Nature-Inspired Computing and Optimization

Theory and Applications

Srikanta Patnaik, Xin-She Yang, Kazumi Nakamatsu (Herausgeber)

Buch | Softcover

XXI, 494 Seiten

2018 | Softcover reprint of the original 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-84522-7 (ISBN)

Artikel merken

The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.

From the content: The Nature of Nature: Why Nature Inspired Algorithms Work.- Improved Bat Algorithm in Noise-Free and Noisy Environments.- Multi-objective Ant Colony Optimisation in Wireless Sensor Networks.le

Erscheinungsdatum	29.07.2018
Reihe/Serie	Modeling and Optimization in Science and Technologies
Zusatzinfo	XXI, 494 p. 191 illus., 43 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	783 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik
Schlagworte	ant colony optimisation • Antenna Array Design • Bat Algorithm • bio-inspired computing • Classifier System • Cuckoo Search • Economic Dispatch • Engineering Economics • Flower Pollination Algorithm • Genetic Algorithm • image enhancement • Multi-agent Systems • Multi-Objective Optimization • Nature-Inspired Algorithm • Particle swarm optimization • Permutation problems • Resource Planning • Swarm-Based Heuristics • Swarm intelligence • wireless sensor network
ISBN-10	3-319-84522-5 / 3319845225
ISBN-13	978-3-319-84522-7 / 9783319845227
Zustand	Neuware