 |
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|
GECCO'14 Companion Table of Contents Welcome A
Word from the Chair of SIGEVO |
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| (Return to Top) |
Deep
Learning and Cultural Evolution (Page
1) Bridging
Natural and Artificial Evolution (Page
3) Applications
of Program Synthesis to End-User Programming and Intelligent Tutoring
Systems (Page 5) |
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| (Return to Top) | Track: Ant Colony Optimization and Swarm Intelligence A
PSO Approach for Software Project Planning (Page
7) Introducing
Particle Swarm Optimization into a Genetic Algorithm to Evolve Robot
Controllers (Page
9) Fitness
Proportionate Selection Based Binary Particle Swarm Optimization (Page
11) Under-Informed
Momentum in PSO (Page
13) Multi-Swarm
Particle Swarm Optimization with Multiple Learning Strategies (Page
15) An
Ant Colony Optimization for Solving a Hybrid Flexible Flowshop (Page
17) An
Improved Artificial Bee Colony Algorithm for Clustering (Page
19) |
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| (Return to Top) | Track: Artificial Immune Systems Artificial
Immune Systems in the Context of Autonomic Computing: Integrating Design
Paradigms (Page
21) Adapting
to Dynamically Changing Noise During Learning of Heart Sounds: An AIS-Based
Approach Using Systemic Computation (Page
23) |
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| (Return to Top) | Track: Artificial Life, Robotics, and Evolvable Hardware Lifetimes
of Migration (Page
25) Incremental
Evolution of HERCL Programs for Robust Control (Page
27) High-Level
Behavior Regulation for Multi-Robot Systems (Page
29) Evolving
Prediction Machines: Collective Behaviors Based on Minimal Surprisal (Page
31) Minimal
Variable Quantum Decision Makers for Robotic Control (Page
33) General
Intelligence through Prolonged Evolution of Densely Connected Neural
Networks (Page
35) |
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| (Return to Top) | Track: Biological and Biomedical Applications Prediction
of Detectable Peptides in MS Data Using Genetic Programming (Page
37) A
Semantic Expert System for the Evolutionary Design of Synthetic Gene
Networks (Page
39) Evolving
Small GRNs with a Top-Down Approach (Page
41) iSYN:
De Novo Drug Design with Click Chemistry Support (Page
43) |
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| (Return to Top) | Track: Digital Entertainment Technologies and Arts A
Multi-Population Genetic Algorithm for Procedural Generation of Levels
for Platform Games (Page
45) Evolutionary
Approaches to Evolve AI Scripts for a RTS Game (Page
47) A
Methodology for Designing Emergent Literary Backstories on Non-Player
Characters Using Genetic Algorithms (Page
49) Control
of Non Player Characters in a Medical Learning Game with Monte Carlo
Tree Search (Page
51) |
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| (Return to Top) | Track: Estimation of Distribution Algorithms Estimation
of Distribution Algorithms Based on n-Gramstatistics for Sequencing
and Optimization (Page
53) Complexity
of Model Learning in EDAs: Multi-Structure Problems (Page
55) A
Two-Level Hierarchical EDA Using Conjugate Priori (Page
57) |
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| (Return to Top) | Track: Evolution Strategies and Evolutionary Programming An
Algorithm for Evolving Multiple Quantum Operators for Arbitrary Quantum
Computational Problems (Page
59) A
Mathematically Derived Number of Resamplings for Noisy Optimization (Page
61) SEA:
An Evolutionary Algorithm Based on Spherical Inversions (Page
63) |
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| (Return to Top) | Track: Evolutionary Combinatorial Optimization and Metaheuristics Use
EMO to Protect Sensitive Knowledge in Association Rule Mining by Adding
Items (Page 65) Inferring
Automata-Based Programs from Specification with Mutation-Based Ant Colony
Optimization (Page
67) Combinatorial
Optimization with Differential Evolution: A Set-Based Approach (Page
69) Hyper-Heuristics,
Grammatical Evolution and the Capacitated Vehicle Routing Problem (Page
71) On
the Effectiveness of Genetic Algorithms for the Multidimensional Knapsack
Problem (Page 73) |
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| (Return to Top) | Track: Evolutionary Machine Learning Uncovering
Communities in Multidimensional Networks with Multiobjective Genetic
Algorithms (Page
75) A
Variable Kernel Function for Hybrid Unsupervised Kernel Regression (Page
77) Time-Series
Forecasting with Evolvable Partially Connected Artificial Neural Network (Page
79) Novelty-Organizing
Classifiers Applied to Classification and Reinforcement Learning: Towards
Flexible Algorithms (Page
81) Differential
Evolution (DE) for Multi-Objective Feature Selection in Classification (Page
83) |
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| (Return to Top) | Track: Evolutionary Multiobjective Optimization An
Indicator-Based Chemical Reaction Optimization Algorithm for Multi-Objective
Search (Page 85) Non-Dominated
Sorting Differential Evolution with Improved Directional Convergence
and Spread for Multiobjective Optimization (Page
87) Meta-Level
Multi-Objective Formulations of Set Optimization for Multi-Objective
Optimization Problems: Multi-Reference Point Approach to Hypervolume
Maximization (Page
89) Evolutionary
Many-Objective Optimization Using Preference on Hyperplane (Page
91) MOEA/D
with a Delaunay Triangulation Based Weight Adjustment (Page
93) On
the Interrelationships Between Knees and Aggregate Objective Functions (Page
95) Hybridization
of NSGA-II with Greedy Re-Assignment for Variation Tolerant Logic Mapping
on Nano-Scale Crossbar Architectures (Page
97) |
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| (Return to Top) | Track: Generative and Developmental Systems Nu-Life:
Spontaneous Dynamic Hierarchical Organization in a non-Uniform "Life-like"
Cellular Automata (Page
99) Toward
Organogenesis of Artificial Creatures (Page
101) Deep
Learning through Generative and Developmental Systems (Page
103) |
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| (Return to Top) |
Getting
You Faster to Work - A Genetic Algorithm Approach to the Traffic Assignment
Problem (Page 105) Novel
Virtual Fitness Evaluation Framework for Fitness Landscape Learning
Evolutionary Computation (Page
107) The
Creation and Facilitation of Speech and Language Therapy Sessions for
Individuals with Aphasia (Page
109) A
Novel Genetic Algorithm Based on Partitioning for Large-Scale Network
Design Problems (Page
111) A
Novel Genetic Algorithm Based on the Life Cycle of Dictyostelium (Page
113) |
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| (Return to Top) | Ancestral
Networks in Evolutionary Algorithms (Page
115) Search
for the Most Reliable Network of Fixed Connectivity Using Genetic Algorithm (Page
117) Assessing
Different Architectures for Evolutionary Algorithms in JavaScript (Page
119) On
Dedicated Evolutionary Algorithms for Large Non-Linear Constrained Optimization
Problems (Page
121) A
Dimensional-Level Adaptive Differential Evolutionary Algorithm for Continuous
Optimization (Page
123) Evolutionary
Computation for Lifetime Maximization of Wireless Sensor Networks in
Complex 3D Environments (Page
125) |
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| (Return to Top) |
Efficient
Interleaved Sampling of Training Data in Genetic Programming (Page
127) Evolved
Nonlinear Predictor Functions for Lossless Image Compression (Page
129) Predict
the Success or Failure of an Evolutionary Algorithm Run (Page
131) CityBreeder:
City Design with Evolutionary Computation (Page
133) Comparison
of Linear Genetic Programming Variants for Symbolic Regression (Page
135) Universal
Information Distance for Genetic Programming (Page
137) On
Improving Grammatical Evolution Performance in Symbolic Regression with
Attribute Grammar (Page
139) |
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| (Return to Top) | Evolving
Differential Equations with Developmental Linear Genetic Programming
and Epigenetic Hill Climbing (Page
141) A
Comparison Between Geometric Semantic GP and Cartesian GP for Boolean
Functions Learning (Page
143) Incorporating
Expert Knowledge in Object-Oriented Genetic Programming (Page
145) Effective
Simplification of Evolved Push Programs Using a Simple, Stochastic Hill-climber (Page
147) Towards
a Quantum-Inspired Multi-Gene Linear Genetic Programming Model (Page
149) GPGPU-Assisted
Denoising Filter Generation for Video Coding (Page
151) A
Projection-based Decomposition in EHW Method for Design of Relatively
Large Circuits (Page
153) |
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| (Return to Top) | Track: Integrative Genetic and Evolutionary Computation An
Artificial Ecosystem Algorithm Applied to the Travelling Salesman Problem (Page
155) Risk
Aversion and Mobility in the Public Goods Game (Page
157) The
Structure of an 8-State Finite Transducer Representation for Prisoner's
Dilemma (Page 159) Enhancing
the Differential Evolution with Convergence Speed Controller for Continuous
Optimization Problems (Page
161) |
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| Track: Parallel Evolutionary Systems GPU-Based
Massively Parallel Quantum Inspired Genetic Algorithm for Detection
of Communities in Complex Networks (Page
163) |
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| (Return to Top) | Track: Real World Applications Darwin:
A Ground Truth Agnostic CAPTCHA Generator Using Evolutionary Algorithm (Page
165) Completely
Hide Sensitive Association Rules Using EMO by Deleting Transactions (Page
167) Distributed
Multi-Robot Search in the Real-World Using Modified Particle Swarm Optimization (Page
169) Using
Evolutionary Techniques to Analyze the Security of Quantum Key Distribution
Protocols (Page
171) Detection
and Estimation of Unmodeled Narrowband Nonstationary Signals: Application
of Particle Swarm Optimization in Gravitational Wave Data Analysis (Page
173) Semi-Fragile
Watermark Design for Detecting Illegal Two-Dimensional Barcodes by Evolutionary
Multi-Objective Optimization (Page
175) Multi-Objective
Optimization Applied to Systematic Conservation Planning and Spatial
Conservation Priorities Under Climate Change (Page
177) Evolution
of Digital Modulation Schemes for Radio Systems (Page
179) Windmill
Farm Pattern Optimization Using Evolutionary Algorithms (Page
181) Normalization
Group Brain Storm Optimization for Power Electronic Circuit Optimization (Page
183) |
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| (Return to Top) | Track: Search Based Software Engineering An
Adaptive Memetic Agorithm Based on Multiobjective Optimization for Software
Next Release Problem (Page
185) Software
Refactoring Under Uncertainty: A Robust Multi-Objective Approach (Page
187) Learning
from Evolved Next Release Problem Instances (Page
189) |
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| (Return to Top) |
Fate
Agent Evolutionary Algorithms with Self-Adaptive Mutation (Page
191) Reinforcement
Learning for Adaptive Operator Selection in Memetic Search Applied to
Quadratic Assignment Problem (Page
193) Multi-Sample
Evolution of Robust Black-Box Search Algorithms (Page
195) Building
Algorithm Portfolios for Memetic Algorithms (Page
197) On
the Locality of Neural Meta-Representations (Page
199) |
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| (Return to Top) |
OneMax
Helps Optimizing XdivK: Theoretical Runtime Analysis for RLS and EA+RL (Page
201) NM
Landscapes: Beyond NK (Page
203) |
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| (Return to Top) |
Introduction
to Genetic Algorithms (Page
205) Genetic
Programming: A Tutorial Introduction (Page
227) Introduction
to Evolution Strategies (Page
251) Evolutionary
Computation: A Unified Approach (Page
281) GECCO
2014 Tutorial On Evolutionary Multiobjective Optimization (Page
297) Representations
for Evolutionary Algorithms (Page
323) Statistical
Analysis for Evolutionary Computation: An Introduction (Page
345) Particle
Swarm Optimization (Page
381) Learning
Classifier Systems: A Gentle Introduction (Page
407) Model-Based
Evolutionary Algorithms (Page
431) Runtime
Analysis of Evolutionary Algorithms: Basic Introduction (Page
459) Evolving
Neural Networks (Page
487) |
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| (Return to Top) |
Evolution
Strategies and CMA-ES (Covariance Matrix Adaptation) (Page
513) Constraint-Handling
Techniques Used with Evolutionary Algorithms (Page
535) Blind
No More: Constant Time Non-Random Improving Moves and Exponentially
Powerful Recombination (Page
559) Expressive
Genetic Programming (Page
581) Parameterized
Complexity Analysis of Evolutionary Algorithms (Page
607) Black-Box
Complexity: From Complexity Theory to Playing Mastermind (Page
623) Bioinspired
Computation in Combinatorial Optimization: Algorithms and Their Computational
Complexity (Page
647) Theory
of Swarm Intelligence (Page
687) Information
Geometry in Evolutionary Computation (Page
709) |
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| (Return to Top) |
Cellular
Genetic Algorithms (Page
733) Artificial
Immune Systems for Optimisation (Page
749) Generative
and Developmental Systems Tutorial (Page
765) Evolutionary
Image Analysis and Signal Processing (Page
795) Decomposition
and Cooperative Coevolution Techniques for Large Scale Global Optimization (Page
819) Evolutionary
Search Algorithms for Protein Modeling: From De novo Structure Prediction
to Comprehensive Maps of Functionally-relevant Structures of Protein
Chains and Assemblies (Page
839) Evolutionary
Bilevel Optimization (Ebo) (Page
857) Introduction
to Evolutionary Game Theory (Page
877) Medical
Applications of Evolutionary Computation (Page
891) Automatic
(Offline) Configuration of Algorithms (Page
921) Self-Assembly (Page
947) |
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| (Return to Top) | 17th Annual International Workshop on Learning Classifier Systems IWLCS
2014 Chairs' Message and Organization (Page
967) Reusing
Learned Functionality in XCS: Code Fragments with Constructed Functionality
and Constructed Features (Page
969) Rule
Networks in Learning Classifier Systems (Page
977) |
||||||||
| (Return to Top) | Eighth Annual Workshop on Evolutionary Computation and Multi-Agent Systems and Simulation Evolutionary
Computation and Multi-Agent Systems and Simulation (Ecomass) Chairs'
Welcome (Page 983) Dynamic
Learning of Heart Sounds with Changing Noise: An AIS-Based Multi-Agent
Model Using Systemic Computation (Page
985) A
Genetic Based Scheduling Approach of Real-Time Reconfigurable Embedded
Systems (Page 993) The
Effect of Communication on the Evolution of Cooperative Behavior in
a Multi-Agent System (Page
999) Modeling
the Information Propagation in an Email Communication Network Using
an Agent-Based Approach (Page
1007) A
Study on the Configuration of Migratory Flows in Island Model Differential
Evolution (Page
1015) |
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| (Return to Top) |
Student
Workshop Chairs' Welcome and Organization List (Page
1023) Effects
of Personality Decay on Collective Movements (Page
1025) An
Efficient Fitness-based Stagnation Detection Method for Particle Swarm
Optimization (Page
1029) Selecting
Evolutionary Operators Using Reinforcement Learning: Initial Explorations (Page
1033) Improving
the Quality of Supervised Finite-State Machine Construction Using Real-Valued
Variables (Page
1039) Multi-core
GE: Automatic Evolution of CPU Based Multi-core Parallel Programs (Page
1041) Parameter
Tuning in Quantum-Inspired Evolutionary Algorithms for Partitioning
Complex Networks (Page
1045) Developing
Morphological Computation in Tensegrity Robots for Controllable Actuation (Page
1049) A
Reference Points-based Evolutionary Algorithm for Many-objective Optimization (Page
1053) Particles
Types in a Swarm: Searching for Efficiency (Page
1057) Flood
Evolution: Changing the Evolutionary Substrate from a Path of Stepping
Stones to a Field of Rocks (Page
1061) Consensus
Costs and Conflict in Robot Swarms (Page
1065) A
Case Based Approach for an Intelligent Route Optimization Technology (Page
1069) A
Niching Cumulative Genetic Algorithm with Evaluated Probability for
Multimodal Optimization (Page
1073) A
Quantitative Analysis of the Simplification Genetic Operator (Page
1077) |
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| (Return to Top) | Workshop: Visualisation Methods in Genetic and Evolutionary Computation VizGEC
2014 Welcome (Page
1081) EA
Stability Visualization: Perturbations, Metrics and Performance (Page
1083) On
the Visualization of Trade-offs and Reducibility in Many-Objective Optimization (Page
1091) Initial
Experiments in Visualization of Empirical Attainment Function Differences
Using Maximum Intensity Projection (Page
1099) |
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| (Return to Top) | Workshop: Evolutionary Computation Software Systems Evolutionary
Computation Software Systems (Evosoft) Chairs' Welcome (Page
1107) Scripting
and Framework Integration in Heuristic Optimization Environments (Page
1109) Working
with Opencl to Speed Up A Genetic Programming Financial Forecasting
Algorithm: Initial Results (Page
1117) Distributed
Optimization on Super Computers: Case Study on Software Architecture
Optimization Framework (Page
1125) Hyperion2:
A Toolkit for {Meta-, Hyper-} Heuristic Research (Page
1133) A
Scalable Symbolic Expression Tree Interpreter for the Heuristic Lab
Optimization Framework (Page
1141) A
Genetic Programming Problem Definition Language Code Generator for the
EpochX Framework (Page
1149) NodEo,
a Multi-Paradigm Distributed Evolutionary Algorithm Platform in JavaScript (Page
1155) |
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| (Return to Top) | Workshop: Evolutionary Synthesis of Dynamical Systems A
Probabilistic Pareto Local Search Based on Historical Success Counting
for Multiobjective Optimization (Page
1163) Evolutionary
Synthesis of Dynamical Systems - The Past, Current, and Future (Page
1169) Design
Optimization of MEMS Using Constrained Multi-Objective Evolutionary
Algorithm (Page
1175) Epsilon
Constrained Method for Constrained Multiobjective Optimization Problems:
Some Preliminary Results (Page
1181) |
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| (Return to Top) | Workshop: Green and Efficient Energy Applications of Genetic and Evolutionary Computation Green
and Efficient Energy Applications of Genetic and Evolutionary Computation
(GreenGEC'14) Chairs' Welcome (Page
1187) Efficiency
Enhancements for Evolutionary Capacity Planning in Distribution Grids (Page
1189) Reinforcement
Learning Based Energy Efficient LTE RAN (Page
1197) Balancing
Performance, Resource Efficiency and Energy Efficiency for Virtual Machine
Deployment in DVFS-enabled Clouds: an Evolutionary Game Theoretic Approach (Page
1205) A
Survey on Sustainability in ICT: A Computing Perspective (Page
1213) |
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| (Return to Top) | Workshop on Problem Understanding and Real-World Optimisation PURO
2014 Chairs' Welcome and Organization List (Page
1221) A
Comparison of Antenna Placement Algorithms (Page
1223) Hyper-Heuristic
Genetic Algorithm for Solving Frequency Assignment Problem in TD-SCDMA (Page
1235) A
Real-World Employee Scheduling and Routing Application (Page
1239) |
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| (Return to Top) | Workshop on Genetic and Evolutionary Computation in Defense, Security and Risk Management SecDef
2014 Workshop Chairs' Welcome (Page
1243) Enforcing
Corporate Security Policies via Computational Intelligence Techniques (Page
1245) On
Botnet Behaviour Analysis Using GP and C4.5 (Page
1253) Evolutionary
Based Moving Target Cyber Defense (Page
1261) On
the Role of Multi-Objective Optimization in Risk Mitigation for Critical
Infrastructures with Robotic Sensor Networks (Page
1269) |
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| (Return to Top) | Workshop: Evolutionary Computation for Big Data and Big Learning 2014
Evolutionary Computation for Big Data and Big Learning Workshop Chairs'
Welcome (Page 1277) Evolving
Relational Hierarchical Classification Rules for Predicting Gene Ontology-Based
Protein Functions (Page
1279) On
the Application of GP to Streaming Data Classification Tasks with Label
Budgets (Page 1287) |
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| (Return to Top) | Workshop: Medical Applications of Genetic and Evolutionary Computation MedGEC'14
Workshop Chairs' Welcome (Page
1295) Classification
of EEG Signals Using a Novel Genetic Programming Approach (Page
1297) Clarke
and Parkes Error Grid Analysis of Diabetic Glucose Models Obtained with
Evolutionary Computation (Page
1305) An
Evaluation of Particle Swarm Optimization Techniques in Segmentation
of Biomedical Images (Page
1313) Classification
and Characterisation of Movement Patterns During Levodopa Therapy for
Parkinson's Disease (Page
1321) Noise-Aware
Evolutionary TDMA Optimization for Neuronal Signaling in Medical Sensor-Actuator
Networks (Page
1329) Data
Based Prediction of Cancer Diagnoses Using Heterogeneous Model Ensembles:
A Case Study for Breast Cancer, Melanoma, and Cancer in the Respiratory
System (Page 1337) |
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| (Return to Top) | Workshop: Symbolic Regression and Modelling GECCO'14
Symbolic Regression and Modeling Chairs' Welcome (Page
1345) A
Mathematical Model of a Cold Rolling Mill by Symbolic Regression alpha-beta (Page
1347) Predict
the Performance of GE with an ACO Based Machine Learning Algorithm (Page
1353) Genetic
Programming with Data Migration for Symbolic Regression (Page
1361) Identification
and Prediction Using Symbolic Regression Alpha-Beta: Preliminary Results (Page
1367) |
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| (Return to Top) | 4th Workshop on Evolutionary Computation for the Automated Design of Algorithms Automated
Design of Algorithms and Genetic Improvement: Contrast and Commonalities:
ADA and GI (Page
1373) A
Step Size Based Self-Adaptive Mutation Operator for Evolutionary Programming (Page
1381) A
Problem Configuration Study of the Robustness of A Black-Box Search
Algorithm Hyper-Heuristic (Page
1389) Benchmarks
That Matter for Genetic Programming (Page
1397) |
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| (Return to Top) | Workshop on Metaheuristic Design Patterns MetaDeep'14
Chairs' Welcome (Page
1405) Structural
Stigmergy: A Speculative Pattern Language for Metaheuristics (Page
1407) Tagging
in Metaheuristics (Page
1411) Metaheuristic
Design Pattern: Candidate Solution Repair (Page
1415) Metaheuristics
in Nature-Inspired Algorithms (Page
1419) A
Template for Designing Single-Solution Hybrid Metaheuristics (Page
1423) The
Executable Experimental Template Pattern for the Systematic Comparison
of Metaheuristics (Page
1427) Metaheuristic
Design Pattern: Interactive Solution Presentation (Page
1431) The
'Representative' Metaheuristic Design Pattern (Page
1435) Template
Method Hyper-Heuristics (Page
1437) The
'Composite' Design Pattern in Metaheuristics (Page
1439) |
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| (Return to Top) |
NSGA-LI
Implementation Details May Influence Quality of Solutions for the Job-Shop
Scheduling Problem (Page
1445) Some
Measurements on the Effects of the Curse of Dimensionality (Page
1447) A
Fast Genetic Algorithm for the Flexible Job Shop Scheduling Problem (Page
1449) Genetic
Algorithms for Evolving Deep Neural Networks (Page
1451) A
Modified Gravitational Search Algorithm for Continuous Optimization (Page
1453) Bat-Inspired
Optimization Approach Applied to Jiles-Atherton Hysteresis Parameters
Tuning (Page 1455) |
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| (Return to Top) | Portfolio
Optimization Using an Integer Genetic Algorithm (Page
1457) Towards
the Automated Generation of Term-Weighting Schemes for Text Categorization (Page
1459) A
Genetic Algorithm for Linear Ordering Problem Using an Approximate Fitness
Evaluation (Page
1461) ABC+ES:
A Novel Hybrid Artificial Bee Colony Algorithm with Evolution Strategies (Page
1463) Evolved
Transforms for Improved Reconstruction of Lossy-Compressed NASA Images (Page
1465) Adaptive
Memetic Algorithm for the Vehicle Routing Problem with Time Windows (Page
1467) An
Iterative Model Refinement Approach for MOEA Computation Time Reduction (Page
1469) A
Study on the Efficiency of Neutral Crossover Operators in Genetic Algorithms
Applied to the Bin Packing Problem (Page
1471) |
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| (Return to Top) | A
Study on the Impact of Heuristic Initialization Functions in a Genetic
Algorithm Solving the N-Queens Problem (Page
1473) Improving
Reconstructed Images Using Hybridization Between Local Search and Harmony
Search Meta-heuristics (Page
1475) First
Results of Performance Comparisons on Many-Core Processors in Solving
QAP with ACO: Kepler GPU versus Xeon Phi (Page
1477) Evaluation
of Fitness Functions of GA Classification (Page
1479) A
Speed-Up and Speed-Down Strategy for Swarm Optimization (Page
1481) A
Novel Genetic Clustering Algorithm with Variable-length Chromosome Representation (Page
1483) A
Novel Quantum Genetic Clustering Algorithm for Data Segmentation (Page
1485) |
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| (Return to Top) |
Women@GECCO
2014 (Page 1487) |
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