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Multi-objective optimization techniques in engineering applicationsadvanced methods for solving complex engineering problems /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multi-objective optimization techniques in engineering applicationsby Lagouge K. Tartibu.
其他題名:	advanced methods for solving complex engineering problems /
作者:	Tartibu, Lagouge K.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xvii, 539 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Engineering mathematics.
電子資源:	https://doi.org/10.1007/978-3-031-81237-8
ISBN:	9783031812378$q(electronic bk.)

Multi-objective optimization techniques in engineering applicationsadvanced methods for solving complex engineering problems /
Tartibu, Lagouge K.

Multi-objective optimization techniques in engineering applicationsadvanced methods for solving complex engineering problems /[electronic resource] :by Lagouge K. Tartibu. - Cham :Springer Nature Switzerland :2025. - xvii, 539 p. :ill. (chiefly color), digital ;24 cm. - Studies in computational intelligence,v. 11841860-9503 ;. - Studies in computational intelligence ;v. 216..

1.Engineering optimization -- 2.Enhancing Machining Performance through Multi-Objective Harris Hawk Optimization -- 3.Enhancing natural convection in an isosceles triangular shaped chamber through Multi-Objective Whale Optimization Algorithm -- 4.Multi-objective design optimization of parabolic trough collectors using a Grey Wolf Optimization -- 5.Multi-objective optimization of a Honeycomb heat sink using Sunflower Optimization algorithm -- 6.Multi-objective optimization of a small sized solar PV-T water collector using an Imperialistic Competitive Algorithm -- 7.Multi-objective optimization of multi-channel cold plate under intermittent pulsating flow using Jaya Algorithm -- 8.Multi-objective optimization of a rectangular microchannel heat sink using Thermal Exchange Optimization Algorithm -- 9.Multi-objective optimization of a solar-driven generation plant using Grasshopper Optimization Algorithm -- 10.Multi-objective optimization of Cutting Parameters and Tool Geometry using Cuckoo Search Algorithm -- 11.Future Trends and Challenges in Engineering Optimization.

This essential book bridges theory and practice, exploring advanced multi-objective optimization methods applied across engineering fields like manufacturing, renewable energy, and thermal management. This book presents a comprehensive, hands-on guide for engineers, researchers, and students seeking to harness the power of optimization in diverse, real-world scenarios. Through expertly crafted chapters, this book illuminates the strengths of state-of-the-art metaheuristic algorithms-such as the Harris hawk optimization, whale optimization, gray wolf optimization, sunflower optimization, imperialistic competitive optimization, jaya optimization, thermal exchange optimization, grasshopper optimization, and cuckoo search optimization. These algorithms tackle complex, high-dimensional challenges, giving readers invaluable tools to boost performance and efficiency. Case studies breathe life into these methods, showcasing their adaptability in systems with multiple conflicting objectives. Readers will find practical MATLAB and GAMS models, enabling immediate experimentation and application. In an era where efficiency and sustainability are paramount, this book equips engineers to solve today's toughest optimization problems, making it an indispensable resource for those committed to innovation. Whether focused on energy systems, structural design, or computational mechanics, this book serves as a trusted guide to achieving breakthrough solutions across multiple disciplines.

ISBN: 9783031812378$q(electronic bk.)

Standard No.: 10.1007/978-3-031-81237-8doiSubjects--Topical Terms:

182072
Engineering mathematics.

LC Class. No.: TA331

Dewey Class. No.: 620.00151

Multi-objective optimization techniques in engineering applicationsadvanced methods for solving complex engineering problems /
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520 $a This essential book bridges theory and practice, exploring advanced multi-objective optimization methods applied across engineering fields like manufacturing, renewable energy, and thermal management. This book presents a comprehensive, hands-on guide for engineers, researchers, and students seeking to harness the power of optimization in diverse, real-world scenarios. Through expertly crafted chapters, this book illuminates the strengths of state-of-the-art metaheuristic algorithms-such as the Harris hawk optimization, whale optimization, gray wolf optimization, sunflower optimization, imperialistic competitive optimization, jaya optimization, thermal exchange optimization, grasshopper optimization, and cuckoo search optimization. These algorithms tackle complex, high-dimensional challenges, giving readers invaluable tools to boost performance and efficiency. Case studies breathe life into these methods, showcasing their adaptability in systems with multiple conflicting objectives. Readers will find practical MATLAB and GAMS models, enabling immediate experimentation and application. In an era where efficiency and sustainability are paramount, this book equips engineers to solve today's toughest optimization problems, making it an indispensable resource for those committed to innovation. Whether focused on energy systems, structural design, or computational mechanics, this book serves as a trusted guide to achieving breakthrough solutions across multiple disciplines.
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