Workshop Presentations Wednesday 8 July Graduate Student Workshop - - PDF document

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Workshop Presentations Wednesday 8 July Graduate Student Workshop - - PDF document

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Workshop Presentations Wednesday 8 July Graduate Student Workshop Preserving Population Diversity for the MultiObjective Vehicle Routing Problem with Time Windows Abel Garciaajera Diversity preservation, Similarity measures,

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Workshop Presentations Wednesday 8 July Graduate Student Workshop

Preserving Population Diversity for the MultiObjective Vehicle Routing Problem with Time Windows Abel Garciaajera

Diversity preservation, Similarity measures, Multiobjective optimization, Vehicle routing problem

  • Some Techniques to Deal with Manyobjective Problems

Antonio Lopez Jaimes, Carlos Coello Coello

Multiobjective optimization, manyobjective optimization, preference relations

  • Improving &SGAII with an Adaptive Mutation Operator

Arthur Gonçalves Carvalho, Aluizio F. R. Araujo

Evolutionary Multiobjective Optimization, Parameter Control, Adaptive Mutation Operator

  • Solving the Eltrut Problem with Hybrid Evolutionary Algorithms

Benjamin James Bush

Evolutionary Algorithms, Hybrid Evolutionary Algorithms, Eltrut, Turtle graphics, LOGO Turtle

  • An Exploration of Learning and Grammars in Grammatical Evolution

Erik Hemberg

Grammatical evolution, meta grammars, representation

  • Gene &etwork Inference using a Swarm Intelligence Framework

Kyriakos Kentzoglanakis, Matthew Poole

gene regulatory networks, inference, scalefree, ant colony optimization, particle swarm optimization, swarm intelligence

  • Multicolony Ant Colony Optimization for the &ode Placement Problem

Leonor Albuquerque Melo

node placement problem, ant colony optimization, multicolony

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Workshop Presentations Wednesday 8 July

Learnable Evolution Model Performance Impaired by Binary Tournament Survival Selection Mark Coletti

evolutionary computation, machine learning, cultural algorithms, learnable evolution model, function optimization

  • Combined Effect of the Direction of Information Transmission and the Spatiality over

Sustaining Cooperation Ivette C Martínez, Klaus Jaffe

cooperation, selfish herd, information transmission, spatial effects, complex networks

  • Rapid Prototyping Using Evolutionary Approaches: Part 1

ikhil Padhye, Subodh Kalia

Rapid Prototyping, Evolutionary Algorithms

  • Black Box Optimization Benchmarking (BBOB)

&oiseless Functions BlackBox Optimization: Evaluation of a Hybrid Particle Swarm with Differential Operators José Garcíaieto, Enrique Alba, Javier Apolloni

Benchmarking, Blackbox optimization, &oiseless Functions, Hybrid Algorithms, Particle Swarm, Differential Evolution

  • BBOB: &elderMead with Resize and Halfruns

Benjamin Doerr, Mahmoud Fouz, Martin Schmidt, Magnus Wahlstrom

Benchmarking, Blackbox optimization, Evolutionary computation

  • AMaLGaM IDEAs in &oiseless BlackBox Optimization Benchmarking

Peter A.. Bosman, Jörn Grahl, Dirk Thierens

Benchmarking, Blackbox optimization, Evolutionary computation

  • A Memetic Algorithm using Local Search Chaining forBlackBox Optimization Benchmarking

2009 for &oise Free Functions Daniel Molina, Manuel Lozano, Francisco Herrera

Evolutionary computation, Memetic Algorithms, Hybrid Metaheuristics, Blackbox optimization, Benchmarking

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Workshop Presentations Wednesday 8 July

BlackBox Optimization Benchmarking for &oiseless Function Testbed using an EDA and PSO Hybrid Mohammed ElAbd, Mohamed S. Kamel

Benchmarking, Blackbox Optimization, Evolutionary Computation, Particle Swarm Optimization, Estimation of Distribution Algorithms, Hybrid Algorithms

  • BlackBox Optimization Benchmarking for &oiseless Function Testbed using Particle Swarm

Optimization Mohammed ElAbd, Mohamed S. Kamel

Benchmarking, Blackbox Optimization, Evolutionary Computation, Particle Swarm Optimization

  • BlackBox Optimization Benchmarking for &oiseless Function Testbed using PSO_Bounds

Mohammed ElAbd, Mohamed S. Kamel

Benchmarking, Blackbox Optimization, Evolutionary Computation, Particle Swarm Optimization, Hybrid Algorithms

  • BlackBox Optimization Benchmarking: Results for the BayEDAcG Algorithm on the &oiseless

Function Testbed Marcus R Gallagher

Benchmarking, Blackbox optimization, Evolutionary computation

  • A Continuous Variable &eighbourhood Search Based on Specialised EAs: Application to the

&oiseless BBOBenchmark 2009 Carlos GarcíaMartínez, Manuel Lozano

Benchmarking, Blackbox optimization, Evolutionary computation, Hybrid metaheuristics, Variable neighbourhood search, Specialised evolutionary algorithms

  • A StigmergyBased Algorithm for BlackBox Optimization: &oiseless Function Testbed

Peter Korosec, Jurij Silc

Benchmarking, Blackbox optimization, Stigmergy

  • BlackBox Optimization Benchmarking of Prototype Optimization with Evolved Improvement

Steps for &oiseless Function Testbed Jiri Kubalik

Benchmarking, Blackbox optimization, Evolutionary computation, Stochastic local search

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Workshop Presentations Wednesday 8 July

BBOBBenchmarking a Simple Estimation of Distribution Algorithm with Cauchy Distribution Petr Posik

Benchmarking, Blackbox optimization, Local search, Estimationofdistribution algorithms, Evolutionary computation, Cauchy distribution

  • BBOBBenchmarking the DIRECT Global Optimization Algorithm

Petr Posik

Benchmarking, Blackbox optimization, Evolutionary computation, DIRECT, Global optimization

  • BBOBBenchmarking the Generalized Generation Gap Model with Parent Centric Crossover

Petr Posik

Benchmarking, Blackbox optimization, Evolutionary computation, Generalized generation gap, Parent centric crossover

  • BBOBBenchmarking Two Variants of the LineSearch Algorithm

Petr Posik

Benchmarking, Blackbox optimization, Evolutionary computation, Brent's method, fminbnd, STEP

  • BBOBBenchmarking the Rosenbrock's Local Search Algorithm

Petr Posik

Benchmarking, Blackbox optimization, Local search, Rosenbrock's algorithm, Evolutionary computation

  • Particle Swarm Hybridized with Differential Evolution:Black Box Optimization Benchmarking

for &oisy Functions José Garcíaieto, Enrique Alba, Javier Apolloni

Benchmarking, Blackbox optimization, &oisy Functions, Hybrid Algorithms, Particle Swarm, Differential Evolution

  • AMaLGaM IDEAs in &oisy BlackBox Optimization Benchmarking

Peter A.. Bosman, Jörn Grahl, Dirk Thierens

Benchmarking, Blackbox optimization, Evolutionary computation

  • A Memetic Algorithm using Local Search Chaining for BlackBox Optimization Benchmarking

2009 for &oisy Functions Daniel Molina, Manuel Lozano, Francisco Herrera

Evolutionary Computation, Memetic Algorithms, Hybrid Metaheuristics, Blackbox optimization

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Workshop Presentations Wednesday 8 July

A Continuous Variable &eighbourhood Search Based on Specialised EAs: Application to the &oisy BBOBenchmark 2009 Testbed Carlos GarcíaMartínez, Manuel Lozano

Benchmarking, Blackbox optimization, Evolutionary computation, Hybrid metaheuristics, Variable neighbourhood search, Specialised evolutionary algorithms

  • A StigmergyBased Algorithm for BlackBox Optimization: &oisy Function Testbed

Peter Korosec, Jurij Silc

Benchmarking, Blackbox optimization, Stigmergy

  • BlackBox Optimization Benchmarking: Results for the BayEDAcG Algorithm on the &oisy

Function Testbed Marcus R Gallagher

Benchmarking, Blackbox optimization, Evolutionary computation

  • Benchmarking a BIPopulation CMAES on the BBOB2009 Function Testbed

ikolaus Hansen

Benchmarking, Blackbox optimization, Evolutionary computation, CMAES

  • Benchmarking a BIPopulation CMAES on the BBOB2009 &oisy Testbed

ikolaus Hansen

Benchmarking, Blackbox optimization, Direct search, Evolutionary computation, CMAES

  • Benchmarking the &elderMead Downhill Simplex Algorithm With Many Local Restarts

ikolaus Hansen

Benchmarking, Blackbox optimization, Direct search, Evolutionary computation, CMAES

  • Benchmarking the BFGS Algorithm on the BBOB2009 Function Testbed

Raymond Ros

Benchmarking, Blackbox optimization, BFGS, Quasinewton

  • Benchmarking the BFGS Algorithm on the BBOB2009 &oisy Testbed

Raymond Ros

Benchmarking, Blackbox optimization, BFGS, Quasinewton

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Workshop Presentations Wednesday 8 July

Benchmarking the &EWUOA on the BBOB2009 Function Testbed Raymond Ros

Benchmarking, Blackbox optimization, Derivativefree optimization

  • Benchmarking the &EWUOA on the BBOB2009 &oisy Testbed

Raymond Ros

Benchmarking, Blackbox optimization, Derivativefree optimization

  • Benchmarking sepCMAES on the BBOB2009 Function Testbed

Raymond Ros

Benchmarking, Blackbox optimization, Evolutionary com putation, Covariance matrix adaptation, Evolution strategy

  • Benchmarking sepCMAES on the BBOB2009 &oisy Testbed

Raymond Ros

Benchmarking, Blackbox optimization, Evolutionary com putation, Covariance matrix adaptation, Evolution strategy

  • Benchmarking the (1+1) Evolution Strategy with OneFifth Success Rule on the BBOB2009

Function Testbed Anne Auger

Benchmarking, BlackBox optimization, Evolutionary Computation, Evolution Strategies, OneFifth success rule, adaptive search

  • Benchmarking the (1+1)ES with OneFifth Success rule on the BBOB2009 &oisy Testbed

Anne Auger

Benchmarking, BlackBox optimization, Evolutionary Computation

  • Benchmarking the (1+1)CMAES on the BBOB2009 Function Testbed

Anne Auger

Benchmarking, BlackBox optimization, Evolutionary Computation, CMAES

  • Benchmarking the (1+1)CMAES on the BBOB2009 &oisy Testbed

Anne Auger

Benchmarking, BlackBox optimization, Evolutionary Computation, CMAES

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Workshop Presentations Wednesday 8 July

Application of a simple binary genetic algorithm to a noiseless testbed benchmark Miguel icolau

Benchmarking, Blackbox optimization, Evolutionary Computation, Genetic algorithms

  • Benchmarking the Pure Random Search on the BBOB2009 Testbed

Anne Auger, Raymond Ros

Pure random search, Benchmarking, MonteCarlo, BlackBox optimization, Evolutionary Computation

  • Benchmarking the Pure Random Search on the BBOB2009 &oisy Testbed

Anne Auger, Raymond Ros

Benchmarking, Pure random search, BlackBox optimization, Evolutionary Computation, MonteCarlo

  • Computational Intelligence on Consumer Games and Graphics Hardware

(CIGPU) 2009

Evaluating the Cell Broadband Engine as a Platform to Run Estimation of Distribution Algorithms Carlos PerezMiguel, Jose MiguelAlonso, Alexander Mendiburu

Cell Broadband Engine, Estimation of Distribution Algorithms, Parallel programming

  • Evolving Soft Robotic Locomotion in PhysX

John Rieffel, Frank Saunders, Shilpa adimpalli, Harvey Zhou, Soha Hassoun, Jason Rife, Barry Trimmer

PhysX, soft robot, caterpillar

  • Parallel Latent Semantic Analysis using a Graphics Processing Unit

Joseph M Cavanagh, Thomas E Potok, Xiaohui Cui

GPU, Text Mining, Latent Semantic Indexing

  • A Fast High Quality Pseudo Random &umber Generator for nVidia CUDA

W B Langdon

GPU, GPGPU, Tesla, PR&G, ParkMiller

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Workshop Presentations Wednesday 8 July

Parallel MultiObjective Evolutionary Algorithms on Graphics Processing Units Man Leung Wong

MultiObjective Evolutionary Algorithms, Graphic Processing Units, Parallel Programming

  • Solving Quadratic Assignment Problems by Genetic Algorithms with GPU Computation: A

Case Study Shigeyoshi Tsutsui, oriyuki Fujimoto

Genetic Algorithm, Distributed Genetic Algorithm, Quadratic Assignment Problem, Parallel Computation, GPU Computation

  • Deployment of CPU and GPUbased Genetic Programming on Heterogeneous Devices

Garnett Wilson, Wolfgang Banzhaf

genetic programming, graphics processing unit, GPGPU, XBox 360, Zune, heterogeneous devices

  • Medical Applications of Genetic and Evolutionary Computation (MedGEC)

A Genetic Algorithm for Learning Significant Phrase Patterns in Radiology Reports Robert M Patton, Thomas E Potok, Barbara G Beckerman, Jim Treadwell

learning agents, multiagent system, genetic algorithm, information retrieval, maximum variation sampling, mammography reports

  • A Hybrid GAbased Fuzzy Classifying Approach to Urinary Analysis Modeling

Ping Wu, Erik D. Goodman, Tang Jiang, Min Pei

Urinalysis, Genetic Algorithms, Fuzzy Rule Learning, Feature Selection

  • A PSO/ACO Approach to Knowledge Discovery in a Pharmacovigilance Context

Margarita Sordo, Gabriela Ochoa, Shawn Murphy

Swarm Intelligence, Ant Algorithms., PSO/ACO, Knowledge Discovery, Genetic Based Machine Learning, Postmarketing Surveillance, Pharmacovigilance, Healthcare

  • Application of Quantum Genetic Algorithm on Breast Tumor Imaging with Microwave

Meng Yao, Qifeng Pan, Zhifu Tao

Breast Tumor Detection, HHT, Medical Imaging Reconstruction, Microwave Detection.

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Workshop Presentations Wednesday 8 July Evolutionary Computation and Multi-Agent Systems and Simulation (ECoMASS)

SelfOrganizing Economic Activity with Costly Information James A. Wilson, Liying Yan

multiagent based, intelligent agent, learning, selforganizing economic activity, costly information, learning classifier system, bounded rationality, competition and cooperation, complex adaptive system, fishery

  • Asynchronous Collaborative Search using Adaptive CoEvolving Subpopulations

Camelia Chira, Anca Gog, D. Dumitrescu

Evolutionary model, Adaptive population, Cellular Automata

  • Comparison of Sorting Algorithms for MultiFitness Measurement of Cooperative Coevolution

Min Shi

Cooperative coevolution, Multifitness measurement, &ondominating sorting, Evendistributed sorting, Function

  • ptimization
  • Self Organized MultiAgent Entangled Hierarchies for &etwork Security

Eric M Holloway, Gary B Lamont

Multiagents, Multiobjective Optimization, Cybercraft

  • The Game of Funding: Modelling Peer Review for Research Grants

Peter J Bentley

Agentbased modeling, simulation, peerreview, evolutionarily stable states

  • Undergraduate Student Workshop

Evolving Universal Hash Functions using Genetic Algorithms Mustafa Safdari

Universal Hash Functions, Genetic Algorithms, Key Distribution

  • Minimizing Total Completion Time in TwoMachine Flow Shops with Exact Delay Using

Genetic Algorithm & Ant Colony Algorithm Josh Glascock, Brian Hunter

Genetic Algorithm (GA), Ant Colony Optimization (ACO), Scheduling, Flow Shop

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Workshop Presentations Wednesday 8 July

Rapid Prototyping Using Evolutionary Approaches: Part 2 ikhil Padhye, Subodh Kalia

Rapid Prototyping, Evolutionary Algorithms

  • Relative Fitness Scaling for Improving Efficiency of Proportionate Selection in Genetic

Algorithms Surabhi Gupta

Genetic Algorithm, Power Law, Fitness Scaling, Fitnessproportionate selection

  • Evolving Stylized Images Using a UserInteractive Genetic Algorithm

Steve R Bergen

genetic algorithm, image generation, stylized, vector graphics, automatic evolution, evolutionary computation, art

  • Learning from Failures in Evolutionary Computation (LFFEC)

Reinforcement Learning for Games: Failures and Successes Wolfgang Konen, Thomas BartzBeielstein

Games, Learning, Failures, Evolution strategies

  • On the Limitations of Adaptive Resampling in using the Student's ttest Evolution Strategies

Johannes W. Kruisselbrink, Michael T.M. Emmerich, Thomas H.W. Baeck

Evolution Strategies, Adaptive Resampling, &oisy Objective Functions

  • Lessons Learned in Evolutionary Computation: 11 Steps to Success

Jörn Mehnen

Learning from Failures, Evolutionary Computation

  • A Series of Failed and Partially Successful Fitness Functions for Evolving Spiking &eural

&etworks

  • J. David Schaffer, Heike Sichtig, Craig Laramee

Evolutionary computation, genetic algorithms, spiking neural networks, fitness functions

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Student Party Wednesday 8 July 21:00 – ?

Ballroom, Thomson House, McGill University

  • For the first year, there will be a student party organized at GECCO. Although

specifically organized for graduate and undergraduate students, it is open to all GECCO attendees. This social event will be an excellent opportunity for students to meet colleagues and make friends involved in the same scientific field, in a casual setting. Location: Thomson House McGill University 3650 McTavish Admission is free. Pay for your own food and beverage.

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Workshop Presentations Thursday 9 July Automated Heuristic Design: Crossing the Chasm for Search Methods

Evolving HumanCompetitive Reusable 2D Strip Packing Heuristics Matthew Hyde, Edmund K Burke, Graham Kendall

Strip Packing, GP, HyperHeuristics, Heuristics

  • A Multilevel Search Framework for Asynchronous Cooperation of Multiple Hyperheuristics

Djamila Ouelhadj, Sanja Petrovic, Ender Ozcan

Hyperheuristics, cooperative search, multiagent systems, permutation flow shop scheduling

  • Using Performance Fronts for Parameter Setting of Stochastic Metaheuristics

Johann Dréo

Metaheuristics, Evolutionary Computation, MultiObjective Optimization, Performance Assessment, Parameter Setting

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Workshop Presentations Thursday 9 July

A Greedy Hyperheuristic in Dynamic Environments Ender Ozcan, Sima Etaner Uyar, Edmund Burke

Hyperheuristics, dynamic environments, adaptive, greedy, mutational heuristics, hill climbing

  • Towards the Decathlon Challenge of Search Heuristics

Edmund K. Burke, Tim Curtois, Graham Kendall, Matthew Hyde, Gabriela Ochoa, Jose A VazquezRodriguez

metaheuristics, hyperheuristics, combinatorial optimization, software framework

  • Learning and Using HyperHeuristics for Variable and Value Ordering in Constraint

Satisfaction Problems Sean A Bittle, Mark S Fox

Soar, Constrained Heuristic Search, Hyperheuristics, Variable and Value Ordering, Constraint Satisfaction

  • Extreme Dynamic MultiArmed Bandits for Adaptive Operator Selection

Álvaro Fialho, Luis Da Costa, Marc Schoenauer, Michèle Sebag

Genetic Algorithms, Parameter Control, Adaptive Operator Selection

  • On Benchmark Properties for Adaptive Operator Selection.

Dirk Thierens

Adaptive Operator Selection

  • Defense Applications of Computational Intelligence

Classifying SSH Encrypted Traffic with Minimum Packet Header Features using Genetic Programming Riyad Alshammari, Peter Lichodzijewski, Malcolm Heywood, A. ur ZincirHeywood

supervised learning, Genetic programming, encrypted traffic classification, defense applications, security, packet, active learning, problem decomposition, teaming

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Workshop Presentations Thursday 9 July

Improved Multiresolution Analysis Transforms for Satellite Image Compression and Reconstruction using Evolution Strategies Brendan J Babb, Frank W Moore, Michael R Peterson

Evolved Transforms, Wavelets, Evolution Strategies, Quantization Error, Satellite Images, Image Compression, Image Reconstruction, Multiresolution Analysis

  • String and PermutationCoded Genetic Algorithms for the Static WeaponTarget Assignment

Problem Bryant A Julstrom

Weapontarget assignment problem, Maximum Marginal Return, coding, representations, permutations

  • Military &etwork Security using Self Organized MultiAgent Entangled Hierarchies

Gary B. Lamont, Eric M. Holloway

swarm intelligence, multiobjective problems, Cybercraft

  • International Workshop on Learning Classifier Systems

Coevolution of Pattern Generators and Recognizers Stewart W Wilson

pattern recognition, coevolution, image transformation

  • On the Appropriateness of Evolutionary Rule Learning Algorithms for Malware Detection
  • M. Zubair Shafiq, S. Momina Tabish, Muddassar Farooq

Genetics Based Machine Learning, Learning Classifier Systems, Malware Detection

  • Performance Evaluation of Evolutionary Algorithms in Classification of Biomedical Datasets

Ajay Kumar Tanwani, Muddassar Farooq

Classification, Evolutionary Rule Learning Algorithms, Biomedical Datasets

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Workshop Presentations Thursday 9 July

An XCS Approach to Forecasting Financial Time Series Richard Preen

Learning Classifier Systems, XCS, Computational Finance

  • Evolved Cooperation and Emergent Communication Structures in Learning Classifier Based

Organic Computing Systems Alexander Scheidler, Martin Middendorf

coevolution, classifier system, genetic algorithm, multiagent system, cooperation

  • Symbolic Regression and Modeling Workshop (SRM)

Mutation and Crossover with Abstract Expression Grammars Michael F Korns

Abstract Expression Grammars, Differential Evolution, Genetic Programming, Particle Swarm, Symbolic Regression

  • Multiobjective Genetic Programming Approach for a Smooth Modeling of the Release Kinetics
  • f a Pheromone Dispenser

Eva AlfaroCid, Anna I EsparciaAlcazar, Pilar Moya, J.J. Merelo, Beatriu Femenia Ferrer, Ken Sharman, Jaime Primo

Modeling, Multiobjective optimization, Genetic programming, Agricultural application