TOC GECCO Workshops 2016

GECCO '16 Companion- Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion

GECCO '16 Companion- Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion- WORKSHOPS

Full Citation in the ACM Digital Library


IAM 2016 Chairs' Welcome & Organization

  • Silvino Fernandez
  • Thomas Stützle
  • Pablo Valledor Pellicer

Optimising a Waste Heat Recovery System using Multi-Objective Evolutionary Algorithm

  • Maizura Mokhtar
  • Ian Hunt
  • Stephen Burns
  • Dave Ross

Multi-Line Batch Scheduling by Similarity

  • Ignacio Arnaldo
  • Erik Hemberg
  • Una-May O'Reilly

Granular-Based Dimension Reduction for Solar Radiation Prediction Using Adaptive Memory Programming

  • Abdel-Rahman Hedar
  • Alaa E. Abdel-Hakim
  • Majid Almaraashi

Criticality of Response Time in the usage of Metaheuristics in Industry

  • Silvino Fernández
  • Pablo Valledor
  • Diego Diaz
  • Eneko Malatsetxebarria
  • Miguel Iglesias

WORKSHOP SESSION: GECCO Workshop on Measuring and Promoting Diversity in Evolutionary Algorithms

MPDEA 2016 Chairs' Welcome & Organization

  • Giovanni Squillero
  • Alberto Tonda

Promoting Diversity in Evolutionary Algorithms: an Updated Bibliography

  • Giovanni Squillero
  • Alberto Tonda

Maintaining Diversity in The Bounded Pareto-Set: A Case of Opposition Based Solution Generation Scheme

  • AKM Khaled Ahsan Talukder
  • Kalyanmoy Deb
  • Shahryar Rahnamayan

Population Diversity as a Selection Factor: Improving Fitness by Increasing Diversity

  • James Byron
  • Wayne Iba

Harnessing Phenotypic Diversity towards Multiple Independent Objectives

  • Davy Smith
  • Laurissa Tokarchuk
  • Geraint Wiggins

On Synergies between Diversity and Task Decomposition in Constructing Complex Systems with GP

  • Jessica P.C. Bonson
  • Stephen Kelly
  • Andrew R. McIntyre
  • Malcolm I. Heywood

A Modified Grid Diversity Operator for Discrete Optimization and its Application to Wind Farm Layout Optimization Problems

  • Ahmed Salah
  • Emma Hart

Effects of Lexicase and Tournament Selection on Diversity Recovery and Maintenance

  • Thomas Helmuth
  • Nicholas Freitag McPhee
  • Lee Spector


GECCO'16 Student Workshop Chairs' Welcome & Organization

  • Vanessa Volz
  • Samadhi Nallaperuma
  • Boris Naujoks

Integrating Local Search within neat-GP

  • Perla Juárez-Smith
  • Leonardo Trujillo

Simulated Annealing as a Pre-Processing Step for Force-Directed Graph Drawing

  • Farshad Ghassemi Toosi
  • Nikola S. Nikolov
  • Malachy Eaton

A Two Stages Invasive Weed Optimization via a New Clustering Strategy

  • Shanshan Huang
  • Zhigang Ren
  • Muju Wang
  • Chenlin Sun

FdDCA: A Novel Fuzzy Deterministic Dendritic Cell Algorithm

  • Nura Mukhtar
  • George M. Coghill
  • Wei Pang

Parallel SMS-EMOA for Many-Objective Optimization Problems

  • Raquel Hernández Gómez
  • Carlos A. Coello Coello

Evolution of Layer Based Neural Networks: Preliminary Report

  • Edward R. Pantridge
  • Lee Spector

Random Tree Generator for an FPGA-based Genetic Programming System

  • Carlos A. Goribar Jiménez
  • Yazmín Maldonado
  • Leonardo Trujillo

Small-Moves Based Mutation For Pick-Up And Delivery Problem

  • Viacheslav Shalamov
  • Andrey Filchenkov
  • Daniil Chivilikhin

Variable Selection for Multivariate Calibration in Chemometrics: A Real-World Application with Building Blocks Disruption Problem

  • Lauro C.M. de Paula
  • Anderson S. Soares
  • Telma W. de Lima
  • Arlindo R.G. Filho
  • Clarimar J. Coelho

Adding Program Length Bias to the Lexicase and Tournament Selection Algorithms

  • Eva Moscovici

Bee-Inspired Landmark Recognition in Robotic Navigation

  • Kodi C.A. Cumbo
  • Samantha Heck
  • Ian Tanimoto
  • Travis DeVault
  • Robert Heckendorn
  • Terence Soule

WORKSHOP SESSION: Evolution in Cognition 2016

Evolution in Cognition 2016 Chairs' Welcome

  • Stephane Doncieux
  • Joshua E. Auerbach
  • Richard J. Duro
  • Harold P. de Vladar

The Evolution of Artificial Neurogenesis

  • Dennis Wilson
  • Sylvain Cussat-Blanc
  • Hervé Luga

An Attractor Network-Based Model with Darwinian Dynamics

  • Harold P. de Vladar
  • Anna Fedor
  • András Szilágyi
  • István Zachar
  • Eörs Szathmáry

Darwinian Dynamics of Embodied Chaotic Exploration

  • Yoonsik Shim
  • Joshua E. Auerbach
  • Phil Husbands

Considering Memory Networks in the LTM Structure of the Multilevel Darwinist Brain

  • Richard J. Duro
  • José Antonio Becerra
  • Juan Monroy
  • Pilar Caamano

Gaining Insight into Quality Diversity

  • Joshua E. Auerbach
  • Giovanni Iacca
  • Dario Floreano

Neuroevolutionary Motivational Engine for Autonomous Robots

  • Rodrigo Salgado
  • Abraham Prieto
  • Francisco Bellas
  • Luis Calvo-Varela
  • Richard J. Duro

WORKSHOP SESSION: SecDef Workshop 2016

SecDef Workshop 2016 Chairs' Welcome & Organization

  • Gunes Kayacik
  • Frank Moore

Automatic Course of Action Generation using Soft Data for Maritime Domain Awareness

  • Alex Plachkov
  • Rami Abielmona
  • Moufid Harb
  • Rafael Falcon
  • Diana Inkpen
  • Voicu Groza
  • Emil Petriu

Multi-UAV Path Planning with Parallel Genetic Algorithms on CUDA Architecture

  • Ugur Cekmez
  • Mustafa Ozsiginan
  • Ozgur Koray Sahingoz

Dynamics of Adversarial Co-evolution in Tax Non-Compliance Detection

  • Jacob Rosen
  • Erik Hemberg
  • Una-May O'Reilly

Initiating a Moving Target Network Defense with a Real-time Neuro-evolutionary Detector

  • Robert J. Smith
  • Ayse Nur Zincir-Heywood
  • Malcolm I. Heywood
  • John T. Jacobs

An Incremental Ensemble Evolved by using Genetic Programming to Efficiently Detect Drifts in Cyber Security Datasets

  • Gianluigi Folino
  • Francesco Sergio Pisani
  • Pietro Sabatino

WORKSHOP SESSION: Workshop on Algorithms and Data Structures for Evolutionary Computation

GECCO'16 Workshop on Algorithms and Data Structures for Evolutionary Computation Chairs' Welcome

  • Maxim Buzdalov

Best Order Sort: A New Algorithm to Non-dominated Sorting for Evolutionary Multi-objective Optimization

  • Proteek Chandan Roy
  • Md. Monirul Islam
  • Kalyanmoy Deb

Efficient Removal of Points with Smallest Crowding Distance in Two-dimensional Incremental Non-dominated Sorting

  • Niyaz Nigmatullin
  • Maxim Buzdalov
  • Andrey Stankevich

WORKSHOP SESSION: Genetic Improvement 2016

Genetic Improvement 2016 Chairs' Welcome & Organization

  • Westley Weimer
  • Justyna Petke
  • David R. White

Benchmarking Genetically Improved BarraCUDA on Epigenetic Methylation NGS datasets and nVidia GPUs

  • William B. Langdon
  • Albert Vilella
  • Brian Yee Hong Lam
  • Justyna Petke
  • Mark Harman

Guiding Unconstrained Genetic Improvement

  • David R. White

Genetic Improvement for Code Obfuscation

  • Justyna Petke

Speeding up the Proof Strategy in Formal Software Verification

  • Markus Wagner

Optimising Energy Consumption Heuristically on Android Mobile Phones

  • Mahmoud Bokhari
  • Markus Wagner

Automatic Improvement of Apache Spark Queries using Semantics-preserving Program Reduction

  • Zoltan A. Kocsis
  • John H. Drake
  • Douglas Carson
  • Jerry Swan

Genetic Programming: From Design to Improved Implementation

  • Víctor R. López-López
  • Leonardo Trujillo
  • Pierrick Legrand
  • Gustavo Olague

GP vs GI: If You Can't Beat Them, Join Them

  • John R. Woodward
  • Colin G. Johnson
  • Alexander E.I. Brownlee

Evals is Not Enough: Why We Should Report Wall-clock Time

  • John R. Woodward
  • Alexander E.I. Brownlee
  • Colin G. Johnson

Evolutionary Optimization of Compiler Flag Selection by Learning and Exploiting Flags Interactions

  • Unai Garciarena
  • Roberto Santana


GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome Message

  • Anne Auger
  • Dimo Brockhoff
  • Nikolaus Hansen
  • Dejan Tušar
  • Tea Tušar
  • Tobias Wagner

Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES)

  • Ilya Loshchilov
  • Tobias Glasmachers

Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite

  • Oswin Krause
  • Tobias Glasmachers
  • Nikolaus Hansen
  • Christian Igel

Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noiseless Testbed

  • Kouhei Nishida
  • Youhei Akimoto

Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noisy Testbed

  • Kouhei Nishida
  • Youhei Akimoto

Hypervolume-Based DIRECT for Multi-Objective Optimisation

  • Cheryl Sze Yin Wong
  • Abdullah Al-Dujaili
  • Suresh Sundaram

A MATLAB Toolbox for Surrogate-Assisted Multi-Objective Optimization: A Preliminary Study

  • Abdullah Al-Dujaili
  • S. Suresh

Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed

  • Anne Auger
  • Dimo Brockhoff
  • Nikolaus Hansen
  • Dejan Tušar
  • Tea Tušar
  • Tobias Wagner

The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite

  • Anne Auger
  • Dimo Brockhoff
  • Nikolaus Hansen
  • Dejan Tušar
  • Tea Tušar
  • Tobias Wagner

Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite

  • Anne Auger
  • Dimo Brockhoff
  • Nikolaus Hansen
  • Dejan Tušar
  • Tea Tušar
  • Tobias Wagner

Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite

  • Anne Auger
  • Dimo Brockhoff
  • Nikolaus Hansen
  • Dejan Tušar
  • Tea Tušar
  • Tobias Wagner

Performance of the DEMO Algorithm on the Bi-objective BBOB Test Suite

  • Tea Tušar
  • Bogdan Filipic

The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite

  • Anne Auger
  • Dimo Brockhoff
  • Nikolaus Hansen
  • Dejan Tušar
  • Tea Tušar
  • Tobias Wagner


Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization

  • Alma Rahat
  • Richard Everson
  • Jonathan Fieldsend
  • Yaochu Jin
  • Handing Wang

Mining Markov Network Surrogates for Value-Added Optimisation

  • Alexander E.I. Brownlee

Adaptation of Surrogate Tasks for Bipedal Walk Optimization

  • Patrick MacAlpine
  • Elad Liebman
  • Peter Stone

Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems

  • Chaoli Sun
  • Yaochu Jin
  • Jinliang Ding
  • Jianchao Zeng

Uncertainty in Surrogate Models

  • Handing Wang

Data Driven Evolutionary Optimization of Complex Systems: Big Data Versus Small Data

  • Yaochu Jin

WORKSHOP SESSION: Workshop Evolutionary Computation in Computational Structural Biology

Workshop Evolutionary Computation in Computational Structural Biology 2016 Chairs' Welcome

  • José Santos
  • Julia Handl
  • Amarda Shehu

Using Crowding-Distance in a Multiobjective Genetic Algorithm for Protein Structure Prediction

  • Gregório Kappaun Rocha
  • Fábio Lima Custódio
  • Helio J.C. Barbosa
  • Laurent Emmanuel Dardenne

Path-based Guidance of an Evolutionary Algorithm in Mapping a Fitness Landscape and its Connectivity

  • Emmanuel Sapin
  • Kenneth De Jong
  • Amarda Shehu

An Ecologically-inspired Parallel Approach Applied to the Protein Structure Reconstruction from Contact Maps

  • César M.V. Benítez
  • Rafael Stubs Parpinelli
  • Heitor Silvério Lopes

Protein Folding Modeling with Neural Cellular Automata Using Rosetta

  • Daniel Varela
  • José Santos


Evolutionary Computation Software Systems (EvoSoft) Workshop 2016 Chairs' Welcome & Organization

  • Stefan Wagner
  • Michael Affenzeller

elephant56: Design and Implementation of a Parallel Genetic Algorithms Framework on Hadoop MapReduce

  • Pasquale Salza
  • Filomena Ferrucci
  • Federica Sarro

NodIO: A Framework and Architecture for Pool-based Evolutionary Computation

  • Juan J. Merelo
  • Pedro A. Castillo
  • Pablo García-Sánchez
  • Paloma de las Cuevas
  • Mario García Valdez

Optimization Knowledge Center: A Decision Support System for Heuristic Optimization

  • Andreas Beham
  • Stefan Wagner
  • Michael Affenzeller


ECADA 2016 Chairs' Welcome

  • Manuel López-Ibáñez
  • Daniel Tauritz
  • John Woodward

Exploration of Metaheuristics through Automatic Algorithm Configuration Techniques and Algorithmic Frameworks

  • Alberto Franzin
  • Thomas Stützle

Evolution Evolves with Autoconstruction

  • Lee Spector
  • Nicholas Freitag McPhee
  • Thomas Helmuth
  • Maggie M. Casale
  • Julian Oks

Connecting Automatic Parameter Tuning, Genetic Programming as a Hyper-heuristic, and Genetic Improvement Programming

  • John R. Woodward
  • Colin G. Johnson
  • Alexander E.I. Brownlee

Why Asynchronous Parallel Evolution is the Future of Hyper-heuristics: A CDCL SAT Solver Case Study

  • Alex R. Bertels
  • Daniel R. Tauritz


MedGEC'16 Chairs' Welcome

  • Stephen L. Smith
  • Stefano Cagnoni
  • Robert Patton

A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients

  • Marta Vallejo
  • Jeremy Cosgrove
  • Jane E. Alty
  • Stuart Jamieson
  • Stephen L. Smith
  • David W. Corne
  • Michael A. Lones

Exploring the Application of Hybrid Evolutionary Computation Techniques to Physical Activity Recognition

  • Alejandro Baldominos
  • Carmen del Barrio
  • Yago Saez

An Optimized Feed-forward Artificial Neural Network Topology to Support Radiologists in Breast Lesions Classification

  • Vitoantonio Bevilacqua
  • Antonio Brunetti
  • Maurizio Triggiani
  • Domenico Magaletti
  • Michele Telegrafo
  • Marco Moschetta

Predicting Glycemia in Diabetic Patients By Evolutionary Computation and Continuous Glucose Monitoring

  • J. Manuel Colmenar
  • Stephan M. Winkler
  • Gabriel Kronberger
  • Esther Maqueda
  • Marta Botella
  • J. Ignacio Hidalgo


GECCO'16 Model-Based Evolutionary Algorithms (MBEA) Workshop Chairs' Welcome

  • Peter A.N. Bosman
  • John McCall


Visualisation Methods in Genetic and Evolutionary Computation (VizGEC 2016) Chairs' Welcome & Organization

  • David Walker
  • Jonathan Fieldsend
  • Richard Everson

Visualisation and Analysis of Genetic Records Produced by Cartesian Genetic Programming

  • Lukas Sekanina
  • Vlastimil Kapusta

Visualizing Genetic Programming Ancestries

  • Nicholas Freitag McPhee
  • Maggie M. Casale
  • Mitchell Finzel
  • Thomas Helmuth
  • Lee Spector

Visualizing for Success: How Can we Make the User more Efficient in Interactive Evolutionary Algorithms?

  • Juan-J. Merelo
  • Mario García Valdez
  • Carlos Cotta
  • Carlos Cotta

Enabling Dominance Resistance in Visualisable Distance-Based Many-Objective Problems

  • Jonathan E. Fieldsend

Learning Features for Discriminative Behavior Analysis of Evolutionary Algorithms via Slow Feature Analysis

  • Chengshan Pang
  • Mang Wang
  • Weiming Liu
  • Bin Li


International Workshop on Evolutionary Rule-Based Machine Learning Workshop (IWERML) Welcome & Organization

  • Karthik Kuber
  • Masaya Nakata
  • Kamran Shafi

Pareto Inspired Multi-objective Rule Fitness for Adaptive Rule-based Machine Learning

  • Ryan J. Urbanowicz
  • Randal S. Olson
  • Jason H. Moore

Code Fragments: Past and Future use in Transfer Learning

  • Will N. Browne

Hands-on Workshop on Learning Classifier Systems

  • Ryan J. Urbanowicz
  • Will N. Browne
  • Karthik Kuber


Women@GECCO 2016 Chairs' Welcome

  • Carola Doerr
  • Julia Handl
  • Emma Hart
  • Gabriela Ochoa
  • Amarda Shehu
  • Tea Tušar
  • Anya E. Vostinar
  • Christine Zarges
  • Nur Zincir-Heywood

SESSION: Late-Breaking Abstracts Workshop

Late-Breaking Abstracts Workshop at GECCO'16: Chair's Welcome

  • Francisco Chicano

A Multimodal Adaptive Genetic Clustering Algorithm

  • Sawsan Al-Malak
  • Manar Hosny

BeamGA Median: A Hybrid Heuristic Search Framework

  • Ghada Badr
  • Manar Hosny
  • Nuha Bintayyash
  • Eman Albilali
  • Souad Larabi Marie-Sainte

Nearing Stroop Effect Replication via Neuroevolution

  • Amit Benbassat
  • Avishai Henik

Reducing Energy Consumption in Smart Cities: A Scatter Search Based Approach

  • Olfa Chebbi
  • Nouha Nouri

Feature Selection using Genetic Algorithm: An Analysis of the Bias-Property for One-Point Crossover

  • Lauro C.M. de Paula
  • Anderson S. Soares
  • Telma Woerle de Lima
  • Clarimar J. Coelho

Discovery Motifs by Evolutionary Computation

  • Jader C. Garbelini
  • André Y. Kashiwabara
  • Danilo S. Sanches

Are Evolutionary Computation-Based Methods Comparable to State-of-the-art non-Evolutionary Methods for Community Detection?

  • Ami Hauptman

On Development of a New Approach for EA Acceleration in Chosen Large Optimization Problems of Mechanics

  • Janusz Orkisz
  • Maciej Glowacki

Comparison between Golden Ball Meta-heuristic, Evolutionary Simulated Annealing and Tabu Search for the Traveling Salesman Problem

  • Eneko Osaba
  • Roberto Carballedo
  • Pedro Lopez-Garcia
  • Fernando Diaz

TIMON Project: Description and Preliminary Tests for Traffic Prediction Using Evolutionary Techniques

  • Eneko Osaba
  • Pedro López-Garcia
  • Antonio D. Masegosa
  • Enrique Onieva
  • Hugo Landaluce
  • Asier Perallos

Schemata Bandits for MAXSAT

  • Nixon K. Ronoh
  • Edna Milgo
  • Ambrose K. KIprop
  • Bernard Manderick

Multiobjective Discrete Differential Evolution for Service Restoration in Energy Distribution Systems

  • Danilo S. Sanches
  • João Bosco A. London, Jr.
  • Alexandre C.B. Delbem

Increasing the Throughput of Expensive Evaluations Through a Vector Based Genetic Programming Framework

  • Jason Zutty
  • Daniel Long
  • Gregory Rohling