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GECCO 2013 Companion Editors, Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO'13, July 6–10, 2013, Amsterdam, The Netherlands. ACM 2013, ISBN 978-1-4503-1964-5. Table of Contents Welcome
from General Chair A
Word from the Chair of SIGEVO GECCO 2013 Conference Organizers GECCO 2013 Program Committee Members GECCO 2013 Sponsor and Supporters | |||||||
| (Return to Top) | Ant Colony Optimization and Swarm Intelligence Information
Sharing in Bee Colony for Detecting Multiple Niches in Non-Stationary
Environments (Page
1) Ant
Colony Optimization with Adaptive Heuristics Design (Page
3) Towards
a Repulsive and Adaptive Particle Swarm Optimization Algorithm (Page
5) Simultaneous
Gene Selection and Cancer Classification Using a Hybrid Group Search
Optimizer (Page
7) Steep
Gradients as a Predictor of PSO Failure (Page
9) Partially
Connected Topologies for Particle Swarm (Page
11) Ant
Colony Optimisation and the Traveling Salesperson Problem - Hardness,
Features and Parameter Settings: Extended Abstract (Page
13) Evaluating
the Use of Different Measure Functions in the Predictive Quality of
ABC-Miner (Page
15) Particles
Prefer Walking Along the Axes: Experimental Insights into the Behavior
of a Particle Swarm (Page
17) Space-Based
Initialization Strategy for Particle Swarm Optimization (Page
19) | ||||||
| (Return to Top) | Artificial Life/Robotics/Evolvable Hardware Evolutionary
Optimization of Robotic Fish Control and Morphology (Page
21) Summary
of "The Evolutionary Origins of Modularity" (Page
23) Natural
Selection Fails to Optimize Mutation Rates for Long-Term Adaptation
on Rugged Fitness Landscapes (Page
25) Using
Reinforcement Learning and Artificial Evolution for the Detection of
Group Identities in Complex Adaptive Artificial Societies (Page
27) Dynamic
Memory for Robot Control via Delay Neural Networks (Page
29) High
Resilience in Robotics with a Multi-Objective Evolutionary Algorithm (Page
31) Evolution
of Altruism: Spatial Dispersion and Consumption Strategies (Page
33) Sensitivity
Analysis of a Crawl Gait Multi-Objective Optimization System (Page
35) Distributed
Embodied Evolution for Collective Tasks: Parametric Analysis of a Canonical
Algorithm (Page
37) | ||||||
| (Return to Top) | Biological and Biomedical Applications Leveraging
Ensemble Information of Evolving Populations in Genetic Algorithms to
Identify Incomplete Metabolic Pathways (Page
39) Using
Evolutionary Algorithms in Finding of Optimized Nucleotide Substitution
Matrices (Page
41) NABEECO
Biological Network Alignment with Bee Colony Optimization Algorithm (Page
43) Analysis
of Relationship Between Amino Acid Composition of Proteins and Environmental
Features of Microorganisms Using Evolutionary Algorithm and Self-Organizing
Maps (Page 45) | ||||||
| (Return to Top) | Digital Entertainment Technologies and Arts Comparing
Coevolution, Genetic Algorithms, and Hill-Climbers for Finding Real-Time
Strategy Game Plans (Page
47) Multi-Feature
Visualisations of Phenotypic Behaviour for Creative Interactive Evolution (Page
49) Sonification
of Population Behavior in Particle Swarm Optimization (Page
51) | ||||||
Estimation of Distribution Algorithms Estimation
of Distribution Algorithm Based on Hidden Markov Models for Combinatorial
Optimization (Page
53) Factor
Graph Based Factorization Distribution Algorithm (Page
55) | |||||||
| (Return to Top) | Evolution Strategies and Evolutionary Programming Fitness
Tracking Based Evolutionary Programming: A Novel Approach for Function
Optimization (Page
57) Analysis
of Generalised Tit-For-Tat Strategies in Evolutionary Spatial N-Player
Prisoner Dilemmas (Page
59) A
Linear Time Natural Evolution Strategy for Non-Separable Functions (Page
61) | ||||||
| (Return to Top) | Evolutionary Combinatorial Optimization and Metaheuristics A
Hybrid Genetic Algorithm with Local Search Approach for E/T Scheduling
Problems on Identical Parallel Machines (Page
63) Dimension
Reduction in the Search for Online Bin Packing Policies (Page
65) Characterising
Fitness Landscapes Using Predictive Local Search (Page
67) Bio-Inspired
and Evolutionary Algorithms Applied to a Bi-Objective Network Design
Problem (Page 69) A
Set-Based Locally Informed Discrete Particle Swarm Optimization (Page
71) A
Hybrid Evolutionary Simulated Annealing Algorithm with Incorporation
of Preferences (Page
73) An
Approach to Solve Winner Determination in Combinatorial Reverse Auctions
Using Genetic Algorithms (Page
75) A
Statistical Study of Discrete Differential Evolution Approaches for
the Capacitated Vehicle Routing Problem (Page
77) | ||||||
| (Return to Top) | Biased
Random-Key Genetic Algorithm for Linearly-Constrained Global Optimization (Page
79) Simulated
Annealing Based Resource Allocation for Cloud Data Centers (Page
81) On
Composing an (Evolutionary) Algorithm Portfolio (Page
83) | ||||||
| (Return to Top) | Evolutionary Multiobjective Optimization Population
Size and Scalability in the AεSεH Evolutionary Many-Objective
Algorithm (Page
85) Improving
Uniformity of Solution Spacing in Biobjective Evolution (Page
87) Influence
of Relaxed Dominance Criteria in Multiobjective Evolutionary Algorithms (Page
89) MOEA
for Clustering: Comparison of Mutation Operators (Page
91) A
Memetic Algorithm for Multiobjective Problems (Page
93) Finding
a Diverse Set of Decision Variables in Evolutionary Many-Objective Optimization (Page
95) Multiobjectivization
for Classifier Parameter Tuning (Page
97) Exploring
Some Scalarization Techniques for EMOAs (Page
99) Preference-Inspired
Co-Evolutionary Algorithm Using Weights for Many-Objective Optimization (Page
101) Optimization
of Assignment of Tasks to Teams Using Multi-Objective Metaheuristics (Page
103) | ||||||
| (Return to Top) | Generative and Developmental Systems Mixed
Geometric-Topological Representation for Electromechanical Design (Page
105) Morphogen-Based
Self-Generation of Evolving Artificial Multicellular Structures with
Millions of Cells (Page
107) Extending
the Growing Point Language to Self-Organise Patterns in Three Dimensions (Page
109) Artificial
Development of Connections in SHRUTI Networks Using a Multi-Objective
Genetic Algorithm (Page
111) | ||||||
| (Return to Top) | An
Efficient Constraint Handling Approach for Optimization Problems with
Limited Feasibility and Computationally Expensive Constraint Evaluations (Page
113) An
EA for Portfolio Selection over Multiple Investment Periods with Exponential
Transaction Costs (Page
115) Coevolution
of Rules and Topology in Cellular Automata (Page
117) Evolutionary
Algorithms for the Detection of Structural Breaks in Time Series (Page
119) A
Novel Pheromone-Based Evolutionary Algorithm for Solving Degree-Constrained
Minimum Spanning Tree Problem (Page
121) Differential
Evolution Enhanced with Evolution Path Vector (Page
123) A
Priority Based Parental Selection Method for Genetic Algorithm (Page
125) An
Overlapping Variable Linkage Benchmark Suite (Page
127) Automated
Abstract Planning with Use of Genetic Algorithms (Page
129) An
Attraction Basin Estimating Genetic Algorithm for Multimodal Optimization (Page
131) | ||||||
| (Return to Top) | Segment-Based
Genetic Programming (Page
133) Comparing
Ensemble Learning Approaches in Genetic Programming for Classification
with Unbalanced Data (Page
135) An
Efficient Implementation of Geometric Semantic Genetic Programming for
Anticoagulation Level Prediction in Pharmacogenetics (Page
137) An
Evolutionary Methodology for Automatic Design of Finite State Machines (Page
139) Bootstrapping
to Reduce Bloat and Improve Generalisation in Genetic Programming (Page
141) Automatic
Identification of Hierarchy in Multivariate Data (Page
143) Numerical
Optimization by Multi-Gene Genetic Programming (Page
145) Function
Optimization Using Cartesian Genetic Programming (Page
147) Guiding
Function Set Selection in Genetic Programming Based on Fitness Landscape
Analysis (Page
149) Towards
a Dynamic Benchmark for Genetic Programming (Page
151) | ||||||
| (Return to Top) | Genetics Based Machine Learning Imprecise
Selection and Fitness Approximation in a Large-Scale Evolutionary Rule
Based System for Blood Pressure Prediction (Page
153) Extended
Rule-Based Genetic Network Programming (Page
155) Adaptive
Artificial Datasets to Discover the Effects of Domain Features for Classification
Tasks (Page 157) Label
Free Change Detection on Streaming Data with Cooperative Multi-Objective
Genetic Programming (Page
159) Flat
vs. Symbiotic Evolutionary Subspace Clusterings (Page
161) | ||||||
| (Return to Top) | Integrative Genetic and Evolutionary Computation A
New Data Pre-Processing Approach for the Dendritic Cell Algorithm Based
on Fuzzy Rough Set Theory (Page
163) A
Fuzzy Evolutionary Simulation Model (FESModel) for Fleet Combat Strategies (Page
165) 3DMIA:
A Multi-Objective Artificial Immune Algorithm for 3D-MPSoC Multi-Application
3D-NoC Mapping (Page
167) | ||||||
| (Return to Top) | Towards
a Scalable Intrusion Detection System Based on Parallel PSO Clustering
Using MapReduce (Page
169) Understanding
the Efficient Parallelisation of Cellular Automata on CPU and GPGPU
Hardware (Page
171) Dynamic
Selection of Migration Flows in Island Model Differential Evolution (Page
173) | ||||||
| (Return to Top) | The
Discovery and Quantification of Risk in High Dimensional Search Spaces (Page
175) Improving
Recruitment Effectiveness Using Genetic Programming Techniques (Page
177) Multi-Dimensional
Pattern Discovery in Financial Time Series Using SAX-GA with Extended
Robustness (Page
179) Tool
Sequence Optimisation Using Preferential Multi-Objective Search (Page
181) Partitioning
Agents and Shaping Their Evaluation Functions in Air Traffic Problems
with Hard Constraints (Page
183) Aero
Engine Health Management System Architecture Design Using Multi-Criteria
Optimization (Page
185) Multiobjective
Optimization for Reducing Delays and Congestion in Air Traffic Management (Page
187) Self-Adaptive
Niching Differential Evolution and Its Application to Semi-Fragile Watermarking
for Two-Dimensional Barcodes on Mobile Phone Screen (Page
189) Evolving
Cryptographically Sound Boolean Functions (Page
191) Incorporating
Emissions Models within a Multi-Objective Vehicle Routing Problem (Page
193) A
Multi-Agent Genetic Algorithm for Resource Constrained Project Scheduling
Problems (Page
195) | ||||||
| (Return to Top) | Search-Based Software Engineering Using
Portfolio Theory to Diversify the Dynamic Allocation of Web Services
in the Cloud (Page
197) Search-Based
Construction of Finite-State Machines with Real-Valued Actions: New
Representation Model (Page
199) Multi-Objective
Evolutionary Auto-Tuning for Optimising Algorithm Speed and Cache Memory
Usage (Page 201) Self-Focusing
Genetic Programming for Software Optimisation (Page
203) Search-Based
Refactoring Detection (Page
205) Applying
Genetic Algorithms to Data Selection for SQL Mutation Analysis (Page
207) A
Novel Component Identification Approach Using Evolutionary Programming (Page
209) Automated
Test Generation for Multi-State Systems (Page
211) | ||||||
| (Return to Top) | Evolutionary
Generation of Neural Network Update Signals for the Topology Optimization
of Structures (Page
213) Parameter
Control: Strategy or Luck? (Page
215) Math
Oracles: A New Way of Designing Efficient Self-Adaptive Algorithms (Page
217) Evolutionary
Hyperheuristic for Capacitated Vehicle Routing Problem (Page
219) Algorithm
Configuration Using GPU-Based Metaheuristics (Page
221) | ||||||
Noisy
Optimization Convergence Rates (Page
223) | |||||||
| (Return to Top) | Introduction
to Genetic Algorithms (Page
225) Genetic
Programming: A Tutorial Introduction (Page
247) Evolution
Strategies: Basic Introduction (Page
265) Evolutionary
Computation: A Unified Approach (Page
293) GECCO
2013 Tutorial on Evolutionary Multiobjective Optimization (Page
307) Representations
for Evolutionary Algorithms (Page
335) Evolving
Neural Networks (Page
357) Model-Based
Evolutionary Algorithms (Page
377) An
Introduction to Statictics for Experimental Analysis (Page
405) Learning
Classifier Systems: Introducing the User-Friendly Textbook (Page
439) Runtime
Analysis of Evolutionary Algorithms: Basic Introduction (Page
469) | ||||||
| (Return to Top) | Tutorial
CMA-ES - Evolution Strategies and Covariance Matrix Adaptation (Page
499) Constraint-Handling
Techniques Used with Evolutionary Algorithms (Page
521) Elementary
Landscapes: Theory and Applications (Page
545) Bioinspired
Computation in Combinatorial Optimization - Algorithms and Their Computational
Complexity (Page
567) Fitness
Landscapes and Graphs: Multimodularity, Ruggedness and Neutrality (Page
591) Black-Box
Complexity: From Complexity Theory to Playing Mastermind (Page
617) Advances
on Many-Objective Evolutionary Optimization (Page
641) Evolutionary
Computation for Dynamic Optimization Problems (Page
667) | ||||||
| (Return to Top) | Specialized Techniques and Applications Tutorials Expressive
Genetic Programming (Page
683) GECCO
2013 Tutorial: Cartesian Genetic Programming (Page
715) Large
Scale Data Mining Using Genetics-Based Machine Learning (Page
741) Introduction
to Evolutionary Game Theory (Page
765) Artificial
Immune Systems for Optimisation (Page
779) Generative
and Developmental Systems (Page
797) Evolutionary
Computation for Supervised Learning (Page
827) Differential
Evolution: Recent Advances (Page
845) Evolutionary
Bilevel Optimization (Page
877) Automatic
(Offline) Configuration of Algorithms (Page
893) Designing
and Building Powerful, Inexpensive Robots for Evolutionary Research (Page
919) Industrial
Applications of Evolutionary Algorithms (Page
935) Computational
Intelligence in Games (Page
957) How
to Create Meaningful and Generalizable Results (Page
979) Computational
Aesthetic Evaluation: Automated Fitness Functions for Evolutionary Art,
Design, and Music (Page
1005) | ||||||
| (Return to Top) | Workshop on Problem Understanding and Real-World Optimisation Workshop
on Problem Understanding and Real-World Optimisation Chair's Welcome (Page
1045) A
Behavior-Based Analysis of Modal Problems (Page
1047) Problem
Understanding Through Landscape Theory (Page
1055) EA-Based
Parameter Tuning of Multimodal Optimization Performance by Means of
Different Surrogate Models (Page
1063) Recent
Advances in Problem Understanding: Changes in the Landscape a Year On (Page
1071) Missing
from the Model: Orders, Drivers, Tractors and Trailers and Non-Linear
Loading (Page 1079) Search
Methodologies in Real-World Software Engineering (Page
1085) Liger
- An Open Source Integrated Optimization Environment (Page
1089) Using
Graphical Information Systems to Improve Vehicle Routing Problem Instances (Page
1097) Challenges
of Applying Optimization Methodology in Industry (Page
1103) | ||||||
| (Return to Top) | Symbolic Regression and Modeling Workshop 5th
Workshop on Symbolic Regression and Modeling at GECCO-2013: Chairs'
Welcome (Page 1105) An
Interpolation Based Crossover Operator for Genetic Programming (Page
1107) A
Bootstrapping Approach to Reduce Over-Fitting in Genetic Programming (Page
1113) Effects
of Constant Optimization by Nonlinear Least Squares Minimization in
Symbolic Regression (Page
1121) An
Extension of Hill-Climbing with Learning Applied to a Symbolic Regression
of Boolean Functions (Page
1129) | ||||||
| (Return to Top) | Black Box Optimization Benchmarking 2013 (BBOB 2013) GECCO'13
Black-Box Optimization Benchmarking: Workshop Chairs' Welcome Message (Page
1135) Adapt-MEMPSODE:
A Memetic Algorithm with Adaptive Selection of Local Searches (Page
1137) Benchmarking
a Hybrid Multi Level Single Linkage Algorithm on the BBOB Noiseless
Testbed (Page 1145) Comparison
of Multistart Global Optimization Algorithms on the BBOB Noiseless Testbed (Page
1153) | ||||||
| (Return to Top) | Bounding
the Population Size of IPOP-CMA-ES on the Noiseless BBOB Testbed (Page
1161) Testing
the Impact of Parameter Tuning on a Variant of IPOP-CMA-ES with a Bounded
Maximum Population Size on the Noiseless BBOB Testbed (Page
1169) BI-Population
CMA-ES Algorithms with Surrogate Models and Line Searches (Page
1177) Expensive
Optimization Scenario: IPOP-CMA-ES with a Population Bound Mechanism
for Noiseless Function Testbed (Page
1185) Benchmarking
Projection-Based Real Coded Genetic Algorithm on BBOB-2013 Noiseless
Function Testbed (Page
1193) Benchmarking
Cellular Genetic Algorithms on the BBOB Noiseless Testbed (Page
1201) An
Evaluation of Sequential Model-Based Optimization for Expensive Blackbox
Functions (Page
1209) Multiobjectivization
with NSGA-LI on the Noiseless BBOB Testbed (Page
1217) Benchmarking
the Local Metamodel CMA-ES on the Noiseless BBOB'2013 Test Bed (Page
1225) | ||||||
| (Return to Top) | Sixteenth International Workshop on Learning Classifier Systems GECCO'13
Welcome to the Sixteenth International Workshop on Learning Classifier
Systems (LWLCS) (Page
1233) Comparison
of Two Methods for Computing Action Values in XCS with Code-Fragment
Actions (Page 1235) Adaptive
Artificial Datasets Through Learning Classifier Systems for Classification
Tasks (Page 1243) REUCS-CRG:
Reduct based Ensemble of sUpervised Classifier System with Combinatorial
Rule Generation for Data Mining (Page
1251) A
Simple Multi-Core Parallelization Strategy for Learning Classifier System
Evaluation (Page
1259) Efficient
Training Set Use for Blood Pressure Prediction in a Large Scale Learning
Classifier System (Page
1267) The
Subsumption Mechanism for XCS Using Code Fragmented Conditions (Page
1275) | ||||||
| (Return to Top) | Evolutionary Computation Software Systems (EvoSoft'13) Evolutionary
Computation Software Systems (EvoSoft) Workshop Chairs' Welcome (Page
1283) HH-Evolver:
A System for Domain-Specific, Hyper-Heuristic Evolution (Page
1285) GraphEA:
A 3D Educational Tool for Genetic Algorithms (Page
1293) EvoSpace-i:
A Framework for Interactive Evolutionary Algorithms (Page
1301) Event-Based
Graphical Monitoring in the EpochX Genetic Programming Framework (Page
1309) HH-DSL:
A Domain Specific Language for Selection Hyper-heuristics (Page
1317) Goldenberry:
EDA Visual Programming in Orange (Page
1325) GPDL:
A Framework-Independent Problem Definition Language for Grammar-Guided
Genetic Programming (Page
1333) Developing
Services in a Service Oriented Architecture for Evolutionary Algorithms (Page
1341) | ||||||
| (Return to Top) | Visualisation in Genetic and Evolutionary Computation Visualisation
in Genetic and Evolutionary Computation (VizGEC 2013) (Page
1349) Visualization
of Genetic Lineages and Inheritance Information in Genetic Programming (Page
1351) Signaling
and Visualization for Interactive Evolutionary Search and Selection
of Conceptual Solutions (Page
1359) An
Approach to Visualizing the 3D Empirical Attainment Function (Page
1367) Evolutionary
Visual Exploration: Experimental Analysis of Algorithm Behaviour (Page
1373) | ||||||
| (Return to Top) | Evolutionary Computation and Multi-Agent Systems and Simulation (ECoMASS) Seventh Annual Workshop ECoMASS
2013 Workshop Welcome Message (Page
1381) Template
Based Evolution (Page
1383) Adaptation
of a Multiagent Evolutionary Algorithm to NK Landscapes (Page
1391) Simulating
the Cultural Evolution of Literary Genres (Page
1399) Evolutionary
Algorithm for Optimal Anchor Node Placement to Localize Devices in a
Mobile Ad Hoc Network During Building Evacuation (Page
1407) Topology
of Social Networks and Efficiency of Collective Intelligence Methods (Page
1415) Interaction-Based
Group Identity Detection via Reinforcement Learning and Artificial Evolution (Page
1423) The
Nexus Cognitive Agent-Based Model: Coevolution for Valid Computational
Social Modeling (Page
1431) An
Evolutionary Approach for Robust Adaptation of Robot Behavior to Sensor
Error (Page 1437) | ||||||
| (Return to Top) | Medical Applications of Genetic and Evolutionary Computation (MedGEC'13) GECCO
Workshop on Medical Applications - MedGEC 2013 Chairs' Welcome (Page
1445) Correlation
of Microarray Probes Give Evidence for Mycoplasma Contamination in Human
Studies (Page 1447) Segmentation
of Histological Images Using a Metaheuristic-Based Level Set Approach (Page
1455) Evolutionary
Identification of Cancer Predictors Using Clustered Data: A Case Study
for Breast Cancer, Melanoma, and Cancer in the Respiratory System (Page
1463) Skin
Lesion Image Segmentation Using a Color Genetic Algorithm (Page
1471) Characterisation
of Movement Disorder in Parkinson's Disease Using Evolutionary Algorithms (Page
1479) | ||||||
| (Return to Top) | 3rd Workshop on Evolutionary Computation for the Automated Design of Algorithms GECCO'13
3rd Workshop on Evolutionary Computation for the Automated Design of
Algorithms Chairs' Welcome (Page
1487) Using
Supportive Coevolution to Evolve Self-Configuring Crossover (Page
1489) Evolving
Black-Box Search Algorithms Employing Genetic Programming (Page
1497) Towards
a Method for Automatically Evolving Bayesian Network Classifiers (Page
1505) Refining
Scheduling Policies with Genetic Algorithms (Page
1513) | ||||||
| (Return to Top) | Green and Efficient Energy Applications of Genetic and Evolutionary Computation Workshop Green
and Efficient Energy Applications of Genetic and Evolutionary Computation
(GreenGEC 2013) (Page
1519) Short
Term Wind Speed Forecasting with Evolved Neural Networks (Page
1521) Genetic
Programming Enabled Evolution of Control Policies for Dynamic Stochastic
Optimal Power Flow (Page
1529) EvoNILM
- Evolutionary Appliance Detection for Miscellaneous Household Appliances (Page
1537) SA
Based Power Efficient FPGA LUT Mapping (Page
1545) Green
Cloud Virtual Network Provisioning Based Ant Colony Optimization (Page
1553) Modular
Approach for the Optimal Wind Turbine Micro Siting Problem through CMA-ES
Algorithm (Page
1561) | ||||||
| (Return to Top) | International Workshop on Evolutionary Computation in Bioinformatics Message
from the Bio 2013 Workshop Chairs (Page
1569) Designing
a Novel Hybrid Swarm Based Multiobjective Evolutionary Algorithm for
Finding DNA Motifs (Page
1571) A
Parallel Genetic Programming for Single Class Classification (Page
1579) A
Comparative Study on Distance Methods Applied to a Multiobjective Firefly
Algorithm for Phylogenetic Inference (Page
1587) Protein
Folding with Cellular Automata in the 3D HP Model (Page
1595) Prediction
of Protein Inter-Domain Linkers Using Compositional Index and Simulated
Annealing (Page
1603) An
Ant Colony Optimization Approach for Solving the Nuclear Magnetic Resonance
Structure Based Assignment Problem (Page
1609) DNA
Base-Code Generation for Reliable Computing by Using Standard Multi-Objective
Evolutionary Algorithms (Page
1617) | ||||||
| (Return to Top) | Stack-based Genetic Programming Workshop GECCO'13
Stack-Based Genetic Programming Workshop Chairs' Welcome (Page
1625) Evolving
a Digital Multiplier with the PushGP Genetic Programming System (Page
1627) Push-Forth:
A Light-Weight, Strongly-Typed, Stack-Based Genetic Programming Language (Page
1635) Welcome
to the GECCO'13 Student Workshop (Page
1641) An
Evolutionary Algorithm Derived from Charles Sanders Pierce's Theory
of Universal Evolution (Page
1643) Towards
Optimal Neuronal Wiring Through Estimation of Distribution Algorithms (Page
1647) | ||||||
| (Return to Top) | Problems
in the Identification of Base Isolation Systems from Earthquake Records (Page
1651) Generation
of Tests for Programming Challenge Tasks Using Multi-Objective Optimization (Page
1655) Enhancing
Invasive Weed Optimization with Taboo Strategy (Page
1659) A
Service Oriented Evolutionary Architecture: Applications and Results (Page
1663) Combinatorial
Optimization EDA Using Hidden Markov Models (Page
1667) Design
of a Parallel Immune Algorithm Based on the Germinal Center Reaction (Page
1671) From
Size Perception to Counting: An Evolutionary Computation Point of View (Page
1675) Testing
of the Multi-Objective Alliance Algorithm on Benchmark Functions (Page
1679) Quantitative
Analysis of the Hall of Fame Coevolutionary Archives (Page
1683) Genetic
Participatory Algorithm and System Modeling (Page
1687) Optimization
of Weighted Vector Directional Filters Using an Interactive Evolutionary
Algorithm (Page
1691) Applying
Evolutionary Computation to Harness Passive Material Properties in Robots (Page
1695) Directed
Search Method for Indicator-Based Multi-Objective Evolutionary Algorithms (Page
1699) Differential
Evolution Strategies with Random Forest Regression in the Bat Algorithm (Page
1703) Evolving
Multicellularity in Digital Organisms Through Reproductive Altruism (Page
1707) | ||||||
| (Return to Top) | An
Efficient Evolutionary Programming Algorithm Using Mixed Mutation Operators
for Numerical Optimization (Page
1711) Development
and Investigation of Biologically Inspired Algorithms Cooperation Metaheuristic (Page
1713) Model
Guided Sampling Optimization with Gaussian Processes for Expensive Black-Box
Optimization (Page
1715) Toward
an Optimized Arabic Keyboard Design for Single-Pointer Applications (Page
1717) Evolving
Artificial Neural Networks with FINCH (Page
1719) Performance
Improvement in Genetic Programming Using Modified Crossover and Node
Mutation (Page
1721) Adapting
Evolutionary Algorithms to the Concurrent Functional Language Erlang (Page
1723) Bipartite
Networks to Study the Genotype-to-Phenotype Relationship in Cellular
Automata Models (Page
1725) A
Heuristiclab Evolutionary Algorithm for Finch (Page
1727) | ||||||
| (Return to Top) | Hunting
Search Algorithm Based Design Optimization of Steel Cellular Beams (Page
1729) Optimizing
Investment Strategies based on Companies Earnings using Genetic Algorithms (Page
1731) Exploring
Automated Software Composition with Genetic Programming (Page
1733) Network
Protocol Identification Ensemble with EA Optimization (Page
1735) A
Robust Real-Coded Genetic Algorithm using an Ensemble of Crossover Operators (Page
1737) Quality
Versus Quantity of Rules in A Classifier Jury: extended abstract (Page
1739) | ||||||
| (Return to Top) | Which
Is Faster: Bowtie2GP > Bowtie > Bowtie2 > BWA (Page
1741) A
Novel Meta-Heuristic Based on Soccer Concepts to Solve Routing Problems (Page
1743) Sunspots
Modelling: Comparison of GP Approaches (Page
1745) Enhancing
Distributed EAs Using Proactivity (Page
1747) Fault-tolerance
of Distributed Genetic Algorithms on Many-core Processors (Page
1749) Parallel
Version of Self-Configuring Genetic Algorithm Application in Spacecraft
Control System Design (Page
1751) A
Preliminary Study of Crowding with Biased Crossover (Page
1753) A
Study on the Importance of Selection Pressure and Low Dimensional Weak
Learners to Produce Robust Ensembles (Page
1755) Indicator
Selection for Daily Equity Trading with Recurrent Reinforcement Learning (Page
1757) | ||||||
| (Return to Top) | Software
Engineering: An Ideal Set of Challenges for Evolutionary Computation (Page
1759) Challenges
and Opportunities in Dynamic Optimisation (Page
1761) |
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