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Sequential Parameter Optimization [PDF]
2005 IEEE Congress on Evolutionary Computation, 2005 Sequential parameter optimization is a heuristic that combines classical and modern statistical techniques to improve the performance of search algorithms. To demonstrate its flexibility, three scenarios are discussed: (1) no experience how to choose the parameter setting of an algorithm is available, (2) a comparison with other algorithms is needed ...
T. Bartz-Beielstein +2 more
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Parameter optimization in general Scan methods
Revista Facultad de Ingeniería Universidad de Antioquia, 2013 The present work shows an application of Experimental Design to the methods for disease cluster detection: Classic Scan and Fuzzy Scan. A non parametric experimental design for two factors is used. The fundamental target is to study the influence of the
Laureano Rodríguez Corvea +4 more
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Kongzhi Yu Xinxi JishuFor the low parameter tuning efficiency, accuracy and adaptability of the traditional PID parameter tuning method currently adopted in the wind turbine variable-pitch system, this paper presents a method for self-optimization of wind turbine variable ...
CHANG Sheng, WAN Yubin, JIANG Tao
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Paladyn, 2022 A number of suggestions are made based on the improved evolutionary algorithm and using the polishing parameter optimization of an industrial robot as an example to optimize the industrial process parameter control. By fitting a cubic B-spline curve, the
Yao Cenglin +4 more
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Multi-parameter detector optimization: SHiP case [PDF]
EPJ Web of ConferencesSHiP (Search for Hidden Particles) and the associated SPS Beam Dump Facility is a new general-purpose experiment proposed at the SPS to search for "hidden" particles as predicted by a very large number of recently elaborated models of Hidden Sectors ...
Kurbatov Evgeny +2 more
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Machine-Learning-Based Design Optimization of Chassis Bushings
Vehicles, 2023 In this work, a method is developed for the component design of chassis bushings with contoured inner cores, aided by artificial neural networks (ANNs) and design optimization.
Eric Töpel +4 more
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Density-Based Penalty Parameter Optimization on C-SVM
The Scientific World Journal, 2014 The support vector machine (SVM) is one of the most widely used approaches for data classification and regression. SVM achieves the largest distance between the positive and negative support vectors, which neglects the remote instances away from the SVM ...
Yun Liu +3 more
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IEEE Access, 2020 Single objective real-parameter optimization problems exist in many areas of the real world, and Differential Evolution (DE) is a powerful population based stochastic optimization approach for tackling such problems.
Zhenyu Meng +3 more
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A Criteria Transformation Approach to Pattern Matching based on Non-Linear Parameter Optimization
Journal of Intelligent Systems, 2015 This paper presents a concept for pattern matching based on a parameter optimization system for approximative numerical calculation of some parameter combination under soft and hard constraints. The concept uses a non-linear parameter optimization method
John Christian +4 more
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Civil and Environmental Engineering, 2016 The sandwich structures have multifold advantages with respect to other types of structures. Besides the architectural possibilities due to their appearance, those structures can carry the same or even higher loads than some other similar structures ...
Nikolić Ružica R. +2 more
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