Soft Computing Based Optimization and Decision Models is popular PDF and ePub book, written by David A. Pelta in 2017-08-03, 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, Soft Computing Based Optimization and Decision Models can be Read Online from any device for your convenience.
Soft Computing Based Optimization and Decision Models Book PDF Summary
This book offers a timely snapshot of current soft-computing research and solutions to decision-making and optimization problems, which are ubiquitous in the current social and technological context, addressing fields including logistics, transportation and data analysis. Written by leading international experts from the United States, Brazil and Cuba, as well as the United Kingdom, France, Finland and Spain, it discusses theoretical developments in and practical applications of soft computing in fields where these methods are crucial to obtaining better models, including: intelligent transportation systems, maritime logistics, portfolio selection, decision- making, fuzzy cognitive maps, and fault detection. The book is dedicated to Professor José L. Verdegay, a pioneer who has been actively pursuing research in fuzzy sets theory and soft computing since 1982, in honor of his 65th birthday.
Detail Book of Soft Computing Based Optimization and Decision Models PDF
- Author : David A. Pelta
- Release : 03 August 2017
- Publisher : Springer
- ISBN : 9783319642864
- Genre : Technology & Engineering
- Total Page : 314 pages
- Language : English
- PDF File Size : 7,7 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Soft Computing Based Optimization and Decision Models by David A. Pelta, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.