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2. ACALCI 2016: Canberra, ACT, Australia
- Tapabrata Ray
, Ruhul A. Sarker
Artificial Life and Computational Intelligence - Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016, Proceedings. Lecture Notes in Computer Science 9592, Springer 2016, ISBN 978-3-319-28269-5
Mathematical Modeling and Theory
- Dale Patterson
Fractal Dimension - A Spatial and Visual Design Technique for the Creation of Lifelike Artificial Forms. 3-12 - John L. Pfaltz:
Using Closed Sets to Model Cognitive Behavior. 13-26
Learning and Optimization
- AbdelMonaem F. M. AbdAllah, Daryl Essam
Solving Dynamic Optimisation Problems with Known Changeable Boundaries. 29-40 - Isidro M. Alvarez, Will N. Browne
Compaction for Code Fragment Based Learning Classifier Systems. 41-53 - Bingshui Da, Abhishek Gupta
The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking. 54-65 - Kalyan Shankar Bhattacharjee, Hemant Kumar Singh
A Study on Performance Metrics to Identify Solutions of Interest from a Trade-Off Set. 66-77 - Saber Mohammed Elsayed
Dynamic Configuration of Differential Evolution Control Parameters and Operators. 78-88 - Noha M. Hamza
Exploring the Feasible Space Using Constraint Consensus in Solving Constrained Optimization Problems. 89-100 - Md. Monjurul Islam, Hemant Kumar Singh
A Nested Differential Evolution Based Algorithm for Solving Multi-objective Bilevel Optimization Problems. 101-112 - Maryam Mahsal Khan, Stephan K. Chalup
Parkinson's Disease Data Classification Using Evolvable Wavelet Neural Networks. 113-124 - Hongzhou Li, Ji Zhang, Yonglong Luo, Fulong Chen, Liang Chang:
GO-PEAS: A Scalable Yet Accurate Grid-Based Outlier Detection Method Using Novel Pruning Searching Techniques. 125-133 - Yuyu Liang, Mengjie Zhang, Will N. Browne
Multi-objective Genetic Programming for Figure-Ground Image Segmentation. 134-146 - Saeed Mirghasemi, Ramesh Kumar Rayudu
A New Modification of Fuzzy C-Means via Particle Swarm Optimization for Noisy Image Segmentation. 147-159 - Ravneil Nand
Competitive Island Cooperative Neuro-evolution of Feedforward Networks for Time Series Prediction. 160-170 - Ravneil Nand
Reverse Neuron Level Decomposition for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction. 171-182 - Yutao Qi, Minglei Yin, Xiaodong Li
A Delaunay Triangulation Based Density Measurement for Evolutionary Multi-objective Optimization. 183-192 - Hemant Kumar Singh
Use of Infeasible Solutions During Constrained Evolutionary Search: A Short Survey. 193-205
Planning and Scheduling
- Ismail M. Ali
A Differential Evolution Algorithm for Solving Resource Constrained Project Scheduling Problems. 209-220 - Behrooz Ghasemishabankareh, Nasser Shahsavari-Pour, Mohammad-Ali Basiri, Xiaodong Li
A Hybrid Imperialist Competitive Algorithm for the Flexible Job Shop Problem. 221-233 - Deepak Karunakaran
Parallel Multi-objective Job Shop Scheduling Using Genetic Programming. 234-245 - Boxiong Tan, Hui Ma, Mengjie Zhang:
Optimization of Location Allocation of Web Services Using a Modified Non-dominated Sorting Genetic Algorithm. 246-257 - Md Forhad Zaman
A Double Action Genetic Algorithm for Scheduling the Wind-Thermal Generators. 258-269
Feature Selection
- Essam Soliman Debie, Saber Mohammed Elsayed
Investigating Multi-Operator Differential Evolution for Feature Selection. 273-284 - Ravneil Nand
Coevolutionary Feature Selection and Reconstruction in Neuro-Evolution for Time Series Prediction. 285-297 - Bach Hoai Nguyen
A Subset Similarity Guided Method for Multi-objective Feature Selection. 298-310
Applications and Games
- Md Shohel Ahmed, Sameer Alam
An Evolutionary Optimization Approach to Maximize Runway Throughput Capacity for Hub and Spoke Airports. 313-323 - Garrison W. Greenwood, Hussein A. Abbass, Eleni Petraki:
Finite Population Trust Game Replicators. 324-335 - David Howard, Farid Kendoul:
Towards Evolved Time to Contact Neurocontrollers for Quadcopters. 336-347 - Ayman Ghoneim, Kamran Shafi:
The Effect of Risk Perceived Payoffs in Iterated Interdependent Security Games. 348-359 - Richard Tymerski, Ethan Ott, Garrison W. Greenwood:
Genetic Algorithm Based Trading System Design. 360-373
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