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Record Nr. |
UNISA996466088503316 |
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Titolo |
Artificial Life and Computational Intelligence [[electronic resource] ] : Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 – February 2, 2017, Proceedings / / edited by Markus Wagner, Xiaodong Li, Tim Hendtlass |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XIII, 392 p. 122 illus.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 10142 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Algorithms |
Computers |
Pattern recognition |
Optical data processing |
Application software |
Artificial Intelligence |
Algorithm Analysis and Problem Complexity |
Computation by Abstract Devices |
Pattern Recognition |
Image Processing and Computer Vision |
Information Systems Applications (incl. Internet) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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 |
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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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Sommario/riassunto |
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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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