Artificial Life and Computational Intelligence Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 February 2, 2017, Proceedings 1st Edition by Springer ISBN 3319282700 9783319282701

Artificial Life and Computational Intelligence Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 – February 2, 2017, Proceedings 1st Edition by Springer  – Ebook PDF Instant Download/Delivery: 3319282700, 9783319282701
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Product details:

ISBN 10: 3319282700

ISBN 13: 9783319282701
Author: Springer 

This 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. 

Artificial Life and Computational Intelligence Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 – February 2, 2017, Proceedings 1st Table of contents:

1. Mathematical 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

2. Learning and Optimization

Solving Dynamic Optimisation Problems 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

3. Planning and Scheduling

A Differential Evolution Algorithm for Solving Resource Constrained Project Scheduling Problems

A Hybrid Imperialist Competitive Algorithm for the 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

A Double Action Genetic Algorithm for Scheduling the Wind-Thermal Generators

4. 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

5. Applications and Games

An Evolutionary Optimization Approach to Maximize Runway Throughput Capacity for Hub and Spoke Airports

Finite Population Trust Game Replicators

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