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GECCO'15 Companion Table of Contents Welcome
from the General Chair A
Word from the Chair of SIGEVO GECCO 2015 Sponsor & Supporters |
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GECCO'15
Message from the Tutorials Chair (Page
1) |
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Genetic
Programming: A Tutorial Introduction (Page
3) Evolutionary
Computation: A Unified Approach (Page
21) Tutorial
on Evolutionary Multiobjective Optimization (Page
37) Particle
Swarm Optimization (Page
65) Model-Based
Evolutionary Algorithms (Page
93) |
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| (Return to Top) | Runtime
Analysis of Evolutionary Algorithms: Basic Introduction (Page
121) Evolving
Neural Networks (Page
137) Introduction
to Complex Networks (Page
163) Cartesian
Genetic Programming (Page
179) Hyper-Heuristics (Page
199) |
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| (Return to Top) | Tutorial
on Evolutionary Robotics (Page
231) Introducing
Rule-Based Machine Learning: A Practical Guide (Page
263) Multimodal
Optimization (Page
293) Continuous
Optimization and CMA-ES (Page
313) Representations
for Evolutionary Algorithms (Page
345) |
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Constraint-Handling
Techniques Used with Evolutionary Algorithms (Page
367) Blind
No More: Deterministic Partition Crossover and Deterministic Improving
Moves (Page 391) Expressive
Genetic Programming (Page
409) Parameterized
Complexity Analysis of Evolutionary Algorithms (Page
435) Theory
of Swarm Intelligence (Page
451) Evolutionary
Image Analysis, Signal Processing and Pattern Recognition (Page
473) |
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| (Return to Top) | Generative
and Developmental Systems Tutorial (Page
503) Evolutionary
Algorithms for Protein Structure Modeling (Page
533) Solving
Complex Problems with Coevolutionary Algorithms (Page
547) Theory
of Evolution Strategies and Related Algorithms (Page
575) Introduction
to Gene Regulatory Networks (Page
589) Semantic
Genetic Programming (Page
603) Evolutionary
Computation for Dynamic Optimization Problems (Page
629) |
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Medical
Applications of Evolutionary Computation (Page
651) Automatic
(Offline) Configuration of Algorithms (Page
681) Intelligent
Systems for Smart Cities (Page
707) Low
or no Cost Distributed Evolutionary Computation (Page
703) Synergies
between Evolutionary Algorithms and Reinforcement Learning (Page
723) |
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| (Return to Top) | Late-Breaking Abstracts (alphabetical order by lead author's last name) Late-Breaking
Abstracts Workshop at GECCO'15: Chair's Welcome (Page
741) Rapid
Evolution of Robot Gaits (Page
743) Probabilistic
Model Enhanced Genetic Algorithm for Multi-Mode Resource Constrained
Project Scheduling Problem (Page
745) Examining
the Stroop Effect Using a Develomental Spatial Neuroevolution System (Page
747) Various
Degrees of Steadiness in NSGA-II and Their Influence on the Quality
of Results (Page
749) |
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| (Return to Top) | Evolutionary
Approach for Minimizing Consumed Energy in a Personal Rapid Transit
Transportation System with a Multi-Depot Network Topology (Page
751) Comparing
Variable Width Backtracking and Metaheuristics, Experiments with the
Maximum Diversity Problem (Page
753) Design
and Development of a Genetic Algorithm for the Distance Constrained
Vehicle Routing Problem with Environmental Issues (Page
755) Malware
Obfuscation through Evolutionary Packers (Page
757) Adaptive
Evolution Control with P-I Similarity Index for Surrogate-assisted Evolutionary
Computation (Page
759) |
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| (Return to Top) | Evolved
Virtual Creatures with Soft-Body Muscles: On a Bio-Mimetic Path to Meaningful
Morphological Complexity (Page
761) Hybridizing
Genetic Algorithm with Cross Entropy for Solving Continuous Functions (Page
763) Developing
Multi-Time Frame Trading Rules with a Trend Following Strategy, Using
GA (Page 765) Generating
Easy and Hard Problems Using the Proximate Optimality Principle (Page
767) Computational
Matter: Evolving Computational Solutions in Materials (Page
769) |
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| (Return to Top) | Empirical
Scaling Analyser: An Automated System for Empirical Analysis of Performance
Scaling (Page 771) Parameter-less
Evolutionary Portfolio: First Experiments (Page
773) A
Parallel MOEA/D Generating Solutions in Minimum Overlapped Update Ranges
of Solutions (Page
775) A
Comparative Study of Synchronization of Parallel ACO on Multi-core Processor (Page
777) Evolving
Self-Adaptive Tabu Search Algorithm for Storage Location Assignment
Problems (Page
779) An
Improved Artificial Fish Swarm Algorithm in Image Segmentation Application (Page
781) |
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| (Return to Top) | Genetic Improvement 2015 Workshop Genetic
Improvement 2015 Chairs' Welcome (Page
791) GI4GI:
Improving Genetic Improvement Fitness Functions (Page
793) Evolutionary
Approximation of Software for Embedded Systems: Median Function (Page
795) Genetic
Improvement Using Higher Order Mutation (Page
803) Grow
and Graft a Better CUDA PKnotsRG for RNA pseudoknot Free Energy Calculation (Page
805) |
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| (Return to Top) | locoGP:
Improving Performance by Genetic Programming Java Source Code (Page
811) Energy
Optimisation via Genetic Improvement: A SBSE Technique for a New Era
in Software Development (Page
819) Genetic
Improvement of Energy Usage Is Only as Reliable as the Measurements
are Accurate (Page
821) Genetic
Improvement for Software Product Lines: An Overview and a Roadmap (Page
823) |
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| (Return to Top) | Embedded
Dynamic Improvement (Page
831) Removing
the Kitchen Sink from Software (Page
833) Embedding
Adaptivity in Software Systems Using the ECSELR Framework (Page
839) Rethinking
Genetic Improvement Programming (Page
845) Repairing
COTS Router Firmware without Access to Source Code or Test Suites: A
Case Study in Evolutionary Software Repair (Page
847) Fitness
as Task-Relevant Information Accumulation (Page
855) |
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SecDef'15
Chairs' Welcome (Page
857) Coevolutionary
Agent-based Network Defense Lightweight Event System (CANDLES) (Page
859) Using
Genetic Algorithms for Deadline-Constrained Monitor Selection in Dynamic
Computer Networks (Page
867) A
Hybrid Matheuristic Approach for Designing Reliable Wireless Multimedia
Sensor Networks (Page
875) A
Preliminary Investigation on the Identification of Peer to Peer Network
Applications (Page
883) Evolutionary
Dynamic Optimization Techniques for Marine Contamination Problem (Page
889) Botnet
Detection System Analysis: On the Effect of Botnet Evolution and Feature
Representation (Page
893) |
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Evolutionary
Computation in Computational Structural Biology 2015 Chairs' Welcome (Page
903) MeGASS:
Multi-Objective Genetic Active Site Search (Page
905) Combination
of Differential Evolution and Fragment-Based Replacements for Protein
Structure Prediction (Page
911) NK
Landscape Instances Mimicking the Protein Inverse Folding Problem Towards
Future Benchmarks (Page
915) |
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| (Return to Top) | Mapping
Multiple Minima in Protein Energy Landscapes with Evolutionary Algorithms (Page
923) An
Experimental Analysis of the Performance of Side Chain Packing Algorithms (Page
929) Using
Machine Learning to Explore the Relevance of Local and Global Features
During Conformational Search in Rosetta (Page
935) |
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Visualisation
in Genetic and Evolutionary Computation (VizGEC'15) Chairs' Welcome
& Organization (Page
939) Spatial
and Temporal Visualisation of Evolutionary Algorithm Decisions in Water
Distribution Network Optimisation (Page
941) ELICIT
- Evolutionary Computation Visualization (Page
949) Using
Particle Swarm Large-scale Optimization to Improve Sampling-based Image
Matting (Page 957) Visualising
Multi-Objective Populations with Treemaps (Page
963) |
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GECCO'15
Welcome to the International Workshop on Evolutionary Rule-Based Machine
Learning Workshop (IWERML) (Page
971) A
Novel Representation of Classifier Conditions Named Sensory Tag for
the XCS in Multistep Problems (Page
973) The
Relationship Between (Un)Fractured Problems and Division of Input Space (Page
981) A
Lexicographic Multi-Objective Genetic Algorithm for Multi-Label Correlation
Based Feature Selection (Page
989) |
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| (Return to Top) | Metaheuristics
Based on Clustering in a Holonic Multiagent Model for the Flexible Job
Shop Problem (Page
997) Discovering
Regression Rules with Ant Colony Optimization (Page
1005) An
Evolutionary Missing Data Imputation Method for Pattern Classification (Page
1013) Socially
Guided XCS: Using Teaching Signals to Boost Learning (Page
1021) Continuous
Endpoint Data Mining with ExSTraCS: A Supervised Learning Classifier
System (Page 1029) Back
to the Future: Learning Classifier Systems as Cognitive Systems (Page
1037) A
Potential of Evolutionary Rule-based Machine Learning for Real World
Applications (Page
1039) |
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ECADA'15
Chairs' Welcome (Page
1041) A
Comparison of Genetic Programming Variants for Hyper-Heuristics (Page
1043) Hyper-Heuristics:
A Study on Increasing Primitive-Space (Page
1051) Synthesis
of Parallel Iterative Sorts with Multi-Core Grammatical Evolution (Page
1059) Generating
Human-readable Algorithms for the Travelling Salesman Problem Using
Hyper-Heuristics (Page
1067) Learning
Genetic Representations for Classes of Real-Valued Optimization Problems (Page
1075) |
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Evolutionary
Computation Software Systems (EvoSoft) Chairs' Welcome (Page
1083) An
Extensible JCLEC-Based Solution for the Implementation of Multi-Objective
Evolutionary Algorithms (Page
1085) Redesigning
the jMetal Multi-Objective Optimization Framework (Page
1093) |
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| (Return to Top) | Simplifying
Problem Definitions in the HeuristicLab Optimization Environment (Page
1101) AntElements:
An Extensible and Scalable Ant Colony Optimization Middleware (Page
1109) Designing
and Modeling a Browser-Based Distributed Evolutionary Computation System (Page
1117) Deconstructing
GAs into Visual Software Components (Page
1125) |
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GECCO'15
Black-Box Optimization Benchmarking: Workshop Chairs' Welcome Message (Page
1133) Benchmarking
IPOP-CMA-ES-TPA and IPOP-CMA-ES-MSR on the BBOB Noiseless Testbed (Page
1135) Benchmarking
Gaussian Processes and Random Forests Surrogate Models on the BBOB Noiseless
Testbed (Page 1143) Dimension
Selection in Axis-Parallel Brent-STEPMethod for Black-Box Optimization
of Separable Continuous Functions (Page
1151) The
Impact of Initial Designs on the Performance of MATSuMoTo on the Noiseless
BBOB-2015 Testbed: A Preliminary Study (Page
1159) |
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GECCO'15
Student Workshop Chairs' Welcome (Page
1167) Differential
Evolution with a Repair Method to Solve Dynamic Constrained Optimization
Problems (Page
1169) Exploiting
the Relationship Between Structural Modularity and Sparsity for Faster
Network Evolution (Page
1173) Selection
of Auxiliary Objectives with Multi-Objective Reinforcement Learning (Page
1177) A
Computational Comparison of Memetic Differential Evolution Approaches (Page
1181) |
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| (Return to Top) | Inferring
Temporal Properties of Finite-State Machine Models with Genetic Programming (Page
1185) Towards
a Knowledge Base for Performance Data: A Formal Model for Performance
Comparison (Page
1189) Soft
Computing Techniques Applied to Corporate and Personal Security (Page
1193) Evolutionary
Design via Indirect Encoding of Non-Uniform Rational Basis Splines (Page
1197) Control
of Crossed Genes Ratio for Directed Mating in Evolutionary Constrained
Multi-Objective Optimization (Page
1201) |
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| (Return to Top) | A
Hybrid MOGA-CSP for Multi-UAV Mission Planning (Page
1205) Evaluation-Time
Bias in Asynchronous Evolutionary Algorithms (Page
1209) On
the Selection of Decomposition Methods for Large Scale Fully Non-Separable
Problems (Page
1213) Symbolic
Regression by Grammar-based Multi-Gene Genetic Programming (Page
1217) Growing
and Evolving Vibrationally Actuated Soft Robots (Page
1221) |
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| (Return to Top) | A
Method Based on Interactive Evolutionary Computation for Increasing
the Effectiveness of Advertisement Texts (Page
1225) Hard
Test Generation for Maximum Flow Algorithms with the Fast Crossover-Based
Evolutionary Algorithm (Page
1229) An
Evolutionary Algorithm for Weighted Graph Coloring Problem (Page
1233) |
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ECBR'15
Chairs' Welcome (Page
1237) The
Cost of Communication: Environmental Pressure and Survivability in mEDEA (Page
1239) Embodied
Evolution for Collective Indoor Surveillance and Location (Page
1241) Collective
Sharing of Knowledge in a DREAM (Page
1243) |
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| (Return to Top) | Evolving
Diverse Collective Behaviors Independent of Swarm Density (Page
1245) Elements
of Embodied Evolutionary Robotics (Page
1247) Simulating
Morphological Evolution in Large Robot Populations (Page
1249) Hyb-CCEA:
Cooperative Coevolution of Hybrid Teams (Page
1251) Evolution
of Collective Behaviors by Minimizing Surprisal and by Micro-Macro Links (Page
1253) |
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MetaDeeP'15
Chairs' Welcome (Page
1255) Metaheuristic
Design Pattern: Preference (Page
1257) Metaheuristic
Design Pattern: Surrogate Fitness Functions (Page
1261) The
'Blackboard' Pattern for Metaheuristics (Page
1265) Two-B
or not Two-B? Design Patterns for Hybrid Metaheuristics (Page
1269) |
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SMGP'15
Chairs' Welcome (Page
1275) Introducing
Semantic-Clustering Selection in Grammatical Evolution (Page
1277) Wave:
Incremental Erosion of Residual Error (Page
1285) Greedy
Semantic Local Search for Small Solutions (Page
1293) Comparison
of Semantic-aware Selection Methods in Genetic Programming (Page
1301) |
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MedGEC'15
Chairs' Welcome (Page
1309) Feature
Set Optimization for Physical Activity Recognition Using Genetic Algorithms (Page
1311) Classification
of Two-Channel Signals By Means of Genetic Programming (Page
1319) Data-Based
Identification of Prediction Models for Glucose (Page
1327) A
Symbolic Regression Based Scoring System Improving Peptide Identifications
for MS Amanda (Page
1335) |
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Landscape
Properties of the 0-1 Knapsack Problem (Page
1343) Grammatical
Evolution for Identifying Wikipedia Taxonomies (Page
1345) Criteria
and Convergence Rates in Noisy Optimization (Page
1347) A
Combinatorial Genetic Algorithm for Computational Doping Based Material
Design (Page 1349) Investigation
of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary
Black-Box Optimization (Page
1351) |
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| (Return to Top) | Energy
Efficient Allocation and Scheduling for DVFS-Enabled Multicore Environments
Using a Multiobjective Evolutionary Algorithm (Page
1353) Herding
Evolutionary Algorithm (Page
1355) Improving
Test Coverage of Formal Verification Systems via Beam Search (Page
1357) A
Novelty Search-based Test Data Generator for Object-oriented Programs (Page
1359) A
Comparison Exercise on Parallel Evaluation of Rosenbrock Function (Page
1361) |
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| (Return to Top) | An
Improved Co-evolutionary Decomposition-based Algorithm for Bi-level
Combinatorial Optimization (Page
1363) Is
Global Sensitivity Analysis Useful to Evolutionary Computation? (Page
1365) Dynamically
Adding Sensors to the XCS in Multistep Problems: A Sensor Tagging Approach (Page
1367) On
the Automatic Generation of Efficient Parallel Iterative Sorting Algorithms (Page
1369) Genetic
C Programming with Probabilistic Evaluation (Page
1371) |
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| (Return to Top) | An
Empirical Comparison of Genetically Evolved Programs and Evolved Neural
Networks for Multi-Agent Systems Operating under Dynamic Environments (Page
1373) In
Search of Optimal Linkage Trees (Page
1375) Variance
Reduction in Population-Based Optimization: Application to Unit Commitment (Page
1377) Solving
Euclidean Steiner Tree Problems with Multi Swarm Optimization (Page
1379) Learning
from Demonstration for Distributed, Encapsulated Evolution of Autonomous
Outdoor Robots (Page
1381) |
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| (Return to Top) | Optimizing
Performance of L1 Cache Memory for Embedded Systems Driven by Differential
Evolution (Page
1383) A
Multi-Objective Evolutionary Algorithm for Rule-based Performance Optimization
at Software Architecture Level (Page
1385) Performance
Comparison of Ant Colony Algorithms for the Scheduling of Steel Production
Lines (Page 1387) Infeasibility
Driven Evolutionary Algorithm with the Anticipation Mechanism for the
Reaching Goal in Dynamic Constrained Inverse Kinematics (Page
1389) Insertion
of Artificial Individuals to Increase the Diversity of Multiobjective
Evolutionary Algorithms (Page
1391) |
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| (Return to Top) | Learning
Based Control of a Fuel Cell Turbine Hybrid Power System (Page
1393) Runtime
Analysis of Evolutionary Diversity Optimization and the Vertex Cover
Problem (Page 1395) Evolving
Smart Initial Layouts for Force-Directed Graph Drawing (Page
1397) Identification
of Switched Models in Non-Stationary Time Series Based on Coordinate-Descent
and Genetic Algorithm (Page
1399) Selection
Hyper-Heuristic Using a Portfolio of Derivative Heuristics (Page
1401) |
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| (Return to Top) | A
Memetic Algorithm for Protein Structure Prediction Based on Conformational
Preferences of Aminoacid Residues (Page
1403) New
Adaptive Selection Strategies for Distributed Adaptive Metaheuristic
Selection (Page
1405) A
Multimodal Optimization and Surprise Based Consensus Community Detection
Algorithm (Page
1407) Trading
Off Resource Utilization and Task Migrations in Dynamic Load-balancing (Page
1409) A
Comparative Study Use of OTL for Many-objective Optimization (Page
1411) |
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| (Return to Top) | An
Adaptive Method of Hungarian Mating Schemes in Genetic Algorithms (Page
1413) A
Search Based Approach Towards Robust Optimization in Software Product
Line Scoping (Page
1415) Enhancing
Incremental Ant Colony Algorithm for Continuous Global Optimization (Page
1417) Renumber
Coevolutionary Multiswarm Particle Swarm Optimization for Multi-Objective
Workflow Scheduling on Cloud Computing Environment (Page
1419) When
Hillclimbers Beat Genetic Algorithms in Multimodal Optimization (Page
1421) |
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| (Return to Top) | Multi-Objective
Optimization of Sensor Placement to Detect Contamination in Water Distribution
Networks (Page
1423) Heuristic
Search by Particle Swarm Optimization of Boolean Functions for Cryptographic
Applications (Page
1425) Averaged
Hausdorff Approximations of Pareto Fronts Based on Multiobjective Estimation
of Distribution Algorithms (Page
1427) Asynchronous
Parallel Evolutionary Algorithms: Leveraging Heterogeneous Fitness Evaluation
Times for Scalability and Elitist Parsimony Pressure (Page
1429) Estimating
and Predicting Average Likability on Computer-Generated Artwork Variants (Page
1431) |
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| (Return to Top) | Handling
Crossover Bias to Improve Diversity in Multiobjective Evolutionary Optimization (Page
1433) Wave:
A Genetic Programming Approach to Divide and Conquer (Page
1435) MOGCLA:
A Multi-Objective Genetic Clustering Algorithm for Large Data Analysis (Page
1437) A
Reliable and Computationally Cheap Approach for Finding Robust Optimal
Solutions (Page
1439) Avoiding
Overfitting in Symbolic Regression Using the First Order Derivative
of GP Trees (Page
1441) |
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| (Return to Top) | Fast
Pareto Front Approximation for Cloud Instance Pool Optimization (Page
1443) Using
Novelty-Biased GA to Sample Diversity in Graphs Satisfying Constraints (Page
1445) Social
Specialization of Space: Clustering Households on the French Riviera (Page
1447) On
the Model Selection of Bernoulli Restricted Boltzmann Machines Through
Harmony Search (Page
1449) A
Single Population Genetic Programming Based Ensemble Learning Approach
to Job Shop Scheduling (Page
1451) |
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| (Return to Top) | Imbalanced
Classification Using Genetically Optimized Random Forests (Page
1453) Selection
of Auxiliary Objectives in the Travelling Salesman Problem Using Reinforcement
Learning (Page
1455) Cartesian
Genetic Programming Approach for Generating Substitution Boxes of Different
Sizes (Page 1457) Denoising
Autoencoders for Fast Combinatorial Black Box Optimization (Page
1459) On
the Uselessness of Finite Benchmarks to Assess Evolutionary and Swarm
Methods (Page 1461) |
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| (Return to Top) | Explanation
of Stagnation at Points That Are Not Local Optima in Particle Swarm
Optimization by Potential Analysis (Page
1463) Exploiting
Evolutionary Computation in an Industrial Flow for the Development of
Code-Optimized Microprocessor Test Programs (Page
1465) A
Collaborative Strategy to Reduce Initial Setup Requirements of ParamILS
Using EvoCa (Page
1467) Using
Anti-Pheromone to Identify Core Objects for Multidimensional Knapsack
Problems: A Two-Step Ants Based Approach (Page
1469) Evolving
Neurocontrollers for the Control of Information Diffusion in Social
Networks (Page
1471) |
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| (Return to Top) | Evolutionary
Cross-Domain Hyper-Heuristics (Page
1473) Grid
Diversity Operator for Some Population-Based Optimization Algorithms (Page
1475) Multi-Objective
NM-Landscapes (Page
1477) An
Algebraic Differential Evolution for the Linear Ordering Problem (Page
1479) Potential-Field-Based
Unit Behavior Optimization for Balancing in Starcraft II (Page
1481) |
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| (Return to Top) | Momentum
Enhanced Neuroevolution (Page
1483) A
Novel Heuristic Generator for JSSP Using a Tree-Based Representation
of Dispatching Rules (Page
1485) Pyramidal
Neural Networks with Variable Receptive Fields Designed by Genetic Algorithms (Page
1487) A
Hybrid Particle Swarm Optimization for Solving Vehicle Routing Problem
with Time Windows (Page
1489) Evolutionary
Search for an Accurate Contour Segmentation in Histopathological Images (Page
1491) |
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| (Return to Top) | A
Note on Multi-Funnel Functions for Expensive Optimization Scenario (Page
1493) An
Effective Approach for Adapting the Size of Subcomponents in Large-Scale
Optimization with Cooperative Coevolution (Page
1495) A
Grid-facilitated AIS-based Network Scheme for Many (Page
1497) Recurrent
Cartesian Genetic Programming Applied to Series Forecasting (Page
1499) Automatic
Tuning of Standard PSO Versions (Page
1501) Multi-Modal
Employee Routing with Time Windows in an Urban Environment (Page
1503) |
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| (Return to Top) | Evolutionary
Approximation of Complex Digital Circuits (Page
1505) Classifying
Maritime Vessels from Satellite Imagery with HyperNEAT (Page
1507) Impact
of Speciation Heuristic on Crossover and Search in NEAT (Page
1509) Dimensionality
Reduction in Many-Objective Problems Combining PCA and Spectral Clustering (Page
1511) Crowdseeding
Robot Design (Page
1513) A
Dimension-Decreasing Particle Swarm Optimization Method for Portfolio
Optimization (Page
1515) |
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| (Return to Top) | Efficient
Sampling with Small Populations: A Genetic Algorithm Satisfying Detailed
Balance (Page 1517) Software
System for Container Vessel Stowage Planning Using Genetic Algorithm (Page
1519) The
Programming Game: Evaluating MCTS as an Alternative to GP for Symbolic
Regression (Page
1521) Enable
the XCS to Dynamically Learn Multiple Problems: A Sensor Tagging Approach (Page
1523) Complete
Multi-Objective Coverage with PaCcET (Page
1525) Model
Selection and Overfitting in Genetic Programming: Empirical Study (Page
1527) | ||||