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

Full Citation in the ACM Digital Library

WORKSHOP SESSION: IAM 2016 Workshop

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

WORKSHOP SESSION: GECCO'16 Student Workshop

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

WORKSHOP SESSION: BBOB-2016

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

WORKSHOP SESSION: SAEOpt 2016

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

WORKSHOP SESSION: EvoSoft 2016

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

WORKSHOP SESSION: ECADA 2016

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

WORKSHOP SESSION: MedGEC'16

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

WORKSHOP SESSION: MBEA 2016

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

• Peter A.N. Bosman
• John McCall

SESSION: VizGEC 2016

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

SESSION: IWERML'16

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

SESSION: Women@GECCO 2016

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