This bookconstitutes the proceedings of the Second Australasian Conference on ArtificialLife and Computational Intelligence, ACALCI 2016, held in Canberra, ACT,Australia, in February 2016.
The 30 fullpapers presented in this volume were carefully reviewed and selected from 41submissions. They are organized in topical sections named: mathematicalmodeling and theory; learning and optimization; planning and scheduling;feature selection; and applications and games.
Mathematical Modeling and Theory.- FractalDimension - A Spatial and Visual Design Technique for the Creation of LifelikeArtificial Forms.- Using Closed Sets to Model Cognitive Behavior.- Learning andOptimization.- Solving dynamic optimisation problem with known changeableboundaries.- Compaction for Code Fragment Based Learning Classifier Systems.- TheBoon of Gene-Culture Interaction for Effective Evolutionary Multitasking.- AStudy on Performance Metrics to Identify Solutions of Interest From a Trade-offSet.- Dynamic Configuration of Differential Evolution Control Parameters andOperators.- Exploring the Feasible Space using Constraint Consensus in Solving ConstrainedOptimization Problems.- A Nested Differential Evolution based Algorithm forSolving Multi-objective Bilevel Optimization Problems.- Parkinson´s DiseaseData Classification Using Evolvable Wavelet Neural Networks.- GO-PEAS: AScalable Yet Accurate Grid-based Outlier Detection Method Using Novel PruningSearching Techniques.- Multi-objective Genetic Programming for Figure-ground ImageSegmentation.- A New Modification of Fuzzy C-Means via Particle SwarmOptimization for Noisy Image Segmentation.- Competitive Island CooperativeNeuro-Evolution of Feedforward Networks for Time Series Prediction.- ReverseNeuron Level Decomposition for Cooperative Neuro-Evolution of FeedforwardNetworks for Time Series Prediction.- A Delaunay Triangulation Based DensityMeasurement for Evolutionary Multi-objective Optimization.- Use of InfeasibleSolutions During Constrained Evolutionary Search: A Short Survey.- Planning andScheduling.- A Differential Evolution Algorithm for Solving ResourceConstrained Project Scheduling Problems.- A hybrid imperialist competitivealgorithm for flexible job shop problem.- Parallel Multi-objective Job ShopScheduling Using Genetic Programming.- Optimization of Location Allocation ofWeb Services Using A Modified Non-dominated Sorting Genetic Algorithm.- DoubleAction Genetic Algorithm for Scheduling the Wind-Thermal Generators.- Feature Selection.-Investigating Multi-operator Differential Evolution for Feature Selection.- CoevolutionaryFeature Selection and Reconstruction in Neuro-Evolution for Time SeriesPrediction.- A Subset Similarity Guided Method for Multi-objective FeatureSelection.- Applications and Games.- An Evolutionary Optimization Approach toMaximize Runway Throughput Capacity for Hub and Spoke Airports.- FinitePopulation Trust Game Replicators.- Towards Evolved Time to ContactNeurocontrollers for Quadcopters.- The Effect of Risk Perceived Payoffs in IteratedInterdependent Security Games.- Genetic Algorithm Based Trading System Design.
This bookconstitutes the proceedings of the Second Australasian Conference on ArtificialLife and Computational Intelligence, ACALCI 2016, held in Canberra, ACT,Australia, in February 2016. The 30 fullpapers presented in this volume were carefully reviewed and selected from 41submissions.
This bookconstitutes the proceedings of the Second Australasian Conference on ArtificialLife and Computational Intelligence, ACALCI 2016, held in Canberra, ACT,Australia, in February 2016.
The 30 fullpapers presented in this volume were carefully reviewed and selected from 41submissions. They are organized in topical sections named: mathematicalmodeling and theory; learning and optimization; planning and scheduling;feature selection; and applications and games.
Mathematical Modeling and Theory.- FractalDimension - A Spatial and Visual Design Technique for the Creation of LifelikeArtificial Forms.- Using Closed Sets to Model Cognitive Behavior.- Learning andOptimization.- Solving dynamic optimisation problem with known changeableboundaries.- Compaction for Code Fragment Based Learning Classifier Systems.- TheBoon of Gene-Culture Interaction for Effective Evolutionary Multitasking.- AStudy on Performance Metrics to Identify Solutions of Interest From a Trade-offSet.- Dynamic Configuration of Differential Evolution Control Parameters andOperators.- Exploring the Feasible Space using Constraint Consensus in Solving ConstrainedOptimization Problems.- A Nested Differential Evolution based Algorithm forSolving Multi-objective Bilevel Optimization Problems.- Parkinson's DiseaseData Classification Using Evolvable Wavelet Neural Networks.- GO-PEAS: AScalable Yet Accurate Grid-based Outlier Detection Method Using Novel PruningSearching Techniques.- Multi-objective Genetic Programming for Figure-ground ImageSegmentation.- A New Modification of Fuzzy C-Means via Particle SwarmOptimization for Noisy Image Segmentation.- Competitive Island CooperativeNeuro-Evolution of Feedforward Networks for Time Series Prediction.- ReverseNeuron Level Decomposition for Cooperative Neuro-Evolution of FeedforwardNetworks for Time Series Prediction.- A Delaunay Triangulation Based DensityMeasurement for Evolutionary Multi-objective Optimization.- Use of InfeasibleSolutions During Constrained Evolutionary Search: A Short Survey.- Planning andScheduling.- A Differential Evolution Algorithm for Solving ResourceConstrained Project Scheduling Problems.- A hybrid imperialist competitivealgorithm for flexible job shop problem.- Parallel Multi-objective Job ShopScheduling Using Genetic Programming.- Optimization of Location Allocation ofWeb Services Using A Modified Non-dominated Sorting Genetic Algorithm.- DoubleAction Genetic Algorithm for Scheduling the Wind-Thermal Generators.- Feature Selection.-Investigating Multi-operator Differential Evolution for Feature Selection.- CoevolutionaryFeature Selection and Reconstruction in Neuro-Evolution for Time SeriesPrediction.- A Subset Similarity Guided Method for Multi-objective FeatureSelection.- Applications and Games.- An Evolutionary Optimization Approach toMaximize Runway Throughput Capacity for Hub and Spoke Airports.- FinitePopulation Trust Game Replicators.- Towards Evolved Time to ContactNeurocontrollers for Quadcopters.- The Effect of Risk Perceived Payoffs in IteratedInterdependent Security Games.- Genetic Algorithm Based Trading System Design.
Inhaltsverzeichnis
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.- Learning and
Optimization.- Solving dynamic optimisation problem 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.- Planning and
Scheduling.- A Differential Evolution Algorithm for Solving Resource
Constrained Project Scheduling Problems.- A hybrid imperialist competitive
algorithm for 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.- Double
Action Genetic Algorithm for Scheduling the Wind-Thermal Generators.- 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.- Applications and Games.- An Evolutionary Optimization Approach to
Maximize Runway Throughput Capacity for Hub and Spoke Airports.- Finite
Population Trust Game Replicators.- Towards Evolved Time to Contact
Neurocontrollers for Quadcopters.- The Effect of Risk Perceived Payoffs in Iterated
Interdependent Security Games.- Genetic Algorithm Based Trading System Design.
Klappentext
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.
Includes supplementary material: sn.pub/extras
