Results 21 to 30 of about 149,185 (266)
Unsupervised feature selection in binarization of real attributes for conceptual clustering [PDF]
ITM Web of ConferencesThis paper proposes an approach for processing noisy data to form homogeneous subgroups of objects based on Formal Concept Analysis (FCA). The approach involves binary encoding of heterogeneous features and unsupervised feature selection using the ...
Shkaberina Guzel +3 more
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Energies, 2023 This article proposes a solution to the Profit-Based Unit Commitment (PBUC) problem to maximize the profit of a power generation company that owns thermal units and compressed air energy storage (CAES) systems, considering the Day-Ahead market.
Lucas Santiago Nepomuceno +4 more
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Optimization of traffic light phases at adjacent intersections [PDF]
ITM Web of ConferencesThe article studies the relationships between the time intervals of traffic light phases and intersections. Traffic light objects can be mutually useful in relation to each other if they are correctly adjusted and the existing load is distributed.
Stupin Artem +2 more
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Towards Hybrid Optimal Control [PDF]
auto, 2000 In this article a general class of hybrid optimal control problems with continuous and discrete state variables and control inputs is defined. After a brief review of conventional optimal control, major novel challenges resulting from the hybrid nature are discussed.
Martin Buss +3 more
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Dynamic programming in package Mathematica [PDF]
ITM Web of ConferencesDynamic programming (DP) is a powerful algorithmic technique for solving optimization problems by breaking them down into simpler subproblems. This paper presents an implementation of DP algorithms for two classic optimization problems: the Knapsack ...
Stanimirović Predrag S., Stupin Artem
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A Parallel Ensemble Learning Model for Fault Detection and Diagnosis of Industrial Machinery
IEEE Access, 2023 Accurate fault detection and diagnosis (FDD) is critical to ensure the safe and reliable operation of industrial machines. Deep learning has recently emerged as effective methods for machine FDD applications.
Mohammed Nasser Al-Andoli +4 more
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Optimal superconducting hybrid machine
Physical Review Research, 2023 Optimal engine performances can be accomplished by quantum effects. Here we explore two routes toward ideal engines, namely (1) quantum systems that operate as hybrid machines being able to perform more than one useful task and (2) the suppression of fluctuations in doing such tasks.
Rosa López, Jong Soo Lim, Kun Woo Kim
openaire +2 more sources
HYBRID OPTIMIZATION METHOD BASED ON GENETIC ALGORITHM FOR GRADUATES STUDENTS
Pilar Nusa Mandiri, 2020 Graduation is a target that must be achieved by students, especially graduating on time will be very important. To determine students who graduate on time or cannot be determined before students reach the final semester and hold a trial, many students ...
Ridwansyah Ridwansyah +2 more
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Hyper-Heuristic Approach for Tuning Parameter Adaptation in Differential Evolution
AxiomsDifferential evolution (DE) is one of the most promising black-box numerical optimization methods. However, DE algorithms suffer from the problem of control parameter settings.
Vladimir Stanovov +2 more
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Methodology for assessing the predicted didactic effects from the use of educational and training tools [PDF]
ITM Web of ConferencesThe assessment of didactic effect is the most important in evaluating the effectiveness of training simulators. Modern methods of training specialists have shown that the most applicable at present is the step-by-step formation of skills and abilities ...
Zhukov Aleksandr +4 more
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