Multi objective Evolutionary Optimisation for Product Design and Manufacturing is popular PDF and ePub book, written by Lihui Wang in 2011-09-06, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Multi objective Evolutionary Optimisation for Product Design and Manufacturing can be Read Online from any device for your convenience.
Multi objective Evolutionary Optimisation for Product Design and Manufacturing Book PDF Summary
With the increasing complexity and dynamism in today’s product design and manufacturing, more optimal, robust and practical approaches and systems are needed to support product design and manufacturing activities. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing presents a focused collection of quality chapters on state-of-the-art research efforts in multi-objective evolutionary optimisation, as well as their practical applications to integrated product design and manufacturing. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing consists of two major sections. The first presents a broad-based review of the key areas of research in multi-objective evolutionary optimisation. The second gives in-depth treatments of selected methodologies and systems in intelligent design and integrated manufacturing. Recent developments and innovations in multi-objective evolutionary optimisation make Multi-objective Evolutionary Optimisation for Product Design and Manufacturing a useful text for a broad readership, from academic researchers to practicing engineers.
Detail Book of Multi objective Evolutionary Optimisation for Product Design and Manufacturing PDF
- Author : Lihui Wang
- Release : 06 September 2011
- Publisher : Springer Science & Business Media
- ISBN : 9780857296528
- Genre : Technology & Engineering
- Total Page : 502 pages
- Language : English
- PDF File Size : 13,7 Mb
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