Applications And Extensions Of The Imprecise Computation Model
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Approximation Algorithms for Combinatorial Optimization
This book constitutes the refereed proceedings of the Third International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2000, held in Saarbrcken, Germany in September 2000. The 22 revised full papers presented together with four invited contributions were carefully reviewed and selected from 68 submissions. The topics dealt with include design and analysis of approximation algorithms, inapproximibility results, on-line problems, randomization techniques, average-case analysis, approximation classes, scheduling problems, routing and flow problems, coloring and partitioning, cuts and connectivity, packing and covering, geometric problems, network design, and various applications.
Applications and Extensions of the Imprecise-computation Model
Abstract: "Real-time systems have become increasingly important in a growing number of application domains such as telecommunication networks and multimedia. The tasks in such a real-time system must produce logically correct results by their deadlines. The correctness of such a system depends not only on the logical correctness of the results but also on the tasks completing by their deadlines. Many of today's real- time systems are built based on an estimate of the worst-case load level. When the load level of a real-time system temporarily exceeds its assumed worst-case load level, a transient overload occurs; some deadlines may be missed; and the performance of the system degrades. Under such an overload, the system must maintain an acceptable level of performance. The imprecise-computation technique is a way to deal with transient overloads. The technique is motivated by the fact that one can often trade off precision for timeliness. It prevents missed deadlines and provides graceful degradation during a transient overload. We illustrate its applicability by implementing an ATM congestion-control scheme. We also propose scheduling algorithms to handle real-time applications which contain tasks whose result quality is a function of both time and input quality."
Handbook of Research on Computational Intelligence Applications in Bioinformatics
Developments in the areas of biology and bioinformatics are continuously evolving and creating a plethora of data that needs to be analyzed and decrypted. Since it can be difficult to decipher the multitudes of data within these areas, new computational techniques and tools are being employed to assist researchers in their findings. The Handbook of Research on Computational Intelligence Applications in Bioinformatics examines emergent research in handling real-world problems through the application of various computation technologies and techniques. Featuring theoretical concepts and best practices in the areas of computational intelligence, artificial intelligence, big data, and bio-inspired computing, this publication is a critical reference source for graduate students, professionals, academics, and researchers.