Bøger af Qi Zhou

This book investigates two types of static multi-fidelity surrogates modeling approaches, sequential multi-fidelity surrogates modeling approaches, the multi-fidelity surrogates-assisted efficient global optimization, reliability analysis, robust design optimization, and evolutionary optimization. Multi-fidelity surrogates have attracted a significant amount of attention in simulation-based design and optimization in recent years. Some real-life engineering design problems, such as prediction of angular distortion in the laser welding, optimization design of micro-aerial vehicle fuselage, and optimization design of metamaterial vibration isolator, are also provided to illustrate the ability and merits of multi-fidelity surrogates in support of engineering design. Specifically, lots of illustrative examples are adopted throughout the book to help explain the approaches in a more "e;hands-on"e; manner. This book is a useful reference for postgraduates and researchers of mechanical engineering, as well as engineers of enterprises in related fields.

作者写作的内容全部是出自于自己真实的经历和身边发生的事。写作陆续在网络上发表时，得到了众多网友的喜爱。其中不乏有网友留言鼓励我出书，于是萌发了出版的想法。在此作者想借用奥地利著名作家史蒂芬-茨威格写在他发表在的"昨日世界"的那段序言来诠释自己的写作： "我从未把我个人看得如此重要，以致于非要把我自己的生平历史向傍人讲述不可。是因为，在我鼓足勇气开始写这本以自己为主角--或更确切地说，以我为中心的书之前所发生的事件，灾难和考验远远超过任何一代人所经历过的。我见证了理性遭遇到最可怕到失败，野蛮取得来最惊人到胜利。历史上从未有过象我们这一代人，道德会从如此高尚到文明堕落到如此低下的程度。从我开始长胡须，到胡须开始灰白，这样短短的时间跨度，亦即半个世纪之内，所发生的激剧变迁大大超过了以往十代人所经历的。以致我时常感到我一生所过的不是一种生活而是完全不同的好几种。当我无意中说到我生活时会情不自禁地问自己：我的哪一种生活？是第二次世界大战前，还是二次世界大战之间的，还是今天的？"本书没有任何虚拟的文学构思，全部都是接地气的真实事实。作品从作者1949年出生写到1994年移民美国前经历的四十五年。

Recent advancements in computer technology have allowed for designers to have direct control over the production process through the help of computer-based tools, creating the possibility of a completely integrated design and manufacturing process. Over the last few decades, "artificial intelligence" (AI) techniques, such as machine learing and deep learning, have been topics of interest in computer-based design and manufacturing research fields. However, efforts to develop computer-based AI to handle big data in design and manufacturing have not yet been successful. This Special Issue aims to collect novel articles covering artificial intelligence-based design, manufacturing, and data-driven design. It will comprise academics, researchers, mechanical, manufacturing, production and industrial engineers and professionals related to engineering design and manufacturing.