 |
|
Companion Table of Contents Chair's
Welcome |
| (Return to Top) | Ant Colony Optimization and Swarm Intelligence Asynchronous
Steady State Particle Swarm (Page
1) Ant
Colony Optimization Beats Resampling on Noisy Functions (Page
3) |
| (Return to Top) | Artificial Immune Systems and Biological and Biomedical Applications Fitness-Dependent
Hybridization of Clonal Selection Algorithm and Random Local Search (Page
5) Exploiting
the Plasticity of Primary and Secondary Response Mechanisms in Artificial
Immune Systems (Page
7) Metabolite
Overproduction through Engineering and Optimization of Microbiome Composition
Dynamics (Page
9) VorAIS:
A Multi-Objective Voronoi Diagram-based Artificial Immune System (Page
11) Using
Multiobjective Evolutionary Algorithms to Understand Parkinson's Disease (Page
13) |
| (Return to Top) | Complex Systems (Artificial Life/Robotics/Evolvable Hardware/Generative and Developmental Systems) A
Multi-objective Optimization Approach for Generating Complex Networks (Page
15) A
Morphogenetic Design Strategy Using a Composite CA Model (Page
17) An
Extended Study of Quality Diversity Algorithms (Page
19) Automatic
Evolution of Multimodal Behavior with Multi-Brain HyperNEAT (Page
21) Exploring
Conflicting Objectives with MADNS: Multiple Assessment Directed Novelty
Search (Page 23) What
Factors Drive the Evolution of Mutualism? (Page
25) Evolving
Novel Cellular Automaton Seeds Using Compositional Pattern Producing
Networks (CPPN) (Page
27) |
| (Return to Top) |
Contextual
Stochastic Search (Page
29) Diversity-Based
Multi-Population Differential Evolution for Large-Scale Optimization (Page
31) Multilevel
Evolution Strategies for Multigrid Problems (Page
33) QR
Mutations Improve Many Evolution Strategies - A Lot On Highly Multimodal
Problems (Page
35) |
| (Return to Top) | Digital Entertainment Technologies and Arts An
Evo-Devo System for Algorithmic Composition that Actually Works (Page
37) Evolutionary
Procedural 2D Map Generation using Novelty Search (Page
39) Interactive
Super Mario Bros Evolution (Page
41) |
| (Return to Top) | Evolutionary Combinatorial Optimization and Metaheuristics Search
Space Exploration and an Optimization Criterion for Hard Design Problems (Page
43) Experimental
Study of Automated Parameter Tuning on the Example of irace and the
Traveling Salesman Problem (Page
45) A
Novel Co-evolutionary Approach for Constrained Genetic Algorithms (Page
47) Solving
Maximum Cut Problem with an Incremental Genetic Algorithm (Page
49) |
| (Return to Top) | Efficient
Stochastic Local Search for Modularity Maximization (Page
51) Iterated
Local Search Based Heuristic for Scheduling Jobs on Unrelated Parallel
Machines with Machine Deterioration Effect (Page
53) Toward
the Design of Efficient Pivoting Rules for Local Search (Page
55) Hybridizing
Different Local Search Algorithms with Each Other and Evolutionary Computation:
Better Performance on the Traveling Salesman Problem (Page
57) A
Coevolution Genetic Algorithm for Conflict Resolution of Multi-user
Satellite Observation Activities (Page
59) |
| (Return to Top) |
Improving
Logistic Regression Classification of Credit Approval with Features
Constructed by Kaizen Programming (Page
61) Inspecting
the Latent Space of Stock Market Data with Genetic Programming (Page
63) Evolving
Augmented Graph Grammars for Argument Analysis (Page
65) Variance-based
Learning Classifier System without Convergence of Reward Estimation (Page
67) Directly
Constructing Multiple Features for Classification with Missing Data
using Genetic Programming with Interval Functions (Page
69) |
| (Return to Top) | Evolutionary Multiobjective Optimization A
CUDA Implementation of an Improved Decomposition Based Evolutionary
Algorithm for Multi-Objective Optimization (Page
71) Local
Search Move Strategies within MOEA/D (Page
73) Adaptive
Use of Innovization Principles for a Faster Convergence of Evolutionary
Multi-Objective Optimization Algorithms (Page
75) Towards
a Better Diversity of Evolutionary Multi-Criterion Optimization Algorithms
using Local Searches (Page
77) Approximate
BDD Optimization with Prioritized E-Preferred
Evolutionary Algorithm (Page
79) Multi-objective
Optimisation with a Sequence-based Selection Hyper-heuristic (Page
81) Weighted
Optimization Framework for Large-scale Multi-objective Optimization (Page
83) |
| (Return to Top) |
Investigation
on Parameterless Schemes for DSMGA-II (Page
85) A
Novel GA-based Feature Selection Approach for High Dimensional Data (Page
87) A
GA-Inspired Approach to the Reduction of Edge Crossings in Force-Directed
Layouts (Page 89) A
Homologous Gene Replacement based Genetic Algorithm (Page
91) mpEAd:
Multi-Population EA Diagrams (Page
93) Maintaining
Genetic Diversity in Multimodal Evolutionary Algorithms using Population
Injection (Page
95) |
| (Return to Top) |
Simultaneous
Synthesis of Multiple Functions using Genetic Programming with Scaffolding (Page
97) Arbitrarily
Close Alignments in the Error Space: A Geometric Semantic Genetic Programming
Approach (Page
99) Finding
Nonlinear Relationships in fMRI Time Series with Symbolic Regression (Page
101) A
Semantics based Symbolic Regression Framework for Mining Explicit and
Implicit Equations from Data (Page
103) |
| (Return to Top) | On
Heuristics for Seeding the Initial Population of Cartesian Genetic Programming
Applied to Combinational Logic Circuits (Page
105) Evolving
Attackers against Wireless Sensor Networks (Page
107) Niching
Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop
Scheduling: An Investigation into Distance Metrics (Page
109) Grammar-based
Selection Hyper-heuristics for Solving Irregular Bin Packing Problems (Page
111) Solving
the Lawn Mower problem with Kaizen Programming and (lambda)-Linear Genetic
Programming for Module Acquisition (Page
113) |
| (Return to Top) | Integrative Genetic and Evolutionary Computation Recombination
Hotspots Promote the Evolvability of Modular Systems (Page
115) |
| (Return to Top) |
Parallel
Differential Evolution Based on Distributed Cloud Computing Resources
for Power Electronic Circuit Optimization (Page
117) A
New Hybrid GPU-PSO Approach for Solving Max-CSPs (Page
119) Develop,
Deploy and Execute Parallel Genetic Algorithms in the Cloud (Page
121) |
| (Return to Top) |
Optimum
Design of Artificial Lateral Line Systems for Object Tracking under
Uncertain Conditions (Page
123) Introducing
Pareto-based MOEA to Neurosurgery Preoperative Path Planning (Page
125) Improving
Classification of Patterns in Ultra-High Frequency Time Series with
Evolutionary Algorithms (Page
127) Mechanical
Modeling with Particle Swarm Optimization Algorithm for Braided Bicomponent
Ureteral Stent (Page
129) A
Graph-based QoS-Aware Method for Web Service Composition with Branching (Page
131) Evolutionary
Dynamic Optimization of Control Trajectories for the Catalytic Transformation
of the Bioethanol-to-Olefins Process using Neural Networks (Page
133) Co-evolution
of Sensor Morphology and Behavior (Page
135) |
| (Return to Top) | Search-Based Software Engineering and Self-* Search Configuring
a Stigmergy-based Traffic Light Controller (Page
137) Selection
and Generation Hyper-heuristics for Solving the Vehicle Routing Problem
with Time Windows (Page
139) Adaptive
Parameter Selection in Evolutionary Algorithms by Reinforcement Learning
with Dynamic Discretization of Parameter Range (Page
141) Exploiting
Antipheromone in Ant Colony Optimisation for Interactive Search-Based
Software Design and Refactoring (Page
143) Curious:
Searching for Unknown Regions of Space with a Subpopulation-based Algorithm (Page
145) |
| (Return to Top) |
An
Algorithm for Computing Lower Bounds for Unrestricted Black-Box Complexities (Page
147) Principled
Evolutionary Algorithm Design and the Kernel Trick (Page
149) On
the Capacity of Evolution Strategies to Statistically Learn the Landscape (Page
151) |
| (Return to Top) |
Model-Based
Relative Entropy Stochastic Search (Page
153) On
the Automatic Construction of Regular Expressions from Examples (GP
vs. Humans 1-0) (Page
155) Evolution
of Complex Emergent Behaviour in Multi-State Cellular Automata (Page
157) Unleashing
the Potential of Evolutionary Swarm Robotics in the Real World (Page
159) |
| (Return to Top) | The
Benefit of Recombination in Noisy Evolutionary Search (Page
161) Online
Discovery of Search Objectives for Test-based Problems (Page
163) The
Smaller, the Better: Selecting Refined SVM Training Sets Using Adaptive
Memetic Algorithm (Page
165) Intelligent
On-Line Energy Management System for Plug-in Hybrid Electric Vehicles
based on Evolutionary Algorithm (Page
167) |
| (Return to Top) |
Introduction
to Complex Networks (Page
169) Evolutionary
Computation: A Unified Approach (Page
185) GECCO
2016 Tutorial on Evolutionary Multiobjective Optimization (Page
201) Evolving
Neural Networks (Page
229) Genetic
Programming: A Tutorial Introduction (Page
255) Hyper-Heuristics (Page
273) |
| (Return to Top) | Introducing
Rule-Based Machine Learning: Capturing Complexity (Page
305) Introduction
to Randomized Continuous Optimization (Page
333) Introductory
Statistics for EC: A Visual Approach (Page
357) Model-Based
Evolutionary Algorithms (Page
385) Representations
for Evolutionary Algorithms (Page
413) Runtime
Analysis of Population-based Evolutionary Algorithms (Page
435) Theory
for Non-Theoreticians (Page
463) |
| (Return to Top) |
Biased
Random-Key Genetic Algorithms: An Advanced Tutorial (Page
483) Blind
No More: Deterministic Partition Crossover and Deterministic Improving
Moves (Page 515) CMA-ES
and Advanced Adaptation Mechanisms (Page
533) Constraint-Handling
Techniques used with Evolutionary Algorithms (Page
563) Expressive
Genetic Programming: Concepts and Applications (Page
589) |
| (Return to Top) | Generative
and Developmental Systems Tutorial (Page
609) Semantic
Genetic Programming (Page
639) Simulation
Optimisation: Tutorial (Page
663) Solving
Complex Problems with Coevolutionary Algorithms (Page
687) Theory
of Swarm Intelligence (Page
715) Visualization
in Multiobjective Optimization (Page
735) |
| (Return to Top) |
Medical
Applications of Evolutionary Computation (Page
765) Automatic
(Offline) Configuration of Algorithms (Page
795) Cloudy
Distributed Evolutionary Algorithms (Page
819) Intelligent
Systems for Smart Cities (Page
823) Evolutionary
Computation and Games (Page
841) Evolutionary
Computation for Feature Selection and Feature Construction (Page
861) Evolutionary
Computation and Cryptology (Page
883) |
| (Return to Top) |
IAM
2016 Chairs' Welcome & Organization (Page
911) Optimising
a Waste Heat Recovery System using Multi-Objective Evolutionary Algorithm (Page
913) Multi-Line
Batch Scheduling by Similarity (Page
921) Granular-Based
Dimension Reduction for Solar Radiation Prediction Using Adaptive Memory
Programming (Page
929) Criticality
of Response Time in the usage of Metaheuristics in Industry (Page
937) |
| (Return to Top) |
MPDEA
2016 Chairs' Welcome & Organization (Page
941) Promoting
Diversity in Evolutionary Algorithms: an Updated Bibliography (Page
943) Maintaining
Diversity in The Bounded Pareto-Set: A Case of Opposition Based Solution
Generation Scheme (Page
945) Population
Diversity as a Selection Factor: Improving Fitness by Increasing Diversity (Page
953) |
| (Return to Top) | Harnessing
Phenotypic Diversity towards Multiple Independent Objectives (Page
961) On
Synergies between Diversity and Task Decomposition in Constructing Complex
Systems with GP (Page
969) A
Modified Grid Diversity Operator for Discrete Optimization and its Application
to Wind Farm Layout Optimization Problems (Page
977) Effects
of Lexicase and Tournament Selection on Diversity Recovery and Maintenance (Page
983) |
| (Return to Top) |
GECCO'16
Student Workshop Chairs' Welcome & Organization (Page
991) Integrating
Local Search within neat-GP (Page
993) Simulated
Annealing as a Pre-Processing Step for Force-Directed Graph Drawing (Page
997) A
Two Stages Invasive Weed Optimization via a New Clustering Strategy (Page
1001) FdDCA:
A Novel Fuzzy Deterministic Dendritic Cell Algorithm (Page
1007) |
| (Return to Top) | Parallel
SMS-EMOA for Many-Objective Optimization Problems (Page
1011) Evolution
of Layer Based Neural Networks: Preliminary Report (Page
1015) Random
Tree Generator for an FPGA-based Genetic Programming System (Page
1023) Small-Moves
Based Mutation for Pick-Up And Delivery Problem (Page
1027) |
| (Return to Top) | Variable
Selection for Multivariate Calibration in Chemometrics: A Real-World
Application with Building Blocks Disruption Problem (Page
1031) Adding
Program Length Bias to the Lexicase and Tournament Selection Algorithms (Page
1035) Bee-Inspired
Landmark Recognition in Robotic Navigation (Page
1039) |
| (Return to Top) | Evolution in Cognition 2016 Workshop Evolution
in Cognition 2016 Chairs' Welcome (Page
1043) The
Evolution of Artificial Neurogenesis (Page
1047) An
Attractor Network-Based Model with Darwinian Dynamics (Page
1049) |
| (Return to Top) | Darwinian
Dynamics of Embodied Chaotic Exploration (Page
1053) Considering
Memory Networks in the LTM Structure of the Multilevel Darwinist Brain (Page
1057) Gaining
Insight into Quality Diversity (Page
1061) Neuroevolutionary
Motivational Engine for Autonomous Robots (Page
1065) |
| (Return to Top) |
SecDef
Workshop 2016 Chairs' Welcome & Organization (Page
1069) Automatic
Course of Action Generation using Soft Data for Maritime Domain Awareness (Page
1071) Multi-UAV
Path Planning with Parallel Genetic Algorithms on CUDA Architecture (Page
1079) Dynamics
of Adversarial Co-evolution in Tax Non-Compliance Detection (Page
1087) Initiating
a Moving Target Network Defense with a Real-time Neuro-evolutionary
Detector (Page
1095) An
Incremental Ensemble Evolved by using Genetic Programming to Efficiently
Detect Drifts in Cyber Security Datasets (Page
1103) |
| (Return to Top) | Algorithms and Data Structures for Evolutionary Computation 2016 Workshop GECCO'16
Workshop on Algorithms and Data Structures for Evolutionary Computation
Chairs' Welcome (Page
1111) Best
Order Sort: A New Algorithm to Non-dominated Sorting for Evolutionary
Multi-objective Optimization (Page
1113) Efficient
Removal of Points with Smallest Crowding Distance in Two-dimensional
Incremental Non-dominated Sorting (Page
1121) |
| (Return to Top) | Genetic Improvement 2016 Workshop Genetic
Improvement 2016 Chairs' Welcome & Organization (Page
1129) Benchmarking
Genetically Improved BarraCUDA on Epigenetic Methylation NGS datasets
and nVidia GPUs (Page
1131) Guiding
Unconstrained Genetic Improvement (Page
1133) Genetic
Improvement for Code Obfuscation (Page
1135) Speeding
up the Proof Strategy in Formal Software Verification (Page
1137) Optimising
Energy Consumption Heuristically on Android Mobile Phones (Page
1139) |
| (Return to Top) | Automatic
Improvement of Apache Spark Queries using Semantics-preserving Program
Reduction (Page
1141) Genetic
Programming: From Design to Improved Implementation (Page
1147) GP
vs GI: If You Can't Beat Them, Join Them (Page
1155) Evals
is Not Enough: Why We Should Report Wall-clock Time (Page
1157) Evolutionary
Optimization of Compiler Flag Selection by Learning and Exploiting Flags
Interactions (Page
1159) |
| (Return to Top) |
GECCO'16
Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs'
Welcome Message (Page
1167) Anytime
Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES) (Page
1169) Unbounded
Population MO-CMA-ES for the Bi-Objective BBOB Test Suite (Page
1177) Evaluating
the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noiseless
Testbed (Page 1185) |
| (Return to Top) | Evaluating
the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noisy
Testbed (Page 1193) Hypervolume-Based
DIRECT for Multi-Objective Optimisation (Page
1201) A
MATLAB Toolbox for Surrogate-Assisted Multi-Objective Optimization:
A Preliminary Study (Page
1209) Benchmarking
the Pure Random Search on the Bi-objective BBOB-2016 Testbed (Page
1217) The
Impact of Variation Operators on the Performance of SMS-EMOA on the
Bi-objective BBOB-2016 Test Suite (Page
1225) |
| (Return to Top) | Benchmarking
MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite (Page
1233) Benchmarking
RM-MEDA on the Bi-objective BBOB-2016 Test Suite (Page
1241) Performance
of the DEMO Algorithm on the Bi-objective BBOB Test Suite (Page
1249) The
Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective
BBOB-2016 Test Suite (Page
1257) |
| (Return to Top) |
Surrogate-Assisted
Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization (Page
1265) Mining
Markov Network Surrogates for Value-Added Optimisation (Page
1267) Adaptation
of Surrogate Tasks for Bipedal Walk Optimization (Page
1275) Fitness
Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional
Expensive Problems (Page
1277) Uncertainty
in Surrogate Models (Page
1279) Data
Driven Evolutionary Optimization of Complex Systems: Big Data versus
Small Data (Page
1281) |
| (Return to Top) | Evolutionary Computation in Computational Structural Biology 2016 Workshop Workshop
Evolutionary Computation in Computational Structural Biology 2016 Chairs'
Welcome (Page 1283) Using
Crowding-Distance in a Multiobjective Genetic Algorithm for Protein
Structure Prediction (Page
1285) Path-based
Guidance of an Evolutionary Algorithm in Mapping a Fitness Landscape
and its Connectivity (Page
1293) An
Ecologically-inspired Parallel Approach Applied to the Protein Structure
Reconstruction from Contact Maps (Page
1299) Protein
Folding Modeling with Neural Cellular Automata Using Rosetta (Page
1307) |
| (Return to Top) |
Evolutionary
Computation Software Systems (EvoSoft) Workshop 2016 Chairs' Welcome
& Organization (Page
1313) elephant56:
Design and Implementation of a Parallel Genetic Algorithms Framework
on Hadoop MapReduce (Page
1315) NodIO:
A Framework and Architecture for Pool-based Evolutionary Computation (Page
1323) Optimization
Knowledge Center: A Decision Support System for Heuristic Optimization (Page
1331) |
| (Return to Top) |
ECADA
2016 Chairs' Welcome (Page
1339) Exploration
of Metaheuristics through Automatic Algorithm Configuration Techniques
and Algorithmic Frameworks (Page
1341) Evolution
Evolves with Autoconstruction (Page
1349) Connecting
Automatic Parameter Tuning, Genetic Programming as a Hyper-heuristic,
and Genetic Improvement Programming (Page
1357) Why
Asynchronous Parallel Evolution is the Future of Hyper-heuristics: A
CDCL SAT Solver Case Study (Page
1359) |
| (Return to Top) |
MedGEC'16
Chairs' Welcome (Page
1367) A
Multi-Objective Approach to Predicting Motor and Cognitive Deficit in
Parkinson's Disease Patients (Page
1369) Exploring
the Application of Hybrid Evolutionary Computation Techniques to Physical
Activity Recognition (Page
1377) |
| (Return to Top) | An
Optimized Feed-forward Artificial Neural Network Topology to Support
Radiologists in Breast Lesions Classification (Page
1385) Predicting
Glycemia in Diabetic Patients By Evolutionary Computation and Continuous
Glucose Monitoring (Page
1393) |
| (Return to Top) |
GECCO'16
Model-Based Evolutionary Algorithms (MBEA) Workshop Chairs' Welcome (Page
1401) Pareto
Inspired Multi-objective Rule Fitness for Adaptive Rule-based Machine
Learning (Page
1403) Code
Fragments: Past and Future use in Transfer Learning (Page
1405) Hands-on
Workshop on Learning Classifier Systems (Page
1407) |
| (Return to Top) |
International
Workshop on Evolutionary Rule-Based Machine Learning Workshop (IWERML)
Welcome & Organization (Page
1409) Visualisation
and Analysis of Genetic Records Produced by Cartesian Genetic Programming (Page
1411) Visualizing
Genetic Programming Ancestries (Page
1419) Visualizing
for Success: How Can we Make the User more Efficient in Interactive
Evolutionary Algorithms? (Page
1427) Enabling
Dominance Resistance in Visualisable Distance-Based Many-Objective Problems (Page
1429) Learning
Features for Discriminative Behavior Analysis of Evolutionary Algorithms
via Slow Feature Analysis (Page
1437) |
| (Return to Top) |
Visualisation
Methods in Genetic and Evolutionary Computation (VizGEC 2016) Chairs'
Welcome & Organization (Page
1445) |
| (Return to Top) |
Women@GECCO
2016 Chairs' Welcome (Page
1447) |
| (Return to Top) |
Late-Breaking
Abstracts Workshop at GECCO'16: Chair's Welcome (Page
1451) A
Multimodal Adaptive Genetic Clustering Algorithm (Page
1453) BeamGA
Median: A Hybrid Heuristic Search Framework (Page
1455) Nearing
Stroop Effect Replication via Neuroevolution (Page
1457) Reducing
Energy Consumption in Smart Cities: A Scatter Search Based Approach [Extended Abstract] (Page
1459) |
| (Return to Top) | Feature
Selection using Genetic Algorithm: An Analysis of the Bias-Property
for One-Point Crossover (Page
1461) Discovery
Motifs by Evolutionary Computation (Page
1463) Are
Evolutionary Computation-Based Methods Comparable to State-of-the-Art
non-Evolutionary Methods for Community Detection? (Page
1465) On
Development of a New Approach for EA Acceleration in Chosen Large Optimization
Problems of Mechanics (Page
1467) Comparison
between Golden Ball Meta-heuristic, Evolutionary Simulated Annealing
and Tabu Search for the Traveling Salesman Problem (Page
1469) |
| (Return to Top) | TIMON
Project: Description and Preliminary Tests for Traffic Prediction Using
Evolutionary Techniques (Page
1471) Schemata
Bandits for MAXSAT (Page
1473) Multiobjective
Discrete Differential Evolution for Service Restoration in Energy Distribution
Systems (Page 1475) Increasing
the Throughput of Expensive Evaluations Through a Vector Based Genetic
Programming Framework (Page
1477) |