Results 71 to 80 of about 48,260 (274)
Advanced Intelligent Systems, EarlyView.This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
A novel metaheuristic optimizer GPSed via artificial intelligence for reliable economic dispatch
Scientific ReportsRecently, meta-heuristic optimization algorithms have enhanced resource efficiency, facilitated informed decision-making, and addressed complex problems involving multiple variables and constraints in engineering and science fields.
Mahmoud Ibrahim Mohamed +2 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Energy Strategy ReviewsThe synergy between deep learning and meta-heuristic algorithms presents a promising avenue for tackling the complexities of energy-related modeling and forecasting tasks.
Eghbal Hosseini +7 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Manufacturing Review, 2014 In this paper, a hybrid flow shop scheduling problem with a new approach considering time lags and sequence-dependent setup time in realistic situations is presented.
Farahmand-Mehr Mohammad +4 more
doaj +1 more source
Annals of Neurology, EarlyView.Objective The optimal treatment for distal medium vessel occlusion (DMVO) stroke remains uncertain, and evidence comparing endovascular therapy (EVT) with medical management (MM) is limited. We aimed to develop and validate a predictive modeling tool to assess individual treatment benefit in DMVO stroke using explainable counterfactual treatment ...
Mohamed F. Doheim +14 more
wiley +1 more source
Sensors, 2015 Reducing energy consumption is becoming very important in order to keep battery life and lower overall operational costs for heterogeneous real-time multiprocessor systems. In this paper, we first formulate this as a combinatorial optimization problem.
Weizhe Zhang +3 more
doaj +1 more source
Compress Digital Image based on Genetic Meta-Heuristic algorithm [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2013 In this research a propose method has be used to compression Data of digital image based on one of Meta Heuristic Algorithm. Genetic Meta Heuristic has been applied to obtain effective data and then performed compression operation using Vector ...
Fawziya Ramo, Yaser Al Deen
doaj +1 more source
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT In order to reflect the actual production situation more comprehensively and optimize the production cost, this paper solves the short‐term scheduling optimization problem for a single pipeline containing high melting point crude oil. Based on the refining plan given by the upper layer, a multi‐objective optimization model with high melting ...
Jing Yao +5 more
wiley +1 more source