國立高雄大學圖資館 |

Optimization methods for product and system design

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimization methods for product and system designedited by Anand J. Kulkarni.
其他作者:	Kulkarni, Anand Jayant.
出版者:	Singapore :Springer Nature Singapore :2023.
面頁冊數:	xv, 259 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Product design.
電子資源:	https://doi.org/10.1007/978-981-99-1521-7
ISBN:	9789819915217$q(electronic bk.)

Optimization methods for product and system design
Optimization methods for product and system design[electronic resource] /edited by Anand J. Kulkarni. - Singapore :Springer Nature Singapore :2023. - xv, 259 p. :ill. (chiefly color), digital ;24 cm. - Engineering optimization: methods and applications,2731-4057. - Engineering optimization: methods and applications..

Multi-objective Optimization of Ventilated Brake Disc based on Finite Element Simulation -- Multi Response Optimization on Process Parameters of WEDM for Ti-6Al-4V Alloy Using Grey Relational Approach -- Tuning of Complex Coefficient Fractional Complex Order Controllers for a Generalized System Structure - An Optimisation Approach -- A Review on Intelligent Optimization Techniques based Fault Detection and Diagnosis in Power System Applications -- Prediction of Surface Roughness using Desirability Concept and Support Vector Machine for Fused Deposition Modeling Part -- An Extremum Model for the Performance Analysis of a Loop Heat Pipe using Nano-fluids -- Selected Multi-Criteria Decision-Making Methods and their Applications to Product and System Design -- Cohort Intelligence Solution to Bank Asset Liability Management -- Cohort Intelligence Solution to Goal Programming Problems from Financial Management Domain -- Solving Asset and Liability Management Problem using Cohort Intelligence and Goal Programming -- Proposing a New Feature Clustering Method in order to the Binary Classification of Covid-19 in Computed Tomography Images -- Deep Learning Framework for Brain Tumor and Alzheimer Disease Prognosis using MRI Images -- Genetic Algorithm to Maximize the Tourist's Satisfaction: An Assessment of Technology Adoption for a Tourist App.

This edited book provides a platform to discuss the state-of-the-art developments associated with traditional and advanced single-/multi-objective criteria optimization methods for addressing problems of performance enhancement of the products and systems design. The book in detail discusses the core ideas, underlying principles, mathematical formulations, critical reviews and experimentations, and solutions to complex problems from within the domains such as mechanical engineering design and manufacturing, fault detection and diagnosis, control systems, financial systems, machine learning in medical image processing as well as problems from operations research domain. It will serve as a valuable reference to academicians and industry practitioners involved in improving the efficiency, cost, performance, and durability of the products and systems. The chapters in this book may further give impetus to explore new avenues leading towards multidisciplinary research discussions associated with the resilience and sustainability of the existing systems.

ISBN: 9789819915217$q(electronic bk.)

Standard No.: 10.1007/978-981-99-1521-7doiSubjects--Topical Terms:

530871
Product design.

LC Class. No.: TS171.4

Dewey Class. No.: 658.5752

Optimization methods for product and system design
LDR:03486nmm a2200337 a 4500 001 646771
003 DE-He213
005 20230611221825.0
006 m d
007 cr nn 008maaau
008 240116s2023 si s 0 eng d
020 $a 9789819915217$q(electronic bk.)
020 $a 9789819915200$q(paper)
024 7 $a 10.1007/978-981-99-1521-7 $2 doi
035 $a 978-981-99-1521-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TS171.4
072 7 $a UGC $2 bicssc
072 7 $a COM007000 $2 bisacsh
072 7 $a UGC $2 thema
082 0 4 $a 658.5752 $2 23
090 $a TS171.4 $b .O62 2023
245 0 0 $a Optimization methods for product and system design $h [electronic resource] / $c edited by Anand J. Kulkarni.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xv, 259 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Engineering optimization: methods and applications, $x 2731-4057
505 0 $a Multi-objective Optimization of Ventilated Brake Disc based on Finite Element Simulation -- Multi Response Optimization on Process Parameters of WEDM for Ti-6Al-4V Alloy Using Grey Relational Approach -- Tuning of Complex Coefficient Fractional Complex Order Controllers for a Generalized System Structure - An Optimisation Approach -- A Review on Intelligent Optimization Techniques based Fault Detection and Diagnosis in Power System Applications -- Prediction of Surface Roughness using Desirability Concept and Support Vector Machine for Fused Deposition Modeling Part -- An Extremum Model for the Performance Analysis of a Loop Heat Pipe using Nano-fluids -- Selected Multi-Criteria Decision-Making Methods and their Applications to Product and System Design -- Cohort Intelligence Solution to Bank Asset Liability Management -- Cohort Intelligence Solution to Goal Programming Problems from Financial Management Domain -- Solving Asset and Liability Management Problem using Cohort Intelligence and Goal Programming -- Proposing a New Feature Clustering Method in order to the Binary Classification of Covid-19 in Computed Tomography Images -- Deep Learning Framework for Brain Tumor and Alzheimer Disease Prognosis using MRI Images -- Genetic Algorithm to Maximize the Tourist's Satisfaction: An Assessment of Technology Adoption for a Tourist App.
520 $a This edited book provides a platform to discuss the state-of-the-art developments associated with traditional and advanced single-/multi-objective criteria optimization methods for addressing problems of performance enhancement of the products and systems design. The book in detail discusses the core ideas, underlying principles, mathematical formulations, critical reviews and experimentations, and solutions to complex problems from within the domains such as mechanical engineering design and manufacturing, fault detection and diagnosis, control systems, financial systems, machine learning in medical image processing as well as problems from operations research domain. It will serve as a valuable reference to academicians and industry practitioners involved in improving the efficiency, cost, performance, and durability of the products and systems. The chapters in this book may further give impetus to explore new avenues leading towards multidisciplinary research discussions associated with the resilience and sustainability of the existing systems.
650 0 $a Product design. $3 530871
650 0 $a System design. $3 182170
650 0 $a Mathematical optimization. $3 183292
650 1 4 $a Computer-Aided Engineering (CAD, CAE) and Design. $3 274500
650 2 4 $a Industrial and Production Engineering. $3 273753
650 2 4 $a Engineering Design. $3 273752
700 1 $a Kulkarni, Anand Jayant. $3 714248
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Engineering optimization: methods and applications. $3 953507
856 4 0 $u https://doi.org/10.1007/978-981-99-1521-7
950 $a Computer Science (SpringerNature-11645)