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[资源] 2013年新著——工程优化中的搜索算法(英文版)

"Search Algorithms for Engineering Optimization" ed. by Taufik Abrão
InTeOpP | 2013 | ISBN: 9535109839 9789535109839 | 292 pages | PDF | 15 MB

This book explores a variety of applications for search methods and techniques in different fields of electrical engineering. The book will serve as a useful resource for students, researchers and practitioners to further exploit the potential of search methods in solving hard optimization problems that arise in advanced engineering technologies, such as image and video processing issues, detection and resource allocation in telecommunication systems, security and harmonic reduction in power generation systems, as well as redundancy optimization problem and search-fuzzy learning mechanisms in industrial applications.

Heuristic Search is an important sub-discipline of optimization theory and finds applications in a vast variety of fields, including life science and engineering.
Search methods have been useful in solving tough engineering-oriented problems that either could not be solved any other way or solutions take a very long time to be computed.

Contents
Preface
Section 1 Image Reconstruction
1 Search Algorithm for Image Recognition Based on Learning Algorithm for Multivariate Data Analysis
2 Ant Algorithms for Adaptive Edge Detection
3 Content-Based Image Feature Description and Retrieving
Section 2 Telecommunication Applications
4 Multidimensional Optimization-Based Heuristics Applied to Wireless Communication Systems
5 Ant Colony Optimization for Resource Allocation and Anomaly Detection in Communication Networks
6 Optical Network Optimization Based on Particle Swarm Intelligence
Section 3 Power Systems and Industrial Processes Applications
7 An Adaptive Neuro-Fuzzy Strategy for a Wireless Coded Power Control in Doubly-Fed Induction Aerogenerators
8 Application of Harmony Search Algorithm in Power Engineering
9 Heuristic Search Applied to Fuzzy Cognitive Maps Learning
10 Optimal Allocation of Reliability in Series Parallel Production System
Section 4 Grover-Type Quantum Search
11 Geometry and Dynamics of a Quantum Search Algorithm for an Ordered Tuple of Multi-Qubits

InTeOpP | 2013 | ISBN: 9535109839 9789535109839 | 292 pages | PDF | 15 MB
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