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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.
List of contents
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.
Summary
This timely review book summarizes the
state-of-the-art developments in nature-inspired optimization algorithms and
their applications in engineering. Algorithms and topics include the overview
and history of nature-inspired algorithms, discrete firefly algorithm, discrete
cuckoo 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 of
wireless sensor networks, cell formation, economic load dispatch, metamodeling,
surrogated-assisted cooperative co-evolution, data fitting and reverse
engineering as well as other case studies in engineering. This book will be an
ideal reference for researchers, lecturers, graduates and engineers who are
interested in nature-inspired computation, artificial intelligence and
computational intelligence. It can also serveas a reference for relevant
courses in computer science, artificial intelligence and machine learning, natural
computation, engineering optimization and data mining.
