number increase of optimization objectives, the selection pressure begins to decrease, and the performance of multi-objective evolutionary algorithms becomes gradually inefficient.
Xue Lu, Yanyan Tan, Wei Zheng, Lili Meng
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Arthritis Care &Research, EarlyView.Objective A patient‐centered approach for chronic disease management, including systemic lupus erythematosus (SLE), aligns treatment with patients’ values and preferences, leading to improved outcomes. This paper summarizes how patient experiences, perspectives, and priorities informed the American College of Rheumatology (ACR) 2024 Lupus Nephritis (LN)
Shivani Garg +20 more
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