Results 71 to 80 of about 15,134 (244)
IEEE AccessIn environments rich in data, machine learning models often encounter challenges such as data sparsity and overfitting, primarily due to datasets with an excessive number of features.
Keerthi Gabbi Reddy, Deepasikha Mishra
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Multi‐neighborhood simulated annealing for the home healthcare routing and scheduling problem
International Transactions in Operational Research, Volume 33, Issue 1, Page 38-67, January 2026.Abstract Over time, the focus on supportive and geriatric care has shifted from being predominantly provided in institutional settings like nursing or rest homes to be delivered within the homes of the patients. Trained caregivers now provide home healthcare services by visiting patients in their own homes and carrying out specific services based on ...
Sara Ceschia +3 more
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A simheuristic‐based algorithm for the stochastic long‐term maintenance scheduling problem
International Transactions in Operational Research, Volume 33, Issue 1, Page 268-296, January 2026.Abstract This work addresses the problem of assigning preventive maintenance jobs in a 52‐week planning horizon. Given a set of machines that need preventive maintenance, a set of maintenance jobs in these machines, a set of work teams, and a planning horizon, the problem consists of assigning each job to a work team in a given instant of the planning ...
Diego G. Coelho +2 more
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International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.In response to the multifactory collaborative distributed characteristics of building material equipment during the manufacturing process, this paper studies the two‐stage (production–assembly) distributed assembly flexible job shop scheduling problem (DAFJSP) and constructs a corresponding mathematical model. To address this complex NP‐hard problem, a
Shengwen Zhou +5 more
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, 2016 Evolutionary multitasking has recently emerged as a novel paradigm that enables the similarities and/or latent complementarities (if present) between distinct optimization tasks to be exploited in an autonomous manner simply by solving them together with
Gupta, Abhishek, Ong, Yew-Soon
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Campbell Systematic Reviews, Volume 21, Issue 4, December 2025.ABSTRACT This is the protocol for a Campbell Systematic Review. This review will address two aims: (1) A qualitative synthesis of literature on the composition of online far right propaganda, and (2) A quantitative synthesis of literature examining the impact of exposure to online far‐right propaganda on audiences. These syntheses will be guided by the
Mia Doolan, Katie Cox, Kiran M. Sarma
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Myths and Legends of the Baldwin Effect [PDF]
, 1996 This position paper argues that the Baldwin effect is widely misunderstood by the evolutionary computation community. The misunderstandings appear to fall into two general categories.
Turney, Peter
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Parameter Identification of Photovoltaic Models Using an Enhanced INFO Algorithm
CAAI Transactions on Intelligence Technology, Volume 10, Issue 6, Page 1844-1866, December 2025.ABSTRACT Photovoltaic (PV) systems are electrical systems designed to convert solar energy into electrical energy. As a crucial component of PV systems, harsh weather conditions, photovoltaic panel temperature and solar irradiance influence the power output of photovoltaic cells.
Ying Chen +7 more
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A study on meme propagation in multimemetic algorithms
International Journal of Applied Mathematics and Computer Science, 2015 Multimemetic algorithms (MMAs) are a subclass of memetic algorithms in which memes are explicitly attached to genotypes and evolve alongside them. We analyze the propagation of memes in MMAs with a spatial structure.
Nogueras Rafael, Cotta Carlos
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Multiobjective car relocation problem in one-way carsharing system
Journal of Modern Transportation, 2018 In this paper, we present a multiobjective approach for solving the one-way car relocation problem. We fix three objectives that include the number of remaining rejected demands, the number of jockeys used for the relocation operations, and the total ...
Rabih Zakaria +2 more
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