The present book is based on the research papers presented in the International Conference on Soft Computing for Problem Solving (SocProS 2011), held at Roorkee, India. This book is divided into two volumes and covers a variety of topics, including mathematical modeling, image processing, optimization, swarm intelligence, evolutionary algorithms, fuzzy logic, neural networks, forecasting, data mining etc. Particular emphasis is laid on Soft Computing and its application to diverse fields. The prime objective of the book is to familiarize the reader with the latest scientific developments that…mehr
The present book is based on the research papers presented in the International Conference on Soft Computing for Problem Solving (SocProS 2011), held at Roorkee, India. This book is divided into two volumes and covers a variety of topics, including mathematical modeling, image processing, optimization, swarm intelligence, evolutionary algorithms, fuzzy logic, neural networks, forecasting, data mining etc. Particular emphasis is laid on Soft Computing and its application to diverse fields. The prime objective of the book is to familiarize the reader with the latest scientific developments that are taking place in various fields and the latest sophisticated problem solving tools that are being developed to deal with the complex and intricate problems that are otherwise difficult to solve by the usual and traditional methods. The book is directed to the researchers and scientists engaged in various fields of Science and Technology.
Artikelnr. des Verlages: 86019844, 978-81-322-0486-2
2012
Seitenzahl: 1092
Erscheinungstermin: 16. April 2012
Englisch
Abmessung: 235mm x 155mm x 58mm
Gewicht: 1615g
ISBN-13: 9788132204862
ISBN-10: 8132204867
Artikelnr.: 34538635
Herstellerkennzeichnung
Die Herstellerinformationen sind derzeit nicht verfügbar.
Autorenporträt
Dr. Kusum Deep, is an Associate Professor, with the Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India. Over the last 25 years, her research is increasingly well-cited making her a central International figure in the area of Nature Inspired Optimization Techniques, Genetic Algorithms and Particle Swarm Optimization. Prof. Atulya Nagar holds the Foundation Chair of Computer and Mathematical Sciences and Heads the Department of Computer Science, at Liverpool Hope University, Liverpool, UK. Prof. Nagar is an internationally recognised scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering and his work is underpinned by strong complexity-theoretic foundations Dr. Millie Pant, is an Assistant Professor with the Department of Paper Technology, Indian Institute of Technology, Roorkee, India. At this age, she has earned a remarkable International reputation in the area of Genetic Algorithms, Differential Algorithms and Swarm Intelligence. Dr. Jagdish Chand Bansal, is an Assistant Professor with the ABV-Indian Institute of Information Technology and Management, Gwalior, India. Holding an excellent academic record, he is a budding researcher in the field of Swarm Intelligence at the International Level.
Inhaltsangabe
From the Contents: Evolutionary Technique Based Compensator for Z - shaped Pantograph System.- Study on ductility of Ti Aluminides using Mamdani Fuzzy Inference System.- A New Disc Based Particle Swarm Optimization.- Application of Globally Adaptive Inertia Weight PSO to Lennard-Jones problem.- Serial DPGA vs Parallel Multithreaded DPGA:Threading Aspects.- Dynamic Call Transfer Through Wi-Fi Networks using Asterisk.- Differential Evolution Strategies for Multiobjective Optimization.- Dynamic Scaling Factor based Differential Evolution Algorithm.- Performance Improvement in Vector Control of Induction Motor Drive using Fuzzy Logic Controller.- A Fuzzy Particle Swarm optimization for solving the Economic Dispatch problem.
From the Contents: Evolutionary Technique Based Compensator for Z - shaped Pantograph System.- Study on ductility of Ti Aluminides using Mamdani Fuzzy Inference System.- A New Disc Based Particle Swarm Optimization.- Application of Globally Adaptive Inertia Weight PSO to Lennard-Jones problem.- Serial DPGA vs Parallel Multithreaded DPGA:Threading Aspects.- Dynamic Call Transfer Through Wi-Fi Networks using Asterisk.- Differential Evolution Strategies for Multiobjective Optimization.- Dynamic Scaling Factor based Differential Evolution Algorithm.- Performance Improvement in Vector Control of Induction Motor Drive using Fuzzy Logic Controller.- A Fuzzy Particle Swarm optimization for solving the Economic Dispatch problem.
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