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Titlebook: Optimization, Simulation, and Control; Altannar Chinchuluun,Panos M. Pardalos,E. N. Pisti Book 2013 Springer Science+Business Media New Yo

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发表于 2025-3-21 19:14:11 | 显示全部楼层 |阅读模式
书目名称Optimization, Simulation, and Control
编辑Altannar Chinchuluun,Panos M. Pardalos,E. N. Pisti
视频video
概述Collection of selected contributions giving a state-of-the-art account of recent developments in the field.Covers a broad range of topics in optimization and optimal control, including unique applicat
丛书名称Springer Optimization and Its Applications
图书封面Titlebook: Optimization, Simulation, and Control;  Altannar Chinchuluun,Panos M. Pardalos,E. N. Pisti Book 2013 Springer Science+Business Media New Yo
描述.Optimization, simulation and control play an increasingly important role in science and industry. Because of their numerous applications in various disciplines, research in these areas is accelerating at a rapid pace..This volume brings together the latest developments in these areas of research as well as presents applications of these results to a wide range of real-world problems. The book is composed of invited contributions by experts from around the world who work to develop and apply new optimization, simulation and control techniques either at a theoretical level or in practice. Some key topics presented include: equilibrium problems, multi-objective optimization, variational inequalities, stochastic processes, numerical analysis, optimization in signal processing, and various other interdisciplinary applications..This volume can serve as a useful resource for researchers, practitioners, and advanced graduate students of mathematics and engineering working in research areas where results in optimization, simulation and control can be applied..
出版日期Book 2013
关键词Applied Optimization; Control Theory; Mathematical Modeling and Simulation; Nonlinear Optimization; Nume
版次1
doihttps://doi.org/10.1007/978-1-4614-5131-0
isbn_softcover978-1-4899-8781-5
isbn_ebook978-1-4614-5131-0Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightSpringer Science+Business Media New York 2013
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Pietro Belotti,Sonia Cafieri,Jon Lee,Leo Liberti,Andrew J. Miller adaptive genetic algorithm using the formalism of mutation matrix, where the need for setting a survival probability is removed. The temporal resource allocation is introduced and implemented in a single computer using the quasi-parallel time sharing algorithm for the solution of the zero/one knaps
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Ider Tseveendorjs signals, which could not be time-resolved [2, 7, 13]. For example, Thompson et al. [5] estimated a “zipping time” for a 21-residue α-helix of 300 ps (i.e., the time for closing of subsequent hydrogen bonds, once an initial helix turn is formed), while Huang et al. [7] indirectly concluded that hel
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