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Artificial Life and Computational Intelligence : Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 - February 2, 2017, Proceedings / edited by Markus Wagner, Xiaodong Li, Tim Hendtlass.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 10142
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 10142
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Algorithms.
- Computer science.
- Pattern recognition systems.
- Computer vision.
- Application software.
- Artificial Intelligence.
- Theory of Computation.
- Automated Pattern Recognition.
- Computer Vision.
- Computer and Information Systems Applications.
- Local Subjects:
- Artificial Intelligence.
- Algorithms.
- Theory of Computation.
- Automated Pattern Recognition.
- Computer Vision.
- Computer and Information Systems Applications.
- Physical Description:
- 1 online resource (XIII, 392 pages) : 122 illustrations
- Edition:
- 1st ed. 2017.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2017.
- System Details:
- text file PDF
- Summary:
- 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. .
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-51691-2
- 9783319516912
- Access Restriction:
- Restricted for use by site license.
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