TY  - CHAP
AU  - Taufik Abrão
AU  - Lucas Hiera Dias Sampaio
AU  - Mario Lemes Proença Jr.
AU  - Bruno Augusto Angélico
AU  - Paul Jean E. Jeszensky
ED  - Nashat Mansour
Y1  - 2011-04-26
PY  - 2011
T1  - Multiple Access Network Optimization Aspects via Swarm Search Algorithms
N2  - Search algorithms aim to find solutions or objects with specified properties and constraints in a large solution search space or among a collection of objects. A solution can be a set of value assignments to variables that will satisfy the constraints or a sub-structure of a given discrete structure. In addition, there are search algorithms, mostly probabilistic, that are designed for the prospective quantum computer.
This book demonstrates the wide applicability of search algorithms for the purpose of developing useful and practical solutions to problems that arise in a variety of problem domains. Although it is targeted to a wide group of readers: researchers, graduate students, and practitioners, it does not offer an exhaustive coverage of search algorithms and applications. The chapters are organized into three parts: Population-based and quantum search algorithms, Search algorithms for image and video processing, and Search algorithms for engineering applications.
BT  - Search Algorithms and Applications
SP  - Ch. 13
UR  - https://doi.org/10.5772/15663
DO  - 10.5772/15663
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-19
ER  -