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GECCO'15 Proceedings Table of Contents Welcome
from the General Chair A
Word from the Chair of SIGEVO GECCO 2015 Sponsor & Supporters |
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| (Return to Top) | TRACK: Ant Colony Optimization and Swarm Intelligence An
Improved Collaborative Filtering Recommendation Algorithm Based on Community
Detection in Social Networks (Page
1) Parameter
Estimation in Bayesian Networks Using Overlapping Swarm Intelligence (Page
9) Robustness
of Ant Colony Optimization to Noise (Page
17) The
Effect of Quantum and Charged Particles on the Performance of the Dynamic
Vector-Evaluated Particle Swarm Optimisation Algorithm (Page
25) |
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| (Return to Top) | Enhancing
IACO? Local Search by Mtsls1-BFGS for Continuous Global Optimization (Page
33) An
Ant Colony Optimizing Algorithm Based on Scheduling Preference for Maximizing
Working Time of Wireless Sensor Networks (Page
41) An
Ant Colony Optimization Based Memetic Algorithm for the Dynamic Travelling
Salesman Problem (Page
49) Particle
Swarm Optimization Based on Linear Assignment Problem Transformations (Page
57) |
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| (Return to Top) | Evolutionary
Inheritance Mechanisms for Multi-Criteria Decision Making in Multi-agent
Systems (Page 65) The
Impact of Centrality on Individual and Collective Performance in Social
Problem-Solving Systems (Page
73) Input-to-State
Stability Analysis on Particle Swarm Optimization (Page
81) A
Set-based Comprehensive Learning Particle Swarm Optimization with Decomposition
for Multiobjective Traveling Salesman Problem (Page
89) |
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| (Return to Top) | TRACK: Artificial Immune Systems and Artificial Chemistries An
Immuno-inspired Approach Towards Sentence Generation (Page
97) Distinguishing
Adaptive Search from Random Search in Robots and T Cells (Page
105) Securing
the Internet of Things with Responsive Artificial Immune Systems (Page
113) RAISTTP
Revisited to Solve Relaxed Travel Tournament Problem (Page
121) |
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| (Return to Top) | TRACK: Artificial Life/Robotics/Evolvable Hardware Evolving
Robot Morphology Facilitates the Evolution of Neural Modularity and
Evolvability (Page
129) Enhancing
a Model-Free Adaptive Controller Through Evolutionary Computation (Page
137) Novelty-Based
Evolutionary Design of Morphing Underwater Robots (Page
145) The
Effect of Fitness Function Design on Performance in Evolutionary Robotics:
The Influence of a Priori Knowledge (Page
153) |
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| (Return to Top) | Decentralized
Innovation Marking for Neural Controllers in Embodied Evolution (Page
161) Improving
Survivability in Environment-driven Distributed Evolutionary Algorithms
through Explicit Relative Fitness and Fitness Proportionate Communication (Page
169) Three-fold
Adaptivity in Groups of Robots: The Effect of Social Learning (Page
177) Finding
a Mate with No Social Skills (Page
185) Novelty
Search for Soft Robotic Space Exploration (Page
193) An
Embodied Approach for Evolving Robust Visual Classifiers (Page
201) |
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| (Return to Top) | TRACK: Biological and Biomedical Applications An
Analysis of Integration of Hill Climbing in Crossover and Mutation Operation
for EEG Signal Classification (Page
209) Evolution
Strategies for Exploring Protein Energy Landscapes (Page
217) Metabolic
Design and Engineering Through Ant Colony Optimization (Page
225) Evolutionary
Optimization of Cancer Treatments in a Cancer Stem Cell Context (Page
233) |
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| (Return to Top) | TRACK: Continuous Optimization A
Repair Method for Differential Evolution with Combined Variants to Solve
Dynamic Constrained Optimization Problems (Page
241) Towards
an Augmented Lagrangian Constraint Handling Approach for the (1+1)-ES (Page
249) Global
Line Search Algorithm Hybridized with Quadratic Interpolation and Its
Extension to Separable Functions (Page
257) Detecting
Funnel Structures by Means of Exploratory Landscape Analysis (Page
265) |
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| (Return to Top) | A
New Repair Method for Constrained Optimization (Page
273) A
CMA-ES with Multiplicative Covariance Matrix Updates (Page
281) Dichotomy
Guided Based Parameter Adaptation for Differential Evolution (Page
289) Towards
an Analysis of Self-Adaptive Evolution Strategies on the Noisy Ellipsoid
Model: Progress Rate and Self-Adaptation Response (Page
297) Sample
Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on
Importance Sampling (Page
305) Extended
Differential Grouping for Large Scale Global Optimization with Direct
and Indirect Variable Interactions (Page
313) |
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| (Return to Top) | TRACK: Digital Entertainment Technologies and Arts Interactively
Evolving Compositional Sound Synthesis Networks (Page
321) Darwin's
Avatars: A Novel Combination of Gameplay and Procedural Content Generation (Page
329) Open
Loop Search for General Video Game Playing (Page
337) Solving
Interleaved and Blended Sequential Decision-Making Problems through
Modular Neuroevolution (Page
345) Controlling
Crowd Simulations Using Neuro-Evolution (Page
353) |
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| (Return to Top) | TRACK: Evolutionary Combinatorial Optimization and Metaheuristics Hyperheuristics
Based on Parametrized Metaheuristic Schemes (Page
361) Global
vs Local Search on Multi-Objective NK-Landscapes: Contrasting the Impact
of Problem Features (Page
369) On
the Empirical Scaling Behaviour of State-of-the-art Local Search Algorithms
for the Euclidean TSP (Page
377) Approximate
Approaches to the Traveling Thief Problem (Page
385) |
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| (Return to Top) | A
Genetic Algorithm for Scheduling Electric Vehicle Charging (Page
393) Predicting
Heuristic Search Performance with PageRank Centrality in Local Optima
Networks (Page
401) Generator
Start-up Sequences Optimization for Network Restoration Using Genetic
Algorithm and Simulated Annealing (Page
409) A
Sequence-based Selection Hyper-heuristic Utilising a Hidden Markov Model (Page
417) Evaluation
of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of
a Vehicle (Page
425) |
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| (Return to Top) | A
Dispatching Rule Based Genetic Algorithm for Order Acceptance and Scheduling (Page
433) Minimizing
Regular Objectives for Blocking Permutation Flow Shop Scheduling: Heuristic
Approaches (Page
441) Tunnelling
Crossover Networks (Page
449) Fighting
the Symmetries: The Structure of Cryptographic Boolean Function Spaces (Page
457) |
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| (Return to Top) | On
the Impact of Local Search Operators and Variable Neighbourhood Search
for the Generalized Travelling Salesperson Problem (Page
465) Towards
the User Equilibrium in Traffic Assignment Using GRASP with Path Relinking (Page
473) Guiding
Evolutionary Search with Association Rules for Solving Weighted CSPs (Page
481) A
Novel Diversity-Based Evolutionary Algorithm for the Traveling Salesman
Problem (Page 489) A
Visual Method for Analysis and Comparison of Search Landscapes (Page
497) |
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| (Return to Top) | TRACK: Estimation of Distribution Algorithms Kernels
of Mallows Models for Solving Permutation-Based Problems (Page
505) Simplified
Runtime Analysis of Estimation of Distribution Algorithms (Page
513) Optimization
by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted
/ Back Mixing: DSMGA-II (Page
519) An
Estimation of Distribution Algorithm Based on the Natural Gradient and
the Boltzmann Distribution (Page
527) Theoretical
Perspective of Convergence Complexity of Evolutionary Algorithms Adopting
Optimal Mixing (Page
535) |
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| (Return to Top) | TRACK: Evolutionary Machine Learning Ant
Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian
Network Learning (Page
543) Genetically-Regulated
Neuromodulation Facilitates Multi-Task Reinforcement Learning (Page
551) Simpler
is Better: A Novel Genetic Algorithm to Induce Compact Multi-Label Chain
Classifiers (Page
559) |
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| (Return to Top) | High-Dimensional
Function Approximation for Knowledge-Free Reinforcement Learning: A
Case Study in SZ-Tetris (Page
567) Subspace
Clustering Using Evolvable Genome Structure (Page
575) Multiple
Imputation for Missing Data Using Genetic Programming (Page
583) Retooling
Fitness for Noisy Problems in a Supervised Michigan-style Learning Classifier
System (Page 591) |
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| (Return to Top) | TRACK: Evolutionary Multiobjective Optimization A
PSO Approach to Semivectorial Bilevel Programming: Pessimistic, Optimistic
and Deceiving Solutions (Page
599) Characterizing
Pareto Front Approximations in Many-Objective Optimization (Page
607) Multi-objective
Optimization with Dynamic Constraints and Objectives: New Challenges
for Evolutionary Algorithms (Page
615) Finding
the Trade-off Between Robustness and Worst-case Quality (Page
623) |
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| (Return to Top) | Obtaining
Optimal Pareto Front Approximations Using Scalarized Preference Information (Page
631) Benchmarking
Numerical Multiobjective Optimizers Revisited (Page
639) Fast
Implementation of the Steady-State NSGA-LI Algorithm for Two Dimensions
Based on Incremental Non-Dominated Sorting (Page
647) An
Approach to Mitigating Unwanted Interactions between Search Operators
in Multi-Objective Optimization (Page
655) |
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| (Return to Top) | MOEA/VAN:
Multiobjective Evolutionary Algorithm Based on Vector Angle Neighborhood (Page
663) Greedy
Hypervolume Subset Selection in the Three-Objective Case (Page
671) Improved
Metaheuristic Based on the R2 Indicator for Many-Objective Optimization (Page
679) Parallel
Multi-Objective Evolutionary Design of Approximate Circuits (Page
687) A
Study on Performance Evaluation Ability of a Modified Inverted Generational
Distance Indicator (Page
695) |
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| (Return to Top) | A
Performance Comparison Indicator for Pareto Front Approximations in
Many-Objective Optimization (Page
703) Improving
Robustness of Stopping Multi-objective Evolutionary Algorithms by Simultaneously
Monitoring Objective and Decision Space (Page
711) On
Maintaining Diversity in MOEA/D: Application to a Biobjective Combinatorial
FJSP (Page 719) Incorporating
User Preferences in MOEA/D through the Coevolution of Weights (Page
727) Analysis
of Objectives Relationships in Multiobjective Problems Using Trade-Off
Region Maps (Page
735) |
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| (Return to Top) | A
New Framework for Self-adapting Control Parameters in Multi-objective
Optimization (Page
743) Multi-Objective
BDD Optimization with Evolutionary Algorithms (Page
751) Empirical
Study of Multi-objective Ant Colony Optimization to Software Project
Scheduling Problems (Page
759) Improved
Sampling of Decision Space for Pareto Estimation (Page
767) |
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| (Return to Top) | An
Experimental Investigation of Variation Operators in Reference-Point
Based Many-Objective Optimization (Page
775) Injecting
CMA-ES into MOEA/D (Page
783) |
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| (Return to Top) |
A
Tensor Analysis Improved Genetic Algorithm for Online Bin Packing (Page
799) A
Genetic Algorithm to Solve a Real 2-D Cutting Stock Problem with Setup
Cost in the Paper Industry (Page
807) Money
for Nothing: Speeding Up Evolutionary Algorithms Through Better Initialization (Page
815) A
Genetic Algorithm for Searching the Shortest Lattice Vector of SVP Challenge (Page
823) Solving
Problems with Unknown Solution Length at (Almost) No Extra Cost (Page
831) |
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| (Return to Top) | Elitist
Black-Box Models: Analyzing the Impact of Elitist Selection on the Performance
of Evolutionary Algorithms (Page
839) Reconstructing
Cross-Cut Shredded Text Documents: A Genetic Algorithm with Splicing-Driven
Reproduction (Page
847) Gray-Box
Optimization Using the Parameter-less Population Pyramid (Page
855) Adaptive
Control of Parameter-Less Population Pyramid on the Local Distribution
of Inferior Individuals (Page
863) |
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| (Return to Top) | Evolutionary
Bilevel Optimization for Complex Control Tasks (Page
871) A
New Perspective on Channel Allocation in WLAN: Considering the Total
Marginal Utility of the Connections for the Users (Page
879) Parasite
Diversity in Symbiogenetic Multiset Genetic Algorithm - Optimization
of Large Binary Problems (Page
887) An
Empirical Analysis on Dimensionality in Cellular Genetic Algorithms (Page
895) |
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| (Return to Top) | Maintaining
2-Approximations for the Dynamic Vertex Cover Problem Using Evolutionary
Algorithms (Page
903) A
Clustering-Based Model-Building EA for Optimization Problems with Binary
and Real-Valued Variables (Page
911) A
Biased Random-key Genetic Algorithm for Placement of Virtual Machines
across Geo-Separated Data Centers (Page
919) Mk
Landscapes, NK Landscapes, MAX-kSAT: A Proof that the Only Challenging
Problems are Deceptive (Page
927) |
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| (Return to Top) | TRACK: Generative and Developmental Systems Evolving
Soft Robots in Tight Spaces (Page
935) Devising
Effective Novelty Search Algorithms: A Comprehensive Empirical Study (Page
943) Enhancing
Divergent Search through Extinction Events (Page
951) Innovation
Engines: Automated Creativity and Improved Stochastic Optimization via
Deep Learning (Page
959) Confronting
the Challenge of Quality Diversity (Page
967) |
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| (Return to Top) |
Evolutionary
Image Descriptor: A Dynamic Genetic Programming Representation for Feature
Extraction (Page
975) Building
Predictive Models via Feature Synthesis (Page
983) An
Efficient Structural Diversity Technique for Genetic Programming (Page
991) Geometric
Semantic Genetic Programming with Local Search (Page
999) |
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| (Return to Top) | Performance
Optimization of Multi-Core Grammatical Evolution Generated Parallel
Recursive Programs (Page
1007) A
Re-Examination of the Use of Genetic Programming on the Oral Bioavailability
Problem (Page 1015) Memetic
Semantic Genetic Programming (Page
1023) Strength
through Diversity: Disaggregation and Multi-Objectivisation Approaches
for Genetic Programming (Page
1031) |
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| (Return to Top) | General
Program Synthesis Benchmark Suite (Page
1039) A
GP-Based Video Game Player (Page
1047) Genetic
Programming with Epigenetic Local Search (Page
1055) Improving
CUDA DNA Analysis Software with Genetic Programming (Page
1063) Efficient
Evolution of High Entropy RNGS Using Single Node Genetic Programming (Page
1071) Impact
of Crossover Bias in Genetic Programming (Page
1079) |
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| (Return to Top) | GEFPSO:
A Framework for PSO Optimization Based on Grammatical Evolution (Page
1087) Correlation
Immunity of Boolean Functions: An Evolutionary Algorithms Perspective (Page
1095) On
the Bias of Syntactic Geometric Recombination in Genetic Programming
and Grammatical Evolution (Page
1103) Examining
the "Best of Both Worlds" of Grammatical Evolution (Page
1111) Using
Model Checking Techniques for Evaluating the Effectiveness of Evolutionary
Computing in Synthesis of Distributed Fault-Tolerant Programs (Page
1119) Multiple
Objective Vector-Based Genetic Programming Using Human-Derived Primitives (Page
1127) |
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| (Return to Top) | TRACK: Integrative Genetic and Evolutionary Computation Evolving
Strategies for Social Innovation Games (Page
1135) Knowledge
Transfer from Keepaway Soccer to Half-field Offense through Program
Symbiosis: Building Simple Programs for a Complex Task (Page
1143) A
Local Search Approach to Genetic Programming for Binary Classification (Page
1151) |
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| (Return to Top) | TRACK: Parallel Evolutionary Systems Fast
Knowledge Discovery in Time Series with GPGPU on Genetic Programming (Page
1159) Injection,
Saturation and Feedback in Meta-Heuristic Interactions (Page
1167) |
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| (Return to Top) | TRACK: Real World Applications A
Model with Evolutionary Covariance-based Learning for High-Frequency
Financial Forecasting (Page
1175) Evolutionary
Learning of Syntax Patterns for Genic Interaction Extraction (Page
1183) A
Closer Look at Differential Evolution for the Optimal Well Placement
Problem (Page 1191) An
Integrated Approach to Stage 1 Breast Cancer Detection (Page
1199) |
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| (Return to Top) | Evolving
Solutions to TSP Variants for Active Space Debris Removal (Page
1207) Finding
an Optimal Lego® Brick Layout of Voxelized 3D Object Using a Genetic
Algorithm (Page
1215) On
Evolutionary Approaches to Wind Turbine Placement with Geo-Constraints (Page
1223) Exploiting
Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution
Network Expansion Planning (Page
1231) Selecting
Best Investment Opportunities from Stock Portfolios Optimized by a Multiobjective
Evolutionary Algorithm (Page
1239) |
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| (Return to Top) | Diversity
Guided Evolutionary Mining of Hierarchical Process Models (Page
1247) Diversifying
Multi-Objective Gradient Techniques and Their Role in Hybrid Multi-Objective
Evolutionary Algorithms for Deformable Medical Image Registration (Page
1255) Efficient
Sampling of PI Controllers in Evolutionary Multiobjective Optimization (Page
1263) |
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| (Return to Top) | Using
Multi-Objective Artificial Immune Systems to Find Core Collections Based
on Molecular Markers (Page
1271) Genetic
Programming for Estimation of Heat Flux Between the Atmosphere and Sea
Ice in Polar Regions (Page
1279) Smart
Mobility Policies with Evolutionary Algorithms: The Adapting Info Panel
Case (Page 1287) A
Genetic Programming Approach to Cost-Sensitive Control in Resource Constrained
Sensor Systems (Page
1295) |
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| (Return to Top) | TRACK: Search-Based Software Engineering and Self-* Search Extracting
Variability-Safe Feature Models from Source Code Dependencies in System
Variants (Page
1303) Operator
Selection Using Improved Dynamic Multi-Armed Bandit (Page
1311) Learning
Feature-Parameter Mappings for Parameter Tuning via the Profile Expected
Improvement (Page
1319) |
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| (Return to Top) | Reducing
Energy Consumption Using Genetic Improvement (Page
1327) Optimal
Parameter Choices through Self-Adjustment: Applying the 1/5-th Rule
in Discrete Settings (Page
1335) A
Hyper-Heuristic for the Multi-Objective Integration and Test Order Problem (Page
1343) Web
Service Antipatterns Detection Using Genetic Programming (Page
1351) |
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| (Return to Top) | Heuristic
Model Checking Using a Monte-Carlo Tree Search Algorithm (Page
1359) Random
or Genetic Algorithm Search for Object-Oriented Test Suite Generation? (Page
1367) Deep
Parameter Optimisation (Page
1375) SPRINT
Multi-Objective Model Racing (Page
1383) |
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| (Return to Top) |
An
Evolutionary Game Theoretic Analysis of Difference Evaluation Functions (Page
1391) On
Easiest Functions for Somatic Contiguous Hypermutations and Standard
Bit Mutations (Page
1399) Populations
Can Be Essential in Dynamic Optimisation (Page
1407) Improved
Runtime Bounds for the (1+1) EA on Random 3-CNF Formulas Based on Fitness-Distance
Correlation (Page
1415) |
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| (Return to Top) | A
Tight Runtime Analysis of the (1+(lambda,lambda)) Genetic Algorithm on OneMax (Page
1423) OneMax
in Black-Box Models with Several Restrictions (Page
1431) Population
Size vs. Mutation Strength for the (1+lambda) EA on OneMax (Page
1439) On
the Utility of Island Models in Dynamic Optimization (Page
1447) First
Steps Towards a Runtime Comparison of Natural and Artificial Evolution (Page
1455) | ||||