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Numerical and evolutionary optimizat...

Numerical and Evolutionary Optimization Workshop ((2017 :)

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Numerical and evolutionary optimization - NEO 2017

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Numerical and evolutionary optimization - NEO 2017/ edited by Leonardo Trujillo ... [et al.].
其他題名:	NEO 2017
其他作者:	Trujillo, Leonardo.
團體作者:	Numerical and Evolutionary Optimization Workshop
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xiv, 312 p. :ill., digital ;24 cm.
內容註:	Deterministic Parameter Control in Differential Evolution with Combined Variants for Constrained Search Spaces -- A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems -- Evaluating Memetic Building Spatial Design Optimisation Using Hypervolume Indicator Gradient Ascent -- Fitting Multiple Ellipses with PEARL and a Multi-objective Genetic Algorithm -- Analyzing Evolutionary Art Audience Interaction by Means of a Kinect Based Non-Intrusive Method -- Applying Control Theory to Optimize the Inventory Holding Costs in Supply Chains -- On the Selection of Tuning Parameters in Predictive Controllers Based on NSGA-II -- IDA-PBC Controller Tuning Using Steepest Descent -- Self-Tuning for a SISO-Type Fuzzy Control Based on the Relay Feedback Approach -- Optimal Design Of Sliding Mode Control Combined with Positive Position Feedback -- Biot's Parameters Estimation In Ultrasound Propagation Through Cancellous Bone -- Optimal Sizing of Low-DropOut Voltage Regulators by NSGA-II and PVT Analysis -- Genetic Optimization of Fuzzy Systems for the Classiﬁcation of Treated Water Quality -- Stabilization Based on Fuzzy System for Structures Affected by External Disturbances -- Comparison of Two Methods for I/Q Imbalance Compensation Applied in RF Power Ampliﬁers -- An Application of Data Envelopment Analysis to the Performance Assessment of Online Social Networks Usage in Mazatlan Hotel Organizations.
Contained By:	Springer eBooks
標題:	Mathematical optimization - Congresses. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-96104-0
ISBN:	9783319961040

Numerical and evolutionary optimization - NEO 2017
Numerical and evolutionary optimization - NEO 2017[electronic resource] /NEO 2017edited by Leonardo Trujillo ... [et al.]. - Cham :Springer International Publishing :2019. - xiv, 312 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.7851860-949X ;. - Studies in computational intelligence ;v.785..

Deterministic Parameter Control in Differential Evolution with Combined Variants for Constrained Search Spaces -- A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems -- Evaluating Memetic Building Spatial Design Optimisation Using Hypervolume Indicator Gradient Ascent -- Fitting Multiple Ellipses with PEARL and a Multi-objective Genetic Algorithm -- Analyzing Evolutionary Art Audience Interaction by Means of a Kinect Based Non-Intrusive Method -- Applying Control Theory to Optimize the Inventory Holding Costs in Supply Chains -- On the Selection of Tuning Parameters in Predictive Controllers Based on NSGA-II -- IDA-PBC Controller Tuning Using Steepest Descent -- Self-Tuning for a SISO-Type Fuzzy Control Based on the Relay Feedback Approach -- Optimal Design Of Sliding Mode Control Combined with Positive Position Feedback -- Biot's Parameters Estimation In Ultrasound Propagation Through Cancellous Bone -- Optimal Sizing of Low-DropOut Voltage Regulators by NSGA-II and PVT Analysis -- Genetic Optimization of Fuzzy Systems for the Classiﬁcation of Treated Water Quality -- Stabilization Based on Fuzzy System for Structures Affected by External Disturbances -- Comparison of Two Methods for I/Q Imbalance Compensation Applied in RF Power Ampliﬁers -- An Application of Data Envelopment Analysis to the Performance Assessment of Online Social Networks Usage in Mazatlan Hotel Organizations.

This book features 15 chapters based on the Numerical and Evolutionary Optimization (NEO 2017) workshop, held from September 27 to 29 in the city of Tijuana, Mexico. The event gathered researchers from two complimentary fields to discuss the theory, development and application of state-of-the-art techniques to address search and optimization problems. The lively event included 7 invited talks and 64 regular talks covering a wide range of topics, from evolutionary computer vision and machine learning with evolutionary computation, to set oriented numeric and steepest descent techniques. Including research submitted by the NEO community, the book provides informative and stimulating material for future research in the field.

ISBN: 9783319961040

Standard No.: 10.1007/978-3-319-96104-0doiSubjects--Topical Terms:

647613
Mathematical optimization
--Congresses.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

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