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.
This book explores a variety of applications for search methods and
techniques in different fields of electrical engineering. By organizing
relevant results and applications, this 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.
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- Chapter 1 Search Algorithm for Image Recognition Based on Learning Algorithm for Multivariate Data Analysis
- Chapter 2 Ant Algorithms for Adaptive Edge Detection
- Chapter 3 Content-Based Image Feature Description and Retrieving
- Chapter 4 Multidimensional Optimization-Based Heuristics Applied to Wireless Communication Systems
- Chapter 5 Ant Colony Optimization for Resource Allocation and Anomaly Detection in Communication Networks
- Chapter 6 Optical Network Optimization Based on Particle Swarm Intelligence
- Chapter 7 An Adaptive Neuro-Fuzzy Strategy for a Wireless Coded Power Control in Doubly-Fed Induction Aerogenerators
- Chapter 8 Application of Harmony Search Algorithm in Power Engineering
- Chapter 9 Heuristic Search Applied to Fuzzy Cognitive Maps Learning
- Chapter 10 Optimal Allocation of Reliability in Series Parallel Production System
- Chapter 11 Geometry and Dynamics of a Quantum Search Algorithm for an Ordered Tuple of Multi-Qubits
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