Results 21 to 30 of about 11,497,181 (207)
An improved hyperparameter optimization framework for AutoML systems using evolutionary algorithms
Scientific Reports, 2023 For any machine learning model, finding the optimal hyperparameter setting has a direct and significant impact on the model’s performance. In this paper, we discuss different types of hyperparameter optimization techniques.
Amala Mary Vincent, P. Jidesh
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A Comprehensive Review on Evolutionary Optimization Techniques Applied for Unit Commitment Problem
IEEE Access, 2020 Unit Commitment (UC) is a key task in electric power system operation, aiming at minimizing the total cost of power generation. It is essential to monitor wide range of activities and practices of UC necessary to determine the operating plan of ...
N. Muralikrishnan, L. Jebaraj, C. Rajan
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Evolutionary bioinformatics online, 2007 Motivation: Although a great deal of progress is being made in the development of fast and reliable experimental techniques to extract genome-wide networks of protein-protein and protein-DNA interactions, the sequencing of new genomes proceeds at an even
Ekaterina Kotelnikova +3 more
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Climate change in a conceptual atmosphere–phytoplankton model [PDF]
Earth System Dynamics, 2020 We develop a conceptual coupled atmosphere–phytoplankton model by combining the Lorenz'84 general circulation model and the logistic population growth model under the condition of a climate change due to a linear time dependence of the strength of ...
G. Károly +5 more
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The SIOA Algorithm: A Bio-Inspired Approach for Efficient Optimization
AppliedMathThe Sporulation-Inspired Optimization Algorithm (SIOA) is an innovative metaheuristic optimization method inspired by the biological mechanisms of microbial sporulation and dispersal.
Vasileios Charilogis +3 more
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Evolutionary Techniques on Fetal Head Segmentation
AIJR Proceedings, 2021 In Obstetrics, Ultrasound is used to access fetus growth which can be measured by Head Circumference. Accurate segmentation of fetal head is important for calculating Head Circumference. As Deep Learning is gaining popularity because of its state of the art performance, the various Deep Learning techniques for the segmentation of fetal skull are ...
Prerna Bhalla +2 more
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Combining Parallel Stochastic Methods and Mixed Termination Rules in Optimization
AlgorithmsParallel optimization enables faster and more efficient problem-solving by reducing computational resource consumption and time. By simultaneously combining multiple methods, such as evolutionary algorithms and swarm-based optimization, effective ...
Vasileios Charilogis +2 more
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Morphological Evolution: Bioinspired Methods for Analyzing Bioinspired Robots
Frontiers in Robotics and AI, 2022 To fully understand the evolution of complex morphologies, analyses cannot stop at selection: It is essential to investigate the roles and interactions of multiple processes that drive evolutionary outcomes.
Eric Aaron +8 more
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Train Neural Networks with a Hybrid Method That Incorporates a Novel Simulated Annealing Procedure
AppliedMathIn this paper, an innovative hybrid technique is proposed for the efficient training of artificial neural networks, which are used both in class learning problems and in data fitting problems.
Ioannis G. Tsoulos +2 more
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An Innovative Hybrid Approach Producing Trial Solutions for Global Optimization
Applied SciencesGlobal optimization is critical in engineering, computer science, and various industrial applications as it aims to find optimal solutions for complex problems. The development of efficient algorithms has emerged from the need for optimization, with each
Vasileios Charilogis +3 more
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