000 04163nam a22004695i 4500
001 978-3-319-13826-8
003 DE-He213
005 20200421112549.0
007 cr nn 008mamaa
008 141227s2015 gw | s |||| 0|eng d
020 _a9783319138268
_9978-3-319-13826-8
024 7 _a10.1007/978-3-319-13826-8
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aRecent Advances in Swarm Intelligence and Evolutionary Computation
_h[electronic resource] /
_cedited by Xin-She Yang.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXI, 300 p. 94 illus., 15 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v585
505 0 _aSwarm Intelligence and Evolutionary Computation: Overview and Analysis -- Globally convergent hybridization of particle swarm optimization using line search-based derivative-free techniques Fireflies in the Fruits and Vegetables: Combining the Firefly Algorithm with Goal Programming for Setting Optimal Osmotic Dehydration Parameters of Produce -- Hybrid Metaheuristic Algorithms: Past, Present and Future -- Binary Flower Pollination Algorithm and Its Application to Feature Selection -- Bat Algorithm Application for the Single Row Facility Layout Problem -- Discrete Cuckoo Search Applied to Job Shop Scheduling Problem -- Cuckoo Search and Bat Algorithm Applied to Training Feed-Forward Neural Networks -- The Potential of the Firefly Algorithm for Damage Localization and Stiffness Identification -- Synthesizing Cross-Ambiguity Functions Using An Improved Bat Algorithm -- Sustainable Building Design: A Review on Recent Metaheuristic Methods -- Firefly Algorithm for Flow Shop Optimization -- Evaluation of Harmony Search and Differential Evolution Optimization Algorithms on Solving the Booster Station Optimization Problems in Water Distribution Networks -- Web Document Clustering by Using PSO-Based Cuckoo Search Clustering Algorithm -- Analysis of Trusses Using Particle Swarm Optimization.
520 _aThis timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as well as convergent hybridization. Application case studies have focused on the dehydration of fruits and vegetables by the firefly algorithm and goal programming, feature selection by the binary flower pollination algorithm, job shop scheduling, single row facility layout optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat algorithm, web document clustering, truss analysis, water distribution networks, sustainable building designs and others. As a timely review, this book can serve as an ideal reference for graduates, lecturers, engineers and researchers in computer science, evolutionary computing, artificial intelligence, machine learning, computational intelligence, data mining, engineering optimization and designs.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aYang, Xin-She.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319138251
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v585
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-13826-8
912 _aZDB-2-ENG
942 _cEBK
999 _c58762
_d58762