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Papers Nominated for Best Paper Awards In 2002, ISGEC created a best paper award for GECCO. As part of the double blind peer review, the reviewers were asked to nominate papers for best paper awards. We continue the tradition this year. The Track Chairs, Editor in Chief, and the Conference Chair nominated the papers that received the most nominations and/or the highest evaluation scores for consideration by the conference. The winners are chosen by secret ballot of the GECCO attendees after the papers have been orally presented at the conference. Best Paper winners are posted on the conference website. The titles and authors of all nominated papers, as well as the page numbers where to find them in the Proceedings, are given below: |
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Ant Colony Optimization and Swarm Intelligence Track An
Incremental Ant Colony Algorithm with Local Search for Continuous Optimization (Page
125) |
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Artificial Life/Robotics/Evolvable Hardware Track Evolution
of Neural Symmetry and Its Coupled Alignment to Body Plan Morphology (Page
235) Digital
Enzymes: Agents of Reaction Inside Robotic Controllers for the Foraging
Problem (Page
243) Spontaneous
Evolution of Structural Modularity in Robot Neural Network Controllers:
Artificial Life/Robotics/Evolvable Hardware (Page
251) |
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| (Return to Top) | Bioinformatics, Computational, Systems, and Synthetic Biology Track A
Novel Probabilistic Encoding for EAs Applied to Biclustering of Microarray
Data (Page
339) A
Genetic Algorithm to Enhance Transmembrane Helices Prediction (Page
347) |
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Digital Entertainment Technologies and Arts Track Papers Interactively
Evolving Harmonies Through Functional Scaffolding (Page
387) Interactive
Evolution for the Procedural Generation of Tracks in a High-End Racing
Game (Page
395) |
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| (Return to Top) | Evolutionary Combinatorial Optimization and Metaheuristics Track Papers A
Cooperative Tree-Based Hybrid Ga-B&B Approach for Solving Challenging
Permutation-Based Problems (Page
513) An
Efficient Hierarchical Parallel Genetic Algorithm for Graph Coloring
Problem (Page
521) Evolving
Optimal Agendas for Package Deal Negotiation (Page
505) |
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Estimation of Distribution Algorithms Track Papers Advanced
Neighborhoods and Problem Difficulty Measures (Page
625) Hierarchical
Allelic Pairwise Independent Functions (Page
633) |
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| (Return to Top) | Evolutionary Multiobjective Optimization Track Papers Improved
S-CDAs Using Crossover Controlling the Number of Crossed Genes for Many-Objective
Optimization (Page
753) Many-Objective
Directed Evolutionary Line Search (Page
761) Convergence
of Hypervolume-Based Archiving Algorithms I: Effectiveness (Page
745) |
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| (Return to Top) | Evolution Strategies and Evolutionary Programming Track Papers Mirrored
Sampling in Evolution Strategies with Weighted Recombination (Page
861) Local-Meta-Model
CMA-ES for Partially Separable Functions (Page
869) |
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Generative and Developmental Systems Track Papers On
the Relationships Between Synaptic Plasticity and Generative Systems (Page
1531) Enhancing
ES-HyperNEAT to Evolve More Complex Regular Neural Networks (Page
1539) |
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| (Return to Top) | Genetic Algorithms Track Papers How
Crossover Helps in Pseudo-Boolean Optimization (Page
989) Pairwise
and Problem-Specific Distance Metrics in the Linkage Tree Genetic Algorithm (Page
1005) |
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Genetic Programming Track Papers Reassembling
Operator Equalisation - A Secret Revealed (Page
1395) Rethinking
Multilevel Selection in Genetic Programming (Page
1403) |
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| (Return to Top) | Genetics Based Machine Learning Track Papers Evolving
Spiking Networks with Variable Memristors (Page
1275) XCS
Cannot Learn All Boolean Functions (Page
1283) Modelling
the Initialisation Stage of the ALKR Representation for Discrete Domains
and GABIL Encoding (Page
1291) |
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Real World Applications Track Papers RankDE:
Learning a Ranking Function for Information Retrieval Using Differential
Evolution (Page
1771) Application
of Evolutionary Algorithms in Detecting SMS Spam at Access Layer (Page
1787) GPU-Accelerated
High-Accuracy Molecular Docking Using Guided Differential Evolution:
GECCO 2011 - Real World Applications (Page
1803) |
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| (Return to Top) | Search-Based Software Engineering Track Papers Searching
for Invariants Using Genetic Programming and Mutation Testing (Page
1907) Using
Multi-Objective Metaheuristics to Solve the Software Project Scheduling
Problem (Page
1915) Finding
Short Counterexamples in Promela Models Using Estimation of Distribution
Algorithms (Page
1923) |
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Policy
Matrix Evolution for Generation of Heuristics (Page
2011) Automatic
Configuration of State-of-the-art Multi-objective Optimizers Using the
TP+PLS Framework (Page
2019) |
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| (Return to Top) |
An
Analysis on Recombination in Multi-Objective Evolutionary Optimization (Page
2051) The
Effects of Selection on Noisy Fitness Optimization (Page
2059) |
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