Innovative Computing, Optimization And Its Applications

In spite of these technological advances, sensor networks still face the challenges of communicating and processing large amounts of imprecise and partial data in resource-constrained environments. Advances in sensor technology and computer networks have enabled sensor networks to evolve from small systems of large sensors to large nets of miniature sensors, from wired communications to wireless communications, and from static to dynamic network topology. Further, optimal deployment of sensors in an environment is also seen as an intractable problem.

A prerequisite of high school level mathematics is sufficient to understand most of the chapters in the book.The book is unique in terms of its content, originality and lucid writing style.

This book primarily addresses Intelligent Information Systems (IIS) and the integration of artificial intelligence, intelligent systems and technologies, database technologies and information systems methodologies to create the next generation of information systems..Intended as an interdisciplinary forum in which scientists and professionals could share their research results and report on new developments and advances in intelligent information systems, technologies and related areas – as well as their applications – , it offers a valuable resource for researchers and practitioners alike.

Common intelligent computational methodologies are presented including artificial neural networks, evolutionary computation, genetic algorithms, artificial immune systems, fuzzy logic, swarm intelligence, artificial life, virtual worlds and hybrid methodologies based on combinations of the previous. The book will be useful to researchers, practitioners and graduate students dealing with mathematically-intractable problems. Intelligent Computing Systems It is intended for both the expert/researcher in the field of Intelligent Computing Systems, as well as for the general reader in the fields of Artificial and Computational Intelligence who wishes to learn more about the field of Intelligent Computing Systems and its applications.

The chapters are self-contained and can be read independently.

This book discusses computer-supported medical diagnosis with a particular focus on ovarian tumor diagnosis – since ovarian cancer is difficult to diagnose and has high mortality rates, especially in Central and Eastern Europe. Intelligent Medical Decision Support System Based on Imperfect Information.OvaExpert was created primarily to help gynecologists predict the malignancy of ovarian tumors by applying the existing diagnostic models and using modern methods of computational intelligence that accommodate imprecise and imperfect medical data, both of which are common features of everyday medical practice. It presents the theoretical foundations (both medical and mathematical) of the intelligent OvaExpert system, which supports decision-making in tumor diagnosis.

Innovative Computing, Optimization and Its Applications. The requirements and demands of problem solving have been increasing exponentially and new computer science and engineering technologies have reduced the scope of data coverage worldwide. This book presents the latest research of the field of optimization, modeling and algorithms, discussing the real-world application problems associated with new innovative methodologies.

, classification, clustering, and feature selection) with a balanced mixture of theory, algorithm, and application.

Innovative Computing, Optimization and Its Applications.The recent advances in information communication technology (ICT) have contributed to reducing the gaps in the coverage of domains around the globe. This book presents the latest research of the field of optimization, modeling and algorithms, discussing the real-world application problems associated with new innovative methodologies. The requirements and demands of problem solving have been increasing exponentially and new computer science and engineering technologies have reduced the scope of data coverage worldwide.

, classification, clustering, and feature selection) with a balanced mixture of theory, algorithm, and application.g. Granular Neural Networks, Pattern Recognition and Bioinformatics It also discusses the formation of granules in the notion of both fuzzy and rough sets.