Nature-Inspired Computation in Engineering
Springer International Publishing (Verlag)
9783319302331 (ISBN)
This timely review book summarizes thestate-of-the-art developments in nature-inspired optimization algorithms andtheir applications in engineering. Algorithms and topics include the overviewand history of nature-inspired algorithms, discrete firefly algorithm, discretecuckoo search, plant propagation algorithm, parameter-free bat algorithm,gravitational search, biogeography-based algorithm, differential evolution,particle swarm optimization and others. Applications include vehicle routing,swarming robots, discrete and combinatorial optimization, clustering ofwireless sensor networks, cell formation, economic load dispatch, metamodeling,surrogated-assisted cooperative co-evolution, data fitting and reverseengineering as well as other case studies in engineering. This book will be anideal reference for researchers, lecturers, graduates and engineers who areinterested in nature-inspired computation, artificial intelligence andcomputational intelligence. It can also serveas a reference for relevantcourses in computer science, artificial intelligence and machine learning, naturalcomputation, engineering optimization and data mining.
Flower Pollination Algorithm and its Applications in Engineering.- An Evolutionary Discrete Firefly Algorithm withNovel Operators for Solving the Vehicle Routing Problem with TimeWindows.- The Plant Propagation Algorithm for Discrete Optimisation: The Case of the Travelling Salesman Problem.- Enhancing Cooperative Coevolution with Surrogate-Assisted Local Search.- Cuckoo Search: From Cuckoo Reproduction Strategy to CombinatorialOptimization.- Clustering Optimization for WSN based on Nature-Inspired Algorithms.- Discrete Firefly Algorithm for Recruiting Task in a Swarm of Robots.- Nature-Inspired Swarm Intelligence for Data Fitting in Reverse Engineering: Recent Advances and FutureTrends.- A Novel Fast Optimisation Algorithm Using Differential Evolution Algorithm Optimisation and Meta-
Modelling Approach.- A Hybridization of Runner-Based and Seed-Based Plant PropagationAlgorithm.- Gravitational Search Algorithm Applied to Cell Formation Problem.- Parameterless Bat Algorithm and its Performace Study.
| Erscheinungsdatum | 08.10.2016 |
|---|---|
| Reihe/Serie | Studies in Computational Intelligence |
| Zusatzinfo | X, 276 p. 54 illus., 34 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik | |
| Schlagworte | artificial intelligence (incl. robotics) • Bat Algorithm • bio-inspired computation • Computational Intelligence • Engineering • Nature-inspired Computation • Swarm intelligence |
| ISBN-13 | 9783319302331 / 9783319302331 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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