Background
Cheng, Runwei was born on November 24, 1957 in Anshan, Liaoning, People's Republic of China. Son of Qiang and Shuwen (Lu) Cheng.
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book
Network Models and Optimization: Multiobjective Genetic Algorithm Approach (Decision Engineering)
( Network models are critical tools in business, manageme...)
Network models are critical tools in business, management, science and industry. “Network Models and Optimization” presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing. The book extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, traveling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems. The book can be used both as a student textbook and as a professional reference for practitioners who use network optimization methods to model and solve problems.
http://www.amazon.com/gp/product/1848001800/?tag=2022091-20
Genetic Algorithms and Engineering Design (Engineering Design and Automation)
(The last few years have seen important advances in the us...)
The last few years have seen important advances in the use of genetic algorithms to address challenging optimization problems in industrial engineering. Genetic Algorithms and Engineering Design is the only book to cover the most recent technologies and their application to manufacturing, presenting a comprehensive and fully up-to-date treatment of genetic algorithms in industrial engineering and operations research. Beginning with a tutorial on genetic algorithm fundamentals and their use in solving constrained and combinatorial optimization problems, the book applies these techniques to problems in specific areas--sequencing, scheduling and production plans, transportation and vehicle routing, facility layout, location-allocation, and more. Each topic features a clearly written problem description, mathematical model, and summary of conventional heuristic algorithms. All algorithms are explained in intuitive, rather than highly-technical, language and are reinforced with illustrative figures and numerical examples. Written by two internationally acknowledged experts in the field, Genetic Algorithms and Engineering Design features original material on the foundation and application of genetic algorithms, and also standardizes the terms and symbols used in other sources--making this complex subject truly accessible to the beginner as well as to the more advanced reader. Ideal for both self-study and classroom use, this self-contained reference provides indispensable state-of-the-art guidance to professionals and students working in industrial engineering, management science, operations research, computer science, and artificial intelligence. The only comprehensive, state-of-the-art treatment available on the use of genetic algorithms in industrial engineering and operations research ...Written by internationally recognized experts in the field of genetic algorithms and artificial intelligence, Genetic Algorithms and Engineering Design provides total coverage of current technologies and their application to manufacturing systems. Incorporating original material on the foundation and application of genetic algorithms, this unique resource also standardizes the terms and symbols used in other sources--making this complex subject truly accessible to students as well as experienced professionals. Designed for clarity and ease of use, this self-contained reference: Provides a comprehensive survey of selection strategies, penalty techniques, and genetic operators used for constrained and combinatorial optimization problems Shows how to use genetic algorithms to make production schedules, solve facility/location problems, make transportation/vehicle routing plans, enhance system reliability, and much more Contains detailed numerical examples, plus more than 160 auxiliary figures to make solution procedures transparent and understandable
http://www.amazon.com/gp/product/0471127418/?tag=2022091-20
Genetic Algorithms and Engineering Optimization (Engineering Design and Automation)
(A comprehensive guide to a powerful new analytical tool b...)
A comprehensive guide to a powerful new analytical tool by two of its foremost innovators The past decade has witnessed many exciting advances in the use of genetic algorithms (GAs) to solve optimization problems in everything from product design to scheduling and client/server networking. Aided by GAs, analysts and designers now routinely evolve solutions to complex combinatorial and multiobjective optimization problems with an ease and rapidity unthinkable withconventional methods. Despite the continued growth and refinement of this powerful analytical tool, there continues to be a lack of up-to-date guides to contemporary GA optimization principles and practices. Written by two of the world's leading experts in the field, this book fills that gap in the literature. Taking an intuitive approach, Mitsuo Gen and Runwei Cheng employ numerous illustrations and real-world examples to help readers gain a thorough understanding of basic GA concepts-including encoding, adaptation, and genetic optimizations-and to show how GAs can be used to solve an array of constrained, combinatorial, multiobjective, and fuzzy optimization problems. Focusing on problems commonly encountered in industry-especially in manufacturing-Professors Gen and Cheng provide in-depth coverage of advanced GA techniques for: * Reliability design * Manufacturing cell design * Scheduling * Advanced transportation problems * Network design and routing Genetic Algorithms and Engineering Optimization is an indispensable working resource for industrial engineers and designers, as well as systems analysts, operations researchers, and management scientists working in manufacturing and related industries. It also makes an excellent primary or supplementary text for advanced courses in industrial engineering, management science, operations research, computer science, and artificial intelligence.
http://www.amazon.com/gp/product/B00193H5E6/?tag=2022091-20
Genetic Algorithms and Engineering Optimization
(A comprehensive guide to a powerful new analytical tool b...)
A comprehensive guide to a powerful new analytical tool by two of its foremost innovators The past decade has witnessed many exciting advances in the use of genetic algorithms (GAs) to solve optimization problems in everything from product design to scheduling and client/server networking. Aided by GAs, analysts and designers now routinely evolve solutions to complex combinatorial and multiobjective optimization problems with an ease and rapidity unthinkable withconventional methods. Despite the continued growth and refinement of this powerful analytical tool, there continues to be a lack of up-to-date guides to contemporary GA optimization principles and practices. Written by two of the world's leading experts in the field, this book fills that gap in the literature. Taking an intuitive approach, Mitsuo Gen and Runwei Cheng employ numerous illustrations and real-world examples to help readers gain a thorough understanding of basic GA concepts-including encoding, adaptation, and genetic optimizations-and to show how GAs can be used to solve an array of constrained, combinatorial, multiobjective, and fuzzy optimization problems. Focusing on problems commonly encountered in industry-especially in manufacturing-Professors Gen and Cheng provide in-depth coverage of advanced GA techniques for: Reliability design Manufacturing cell design Scheduling Advanced transportation problems Network design and routing Genetic Algorithms and Engineering Optimization is an indispensable working resource for industrial engineers and designers, as well as systems analysts, operations researchers, and management scientists working in manufacturing and related industries. It also makes an excellent primary or supplementary text for advanced courses in industrial engineering, management science, operations research, computer science, and artificial intelligence.
http://www.amazon.com/gp/product/0471315311/?tag=2022091-20
Runwei Cheng
Edit Profile
Runwei Cheng, Chinese software engineering educator. Recipient Outstanding Contributor award China Metallurgy Society, 1992, award Japan Information Culture Association, 1998. Government monitor Ashikaga City Government, 1994. Member System Engineering Society of Liaoning Province, China (vice secretary-general), Japan Society for Fuzzy Theory and Systems, Japan Industrial Management Association.
Education
Bachelor of Science, Northeastern University, 1982. Master of Science, Northeastern University, 1984. Doctor of Philosophy, Tokyo Institute of Technology, 1997.
Career
Assistant Northeastern University, China, 1985-1987, assistant professor China, 1988-1991, associate professor China, 1992-1993. Co-founder, executive director Dragon Network Corporation, Japan, since 1997. Visiting professor Ashikaga Institute of Technology, Japan, since 1993.
Session chairman various conferences.
Achievements
Works
book
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Genetic Algorithms and Engineering Optimization (Engineering Design and Automation)
(A comprehensive guide to a powerful new analytical tool b...)
-
Genetic Algorithms and Engineering Optimization
(A comprehensive guide to a powerful new analytical tool b...)
-
Genetic Algorithms and Engineering Design (Engineering Design and Automation)
(The last few years have seen important advances in the us...)
-
Network Models and Optimization: Multiobjective Genetic Algorithm Approach (Decision Engineering)
( Network models are critical tools in business, manageme...)
-
Genetic Algorithms and Engineering Optimization (Engineering Design and Automation)
Membership
Government monitor Ashikaga City Government, 1994. Member System Engineering Society of Liaoning Province, China (vice secretary-general), Japan Society for Fuzzy Theory and Systems, Japan Industrial Management Association.
Interests
Connections
Married Liying Zhang. 1 child, Zhi.
