![]() | Proceedings Table of Contents Chair's
Welcome |
(Return to Top) |
The
Challenges of Natural Algorithms (Page
1) Taming
the Complexity Monster or: How I Learned to Stop Worrying and Love Hard
Problems (Page
3) |
(Return to Top) | Session: Ant Colony Optimization and Swarm Intelligence Relaxing
Consensus in Distributed Factored Evolutionary Algorithms (Page
5) A
Mixed-Attribute Approach in Ant-Miner Classification Rule Discovery
Algorithm (Page
13) ACO-inspired
Acceleration of Gossip Averaging (Page
21) Curvature
Flight Path for Particle Swarm Optimisation (Page
29) The
Influence of Heredity Models on Adaptability in Evolutionary Swarms (Page
37) Using
Mutual Information to Build Dynamic Neighbourhoods for Particle Swarm
Optimisation (Page
45) A
New Discrete Particle Swarm Optimization Algorithm (Page
53) Update
Strength in EDAs and ACO: How to Avoid Genetic Drift (Page
61) Geometric
Particle Swarm Optimization for Multi-objective Optimization Using Decomposition (Page
69) |
Track: Artificial Immune Systems and Biological and Biomedical Applications |
|
(Return to Top) | A
Novel EA-based Memetic Approach for Efficiently Mapping Complex Fitness
Landscapes (Page
85) |
(Return to Top) | Track: Complex Systems (Artificial Life/Robotics/Evolvable Hardware/Generative and Developmental Systems) EvoRBC:
Evolutionary Repertoire-based Control for Robots with Arbitrary Locomotion
Complexity (Page
93) Quantifying
Deception: A Case Study in the Evolution of Antimicrobial Resistance (Page
101) Convolution
by Evolution: Differentiable Pattern Producing Networks (Page
109) Evolving
Neural Turing Machines for Reward-based Learning (Page
117) Does
Aligning Phenotypic and Genotypic Modularity Improve the Evolution of
Neural Networks? (Page
125) Accelerating
the Evolution of Cognitive Behaviors Through Human-Computer Collaboration (Page
133) Evolvability
Search: Directly Selecting for Evolvability in order to Study and Produce
It (Page 141) Learning
Behavior Characterizations for Novelty Search (Page
149) Neuromodulation
Improves the Evolution of Forward Models (Page
157) Inspiration-Triggered
Search: Towards Higher Complexities by Mimicking Creative Processes (Page
165) How
do Different Encodings Influence the Performance of the MAP-Elites Algorithm? (Page
173) Identifying
Core Functional Networks and Functional Modules within Artificial Neural
Networks via Subsets Regression (Page
181) |
(Return to Top) | Track: Continuous Optimization Permuted
Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization
Benchmarking (Page
189) Projection-Based
Restricted Covariance Matrix Adaptation for High Dimension (Page
197) Analysis
of Different Types of Regret in Continuous Noisy Optimization (Page
205) Analysis
of Linear Convergence of a (1 + 1)-ES with Augmented Lagrangian Constraint
Handling (Page
213) Experimental
Investigation of Recombination Operators for Differential Evolution (Page
221) Low-Budget
Exploratory Landscape Analysis on Multiple Peaks Models (Page
229) Population
Size Adaptation for the CMA-ES Based on the Estimation Accuracy of the
Natural Gradient (Page
237) Two-Dimensional
Barcode Decoration Using Module-wise Non-systematic Coding and Cooperative
Evolution by User and System (Page
245) |
(Return to Top) | Track: Digital Entertainment Technologies and Arts General
Video Game Level Generation (Page
253) Evotype:
From Shapes to Glyphs (Page
261) Demonstrating
the Feasibility of Automatic Game Balancing (Page
269) Discovering
Combos in Fighting Games with Evolutionary Algorithms (Page
277) |
(Return to Top) | Track: Evolutionary Combinatorial Optimization and Metaheuristics Extension
of the CMSA Algorithm: An LP-based Way for Reducing Sub-instances (Page
285) Fast
Heuristics for the Multiple Traveling Thieves Problem (Page
293) Cellular
Genetic Algorithm for Solving a Routing On-Demand Transit Problem (Page
301) Efficient
Hill Climber for Constrained Pseudo-Boolean Optimization Problems (Page
309) Population-based
vs. Single-solution Heuristics for the Travelling Thief Problem (Page
317) Communities
of Local Optima as Funnels in Fitness Landscapes (Page
325) A
Population-based Local Search Technique with Random Descent and Jump
for the Steiner Tree Problem in Graphs (Page
333) A
Simulated Annealing Algorithm for Maximum Common Edge Subgraph Detection
in Biological Networks (Page
341) Multi-objective
Neutral Neighbors? What could be the definition(s)? (Page
349) HMOBEDA:
Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm (Page
357) Feature
Selection in Evolving Job Shop Dispatching Rules with Genetic Programming (Page
365) Additional
Dimensions to the Study of Funnels in Combinatorial Landscapes (Page
373) Multi-hard
Problems in Uncertain Environment (Page
381) Ants
can Learn from the Opposite (Page
389) Evolutionary
Approaches to Optimization Problems in Chimera Topologies (Page
397) Game
theory, Extremal optimization, and Community Structure Detection in
Complex Networks (Page
405) On
the Impact of the Renting Rate for the Unconstrained Nonlinear Knapsack
Problem (Page 413) On
the Design of Hard mUBQP Instances (Page
421) |
(Return to Top) | Track: Evolutionary Machine Learning Human-inspired
Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer
Problem Set (Page
429) Using
an Ant Colony Optimization Algorithm for Monotonic Regression Rule Discovery (Page
437) Evolving
Probabilistically Significant Epistatic Classification Rules for Heterogeneous
Big Datasets (Page
445) Transferable
XCS (Page 453) Improving
the Canny Edge Detector Using Automatic Programming: Improving Non-Max
Suppression (Page
461) Fast
Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference (Page
469) Simple
Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural
Networks (Page
477) Evaluation
of a Tree-based Pipeline Optimization Tool for Automating Data Science (Page
485) A
Hybrid Approach for Sleep Stages Classification (Page
493) Evolving
Deep LSTM-based Memory Networks using an Information Maximization Objective (Page
501) A
New Evaluation Function for Clustering: The NK Internal Validation Criterion (Page
509) A
Wavelet-based Encoding for Neuroevolution (Page
517) |
(Return to Top) | Track: Evolutionary Multiobjective Optimization Karush-Kuhn-Tucker
Proximity Measure for Multi-Objective Optimization Based on Numerical
Gradients (Page
525) Tuning
of Multiple Parameter Sets in Evolutionary Algorithms (Page
533) Experiments
on Greedy and Local Search Heuristics for d-dimensional Hypervolume
Subset Selection (Page
541) Bio-inspired
Multi-objective Optimization Design of a Highly Efficient Squirrel Cage
Induction Motor (Page
549) Runtime
Analysis of Evolutionary Diversity Maximization for OneMinMax (Page
557) A
Multi-Objective Evolutionary Algorithm based on Parallel Coordinates (Page
565) A
Generative Kriging Surrogate Model for Constrained and Unconstrained
Multi-objective Optimization (Page
573) A
Correlation Analysis of Set Quality Indicator Values in Multiobjective
Optimization (Page
581) Active
Learning in Multi-objective Evolutionary Algorithms for Sustainable
Building Design (Page
589) A
Toolkit for Generating Scalable Stochastic Multiobjective Test Problems (Page
597) A
Novel Multi-objective Optimization-based Image Registration Method (Page
605) A
Faster Algorithm for the Binary Epsilon Indicator Based on Orthant Minimum
Search (Page 613) |
(Return to Top) |
Hidden
Genes Genetic Algorithms for Systems Architecture Optimization (Page
629) Expanding
from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary
Algorithms (Page
637) Escaping
Local Optima with Diversity Mechanisms and Crossover (Page
645) Breaking
the Billion-Variable Barrier in Real-World Optimization Using a Customized
Evolutionary Algorithm (Page
653) Fast
Building Block Assembly by Majority Vote Crossover (Page
661) Runtime
Analysis for the Parameter-less Population Pyramid (Page
669) Surprise
Search: Beyond Objectives and Novelty (Page
677) A
Parallel Hybrid Genetic Algorithm for the k-Edge-Connected Hop-Constrained
Network Design Problem (Page
685) Estimating
the Advantage of Age-Layering in Evolutionary Algorithms (Page
693) Exploiting
Diverse Distance Metrics for Surrogate-Based Optimisation of Ordering
Problems: A Case Study (Page
701) |
(Return to Top) |
Improving
Generalisation of Genetic Programming for Symbolic Regression with Structural
Risk Minimisation (Page
709) The
Impact of Hyperselection on Lexicase Selection (Page
717) Automatically
Designing More General Mutation Operators of Evolutionary Programming
for Groups of Function Classes Using a Hyper-Heuristic (Page
725) Quantitative
Analysis of Evolvability using Vertex Centralities in Phenotype Network (Page
733) (Epsilon)-Lexicase
Selection for Regression (Page
741) Non-negative
Matrix Factorization for Unsupervised Derivation of Search Objectives
in Genetic Programming (Page
749) A
New Wave: A Dynamic Approach to Genetic Programming (Page
757) Managing
Repetition in Grammar-Based Genetic Programming (Page
765) A
Dispersion Operator for Geometric Semantic Genetic Programming (Page
773) Evolving
Algebraic Constructions for Designing Bent Boolean Functions (Page
781) Discovering
Rubik's Cube Subgroups using Coevolutionary GP - A Five Twist Experiment (Page
789) Reducing
Antagonism between Behavioral Diversity and Fitness in Semantic Genetic
Programming (Page
797) |
(Return to Top) | Track: Integrative Genetic and Evolutionary Computation Approximation
of (k,t)-robust Equilibria (Page
805) Classification
of Cardiac Arrhythmia by Random Forests with Features Constructed by
Kaizen Programming with Linear Genetic Programming (Page
813) |
(Return to Top) | Track: Parallel Evolutionary Systems The
Seamless Peer and Cloud Evolution Framework (Page
821) Hardware-Accelerated
Parallel Genetic Algorithm for Fitness Functions with Variable Execution
Times (Page 829) Performance
for the Masses: Experiments with a Web Based Architecture to Harness
Volunteer Resources for Low Cost Distributed Evolutionary Computation (Page
837) Evaluation-Time
Bias in Quasi-Generational and Steady-State Asynchronous Evolutionary
Algorithms (Page
845) |
(Return to Top) | Track: Real World Applications A
Hybrid Multi-Population Genetic Algorithm for UAV Path Planning (Page
853) Planning
Habitat Restoration with Genetic Algorithms (Page
861) New
Bounds for Office Space Allocation using Tabu Search (Page 869) Multiobjective
Neuroevolutionary Control for a Fuel Cell Turbine Hybrid Energy System (Page
877) A
Genetic Decomposition Algorithm for Predicting Rainfall within Financial
Weather Derivatives (Page
885) |
(Return to Top) | Planning
Inspection Paths through Evolutionary Multi-objective Optimization (Page
893) Evolutionary
Design of Fast High-quality Hash Functions for Network Applications (Page
901) A
Genetic Algorithm for Rule-based Chart Pattern Search in Stock Market
Prices (Page 909) Neuroevolution
of a Hybrid Power Plant Simulator (Page
917) Measuring
Source Code Similarity by Finding Similar Subgraph with an Incremental
Genetic Algorithm (Page
925) Evolutionary
Feature Subset Selection with Compression-based Entropy Estimation (Page
933) Finding
Reliable Solutions in Bilevel Optimization Problems Under Uncertainties (Page
941) |
(Return to Top) | Evolutionary
Learning of Scheduling Heuristics for Heterogeneous Wireless Communications
Networks (Page
949) A
Sparse Recurrent Neural Network for Trajectory Prediction of Atlantic
Hurricanes (Page
957) Tackling
the IFP Problem with the Preference-Based Genetic Algorithm (Page
965) Grammatical
Evolutionary Techniques for Prompt Migraine Prediction (Page
973) A
Real World Multi-UAV Evolutionary Planner for Minimum Time Target Detection (Page
981) Finding
Interactions or Relationships between Customer Orders for Building Better
Batches by Means of an Estimation of Distribution Algorithm-based Approach
for the Online Order Batching Problem (Page
989) Grammatical
Evolution Enhancing Simulated Annealing for the Load Balancing Problem
in Cloud Computing (Page
997) |
(Return to Top) | Benchmarks
for the Coal Processing and Blending Problem (Page
1005) Fine
Tuning of Traffic in our Cities with Smart Panels: The Quito City Case
Study (Page 1013) Evolutionary
Multiobjective Optimization of Winglets (Page
1021) |
(Return to Top) | Selection
of a DFO Method for the Efficient Solution of Continuous Constrained
Sub-Problems within a Memetic Algorithm for Chemical Process Synthesis (Page
1029) Artificial
Multi-Bee-Colony Algorithm for k-Nearest-Neighbor Fields Search (Page
1037) Fast
and Effective Optimisation of Arrays of Submerged Wave Energy Converters (Page
1045) |
(Return to Top) | Track: Search-Based Software Engineering and Self-* Search Test
Case Prioritization of Configurable Cyber-Physical Systems with Weight-Based
Search Algorithms (Page
1053) Learning
Overtime Dynamics Through Multiobjective Optimization (Page
1061) Grammatical
Evolution for the Multi-Objective Integration and Test Order Problem (Page
1069) |
(Return to Top) | A
Search-based Training Algorithm for Cost-aware Defect Prediction (Page
1077) Search-Based
Cost-Effective Test Case Selection within a Time Budget: An Empirical
Study (Page 1085) A
Combined Generative and Selective Hyper-heuristic for the Vehicle Routing
Problem (Page 1093) |
(Return to Top) |
Noisy
Optimization: Fast Convergence Rates with Comparison-Based Algorithms (Page
1101) Optimal
Parameter Settings for the (1+ (lambda,lambda)) Genetic Algorithm (Page
1107) The
Right Mutation Strength for Multi-Valued Decision Variables (Page
1115) Optimal
Parameter Choices via Precise Black-Box Analysis (Page
1123) The
(1+1) Elitist Black-Box Complexity of LeadingOnes (Page
1131) |
(Return to Top) | EDAs
cannot be Balanced and Stable (Page
1139) Optimal
Mutation Rates for the (1+lambda) EA on OneMax (Page
1147) The
Impact of Migration Topology on the Runtime of Island Models in Dynamic
Optimization (Page
1155) When
Non-Elitism Outperforms Elitism for Crossing Fitness Valleys (Page
1163) |