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020 _a9783319282701
_9978-3-319-28270-1
024 7 _a10.1007/978-3-319-28270-1
_2doi
050 4 _aQ334-342
072 7 _aUYQ
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072 7 _aCOM004000
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245 1 0 _aArtificial Life and Computational Intelligence
_h[electronic resource] :
_bSecond Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016, Proceedings /
_cedited by Tapabrata Ray, Ruhul Sarker, Xiaodong Li.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXIII, 375 p. 115 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aLecture Notes in Artificial Intelligence ;
_v9592
_aLecture Notes in Computer Science
_v9592
505 0 _aMathematical Modeling and Theory -- Fractal Dimension - A Spatial and Visual Design Technique for the Creation of Lifelike Artificial Forms -- Using Closed Sets to Model Cognitive Behavior -- Learning and Optimization -- Solving dynamic optimisation problem with known changeable boundaries -- Compaction for Code Fragment Based Learning Classifier Systems -- The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking -- A Study on Performance Metrics to Identify Solutions of Interest From a Trade-off Set -- Dynamic Configuration of Differential Evolution Control Parameters and Operators -- Exploring the Feasible Space using Constraint Consensus in Solving Constrained Optimization Problems -- A Nested Differential Evolution based Algorithm for Solving Multi-objective Bilevel Optimization Problems -- Parkinson’s Disease Data Classification Using Evolvable Wavelet Neural Networks -- GO-PEAS: A Scalable Yet Accurate Grid-based Outlier Detection Method Using Novel Pruning Searching Techniques -- Multi-objective Genetic Programming for Figure-ground Image Segmentation -- A New Modification of Fuzzy C-Means via Particle Swarm Optimization for Noisy Image Segmentation -- Competitive Island Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction -- Reverse Neuron Level Decomposition for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction -- A Delaunay Triangulation Based Density Measurement for Evolutionary Multi-objective Optimization -- Use of Infeasible Solutions During Constrained Evolutionary Search: A Short Survey -- Planning and Scheduling -- A Differential Evolution Algorithm for Solving Resource Constrained Project Scheduling Problems -- A hybrid imperialist competitive algorithm for flexible job shop problem -- Parallel Multi-objective Job Shop Scheduling Using Genetic Programming -- Optimization of Location Allocation of Web Services Using A Modified Non-dominated Sorting Genetic Algorithm -- Double Action Genetic Algorithm for Scheduling the Wind-Thermal Generators -- Feature Selection -- Investigating Multi-operator Differential Evolution for Feature Selection -- Coevolutionary Feature Selection and Reconstruction in Neuro-Evolution for Time Series Prediction -- A Subset Similarity Guided Method for Multi-objective Feature Selection -- Applications and Games -- An Evolutionary Optimization Approach to Maximize Runway Throughput Capacity for Hub and Spoke Airports -- Finite Population Trust Game Replicators -- Towards Evolved Time to Contact Neurocontrollers for Quadcopters -- The Effect of Risk Perceived Payoffs in Iterated Interdependent Security Games -- Genetic Algorithm Based Trading System Design. .
520 _aThis book constitutes the proceedings of the Second Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2016, held in Canberra, ACT, Australia, in February 2016. The 30 full papers presented in this volume were carefully reviewed and selected from 41 submissions. They are organized in topical sections named: mathematical modeling and theory; learning and optimization; planning and scheduling; feature selection; and applications and games. .
650 0 _aArtificial intelligence.
650 0 _aComputers.
650 0 _aPattern recognition.
650 0 _aAlgorithms.
650 0 _aOptical data processing.
650 0 _aApplication software.
650 1 4 _aArtificial Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I21000
650 2 4 _aComputation by Abstract Devices.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I16013
650 2 4 _aPattern Recognition.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
650 2 4 _aAlgorithm Analysis and Problem Complexity.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I16021
650 2 4 _aImage Processing and Computer Vision.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I22021
650 2 4 _aInformation Systems Applications (incl. Internet).
_0https://scigraph.springernature.com/ontologies/product-market-codes/I18040
700 1 _aRay, Tapabrata.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSarker, Ruhul.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLi, Xiaodong.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319282695
776 0 8 _iPrinted edition:
_z9783319282718
830 0 _aLecture Notes in Artificial Intelligence ;
_v9592
830 0 _aLecture Notes in Computer Science ;
_v9592
856 4 0 _uhttps://doi.org/10.1007/978-3-319-28270-1
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
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