Best Reference Books – Engineering Optimization Using Soft Computing

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We have compiled the list of Top 10 Best Reference Books on Engineering Optimization Using Soft Computing subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Engineering Optimization Using Soft Computing along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Engineering Optimization Using Soft Computing subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Engineering Optimization Using Soft Computing" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Ordinal Optimization: Soft Optimization for Hard Problems” by Yu-Chi Ho and Qian-Chuan Zhao

“Ordinal Optimization: Soft Optimization for Hard Problems” Book Review: This book explains the difficulties of the optimization of complex systems using simulation models. This book starts with the introduction of optimization. This book covers ordinal optimization fundamentals, comparison of selection rules, vector ordinal optimization, constrained ordinal optimization and memory limited strategy optimization. It also deals with additional extensions of the OO methodology, real world application examples. This book provides a conclusion at the end of each chapter.

2. “Applied Intelligent Systems: New Directions (Studies in Fuzziness and Soft Computing)” by John Fulcher
3. “Soft Computing: New Trends and Applications (Advanced Textbooks in Control and Signal Processing)” by L Fortuna and G Rizzotto

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“Soft Computing: New Trends and Applications ( Advanced Textbooks in Control and Signal Processing)” Book Review: This book explains about cellular neural networks and applications of soft computing to complex systems. This book covers fuzzy logic, fundamental operators, fuzzy algorithms, fuzzy control, multilayer perceptron, radial basis function and evolution type optimization algorithms. This book also deals with complex dynamic systems and neuro-fuzzy networks.

4. “International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI´08) (Advances in Intelligent and Soft Computing)” by Juan Manuel Corchado Rodríguez and Sara Rodriguez
5. “Soft Computing for Control of Non-Linear Dynamical Systems (Studies in Fuzziness and Soft Computing)” by Oscar Castillo and Patricia Melin

“Soft Computing for Control of Non-Linear Dynamical Systems (Studies in Fuzziness and Computing)” Book Review: This provides information about modelling, simulation and control of nonlinear dynamical systems. This book is divided into two parts namely soft computing and fractal theory. Soft computing part of the book covers fuzzy logic, neural networks and genetic algorithms. Fractal theory discusses the mathematical tools to understand the geometrical complexity of natural objects.

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6. “Fuzzy Information and Engineering 2010: Vol 1 (Advances in Intelligent and Soft Computing)” by Bing-Yuan Cao and Guojun Wang

“Fuzzy Information and Engineering 2010:Vol 1(Advances in Intelligent and Soft Computing)” Book Review: This book is about the proceedings of the fifth annual conference on fuzzy information and engineering. This book is divided into five sections. This book has a total of 89 papers. First section contains 15 papers related to the mathematical theory of fuzzy systems. The second section of the book has 15 papers on fuzzy logic, systems and control. The third section has 24 papers on fuzzy optimization and decision making. Fourth section has 17 papers related to fuzzy information, identification and clustering. Fifth section has 18 papers related to fuzzy engineering application and soft computing methods.

7. “Modeling of Metal Forming and Machining Processes: by Finite Element and Soft Computing Methods (Engineering Materials and Processes)” by Prakash Mahadeo Dixit and Uday Shanker Dixit
8. “Fifty Years of Fuzzy Logic and its Applications (Studies in Fuzziness and Soft Computing)” by Dan E Tamir and Naphtali D Rishe

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“Fifty Years of Fuzzy Logic and its Applications (Studies in Fuzziness and Soft Computing)” Book Review: This book explains how fuzzy sets have been successfully applied to artificial intelligence, control theory, inference and reasoning. This book covers fuzzy logic, clustering, data mining and software testing.

9. “Computational Intelligence for Big Data Analysis (Adaptation, Learning, and Optimization)” by D P Acharjya and Satchidananda Dehuri

“Computational Intelligence for Big Data Analysis (Adaption, Learning and Optimization)” Book Review: This book is divided into three parts. First part deals with the theoretical foundation of big data analysis. Second part of the book covers architecture for big data analysis. Third part of the book discusses big data analysis and cloud computing. This book provides a conclusion at the end of the chapter. This book is a combination of big data analysis, cloud computing and their applications in scientific computing.

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10. “Computer-based Modelling and Optimization in Transportation (Advances in Intelligent Systems and Computing)” by Jorge Freire Sousa and Riccardo Rossi

“Computer-based Modelling and Optimization in Transportation (Advances in Intelligent Systems and Computing)” Book Review: This book explains about decision-making and decision support, energy and environmental impacts, urban network design, optimization and simulation, traffic modelling, control and network traffic management and transportation planning.This is a collection of works from the research carried out by members of EURO working group on transportation. This book also deals with mobility, accessibility, travel behavior and vehicle routing.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Engineering Optimization Using Soft Computing – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Engineering Optimization Using Soft Computing" so that one can readily see the list of top books on "Engineering Optimization Using Soft Computing" and buy the books either online or offline.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter