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Probability-Based Multi-objective Optimization for Material Selection

2022-08-12 Technology & Engineering
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Release : 2022-08-12
Genre : Technology & Engineering
Kind : eBook
Book Rating : 510/5 ( reviews)

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Book Synopsis Probability-Based Multi-objective Optimization for Material Selection by : Maosheng Zheng

Download or read book Probability-Based Multi-objective Optimization for Material Selection written by Maosheng Zheng. This book was released on 2022-08-12. Available in PDF, EPUB and Kindle. Book excerpt: This book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection systematically, in which a brand new concept of preferable probability and its assessment as well as other treatments are introduced by authors for the first time. Hybrids of the new approach with experimental design methodologies, such as response surface methodology, orthogonal experimental design, and uniform experimental design, are all performed; the conditions of the material performance utility with desirable value and robust assessment are included; the discretization treatment of complicated integral in the evaluation is presented. The authors wish this work will cast a brick to attract jade and would make its contributions to relevant fields as a paving stone. This book can be used as a textbook for postgraduate and advanced undergraduate students in material relevant majors, and a reference book for scientists and engineers digging in the related fields.

Probability-Based Multi-objective Optimization for Material Selection

2023-08-24 Technology & Engineering
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Release : 2023-08-24
Genre : Technology & Engineering
Kind : eBook
Book Rating : 399/5 ( reviews)

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Book Synopsis Probability-Based Multi-objective Optimization for Material Selection by : Maosheng Zheng

Download or read book Probability-Based Multi-objective Optimization for Material Selection written by Maosheng Zheng. This book was released on 2023-08-24. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection in viewpoint of system theory, in which a brand new concept of preferable probability and its assessment as well as other treatments are introduced by authors for the first time. Hybrids of the new approach with experimental design methodologies (response surface methodology, orthogonal experimental design, and uniform experimental design) are all performed; robustness assessment and performance utility with desirable value are included; discretization treatment in the evaluation is presented; fuzzy-based approach and cluster analysis are involved; applications in portfolio investment and shortest path problem are concerned as well. The authors wish this work will cast a brick to attract jade and would make its contributions to relevant fields as a paving stone. It is designed to be used as a textbook for postgraduate and advanced undergraduate students in relevant majors, while also serving as a valuable reference book for scientists and engineers involved in related fields.

Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-objective Optimization

2024 Engineering design
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Release : 2024
Genre : Engineering design
Kind : eBook
Book Rating : 611/5 ( reviews)

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Book Synopsis Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-objective Optimization by : Maosheng Zheng

Download or read book Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-objective Optimization written by Maosheng Zheng. This book was released on 2024. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: This book develops robust design and assessment of product and production from viewpoint of system theory, which is quantized with the introduction of brand new concept of preferable probability and its assessment. It aims to provide a new idea and novel way to robust design and assessment of product and production and relevant problems. Robust design and assessment of product and production is attractive to both customer and producer since the stability and insensitivity of a product's quality to uncontrollable factors reflect its value. Taguchi method has been used to conduct robust design and assessment of product and production for half a century, but its rationality is criticized by statisticians due to its casting of both mean value of a response and its dispersion into one index, which doesn't characterize the issue of simultaneous robust design of above two independent responses sufficiently, so an appropriate approach is needed. The preference or role of a response in the evaluation is indicated by using preferable probability as the unique index. Thus, the rational approach for robust design and assessment of product and production is formulated by means of probabilistic multi-objective optimization, which reveals the simultaneous robust designs of both mean value of a response and its dispersion in manner of joint probability. Besides, defuzzification and fuzzification measurements are involved as preliminary approaches for robust assessment, the latter provides miraculous treatment for the 'target the best' case flexibly

Parallel Problem Solving from Nature-PPSN VI

2000-09-06 Computers
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Release : 2000-09-06
Genre : Computers
Kind : eBook
Book Rating : 562/5 ( reviews)

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Book Synopsis Parallel Problem Solving from Nature-PPSN VI by : Marc Schoenauer

Download or read book Parallel Problem Solving from Nature-PPSN VI written by Marc Schoenauer. This book was released on 2000-09-06. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Parallel Problem Solving from Nature, PPSN VI, held in Paris, France in September 2000. The 87 revised full papers presented together with two invited papers were carefully reviewed and selected from 168 submissions. The presentations are organized in topical sections on analysis and theory of evolutionary algorithms, genetic programming, scheduling, representations and operators, co-evolution, constraint handling techniques, noisy and non-stationary environments, combinatorial optimization, applications, machine learning and classifier systems, new algorithms and metaphors, and multiobjective optimization.

Multi-Objective Optimization using Artificial Intelligence Techniques

2019-07-24 Technology & Engineering
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Release : 2019-07-24
Genre : Technology & Engineering
Kind : eBook
Book Rating : 356/5 ( reviews)

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Book Synopsis Multi-Objective Optimization using Artificial Intelligence Techniques by : Seyedali Mirjalili

Download or read book Multi-Objective Optimization using Artificial Intelligence Techniques written by Seyedali Mirjalili. This book was released on 2019-07-24. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.

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