Nature-Inspired Computation in Engineering

Herausgegeben:Yang, Xin-She

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Studies in Computational Intelligence 637
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-30233-1
• 1st ed. 2016
• Seitenzahl: 288
• Erscheinungstermin: 30. März 2016
• Englisch
• Abmessung: 241mm x 160mm x 22mm
• Gewicht: 584g
• ISBN-13: 9783319302331
• ISBN-10: 3319302337
• Artikelnr.: 44464585

Inhaltsangabe

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.