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|a 9783319516912
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|a 10.1007/978-3-319-51691-2
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|a Artificial Life and Computational Intelligence
|h [electronic resource] :
|b Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 – February 2, 2017, Proceedings /
|c edited by Markus Wagner, Xiaodong Li, Tim Hendtlass.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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|a XIII, 392 p. 122 illus.
|b online resource.
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|a text
|b txt
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 10142
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|a Artificial Life and Computational Intelligence -- Extending the Delaunay Triangulation Based Density Measurement to Many-objective Optimization -- Emotion, Trustworthiness and Altruistic Punishment in a Tragedy of the Commons Social Dilemma -- Equity Option Strategy Discovery and Optimization Using a Memetic Algorithm -- Co-Evolving Line Drawings with Hierarchical Evolution -- Reliability estimation of individual multi-target regression predictions -- Feedback Modulated Attention Within a Predictive Framework -- A Batch Infill Strategy for Computationally Expensive Optimization Problems -- Automatic Clustering and Summarisation of Microblogs: A Multi-Subtopic Phrase Reinforcement Algorithm -- Generation and exploration of architectural form using a composite Cellular Automata -- Wrapper Feature Construction for Figure-ground Image Segmentation Using Genetic Programming -- Surrogate-assisted Multi-swarm Particle Swarm Optimization of Morphing Airfoils -- Applying Dependency Patterns in Causal Discovery of Latent Variable Models -- An Evolutionary Multi-criteria Journey Planning Algorithm for Multi-modal Transportation Networks -- Estimating Passenger Preferences Using Implicit Relevance Feedback for Personalized Journey -- Quantitative Assessment of Hearts Function: A Hybrid Mechanism for Left Ventricles Segmentation from Cine MRI Sequences -- A Hybrid feature selection scheme based on local compactness and global separability for improving roller bearing diagnostic performance -- Reliable Fault Diagnosis of Bearings Using Distance and Density Similarity on an Enhanced k-NN -- Towards Solving TSPN with Arbitrary Neighborhoods: A Hybrid Solution -- Detectable Genetic Algorithms-based techniques for solving Dynamic Optimisation Problem with Unknown Active Variables -- Neighbourhood analysis: a case study on Google Machine Reassignment Problem -- Optimisation Algorithms and Applications -- Multi-Objective Optimisation with Multiple Preferred Regions -- An Adaptive Memetic Algorithm for the Architecture Optimisation Problem -- Resource Constrained Job Scheduling with Parallel Constraint-based ACO -- An Iterated Local Search with Guided Perturbation for the Heterogeneous Fleet Vehicle Routing Problem with Time Windows and Three-Dimensional Loading Constraints -- A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization -- Investigating the Generality of Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown -- Exploratory Analysis of Clustering Problems Using a Comparison of Particle Swarm Optimization and Differential Evolution -- A PSO-based Reference Point Adaption Method for Genetic Programming Hyper-heuristic in Many-Objective Job Shop Scheduling -- Optimal power allocation of wireless sensor networks with multi-operator based constrained differential evolution -- CEMAB: A Cross-Entropy-based Method for Large-Scale Multi-Armed Bandits -- Binary PSO for Web Service Location-Allocation -- A MOEA/D with Non-uniform Weight Vector Distribution Strategy for Solving the Unit Commitment Problem in Uncertain Environment.
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|a This book constitutes the refereed proceedings of the Third Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2017, held in Geelong, VIC, Australia, in January/February 2017. The 32 papers presented in this volume were carefully reviewed and selected from 47 submissions. They were organized in topical sections named: artificial life and computational intelligence and optimization algorithms and applications. .
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|a Computer science.
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|a Computers.
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|a Algorithms.
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|a Artificial intelligence.
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|a Image processing.
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|a Pattern recognition.
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|a Computer Science.
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|a Artificial Intelligence (incl. Robotics).
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|a Algorithm Analysis and Problem Complexity.
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|a Computation by Abstract Devices.
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|a Pattern Recognition.
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|a Image Processing and Computer Vision.
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|a Information Systems Applications (incl. Internet).
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|a Wagner, Markus.
|e editor.
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|a Li, Xiaodong.
|e editor.
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|a Hendtlass, Tim.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319516905
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 10142
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|u http://dx.doi.org/10.1007/978-3-319-51691-2
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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|a ZDB-2-LNC
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|a Computer Science (Springer-11645)
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