TOC GECCO Workshops 2017

GECCO '17- Proceedings of the Genetic and Evolutionary Computation Conference Companion

GECCO '17- Proceedings of the Genetic and Evolutionary Computation Conference Companion

Full Citation in the ACM Digital Library

WORKSHOP SESSION: Simulation in evolutionary robotics

A baseline-realistic objective open-ended kinematics simulator for evolutionary robotics

  • Riley Konsella
  • Frank Chiarulli
  • John Peterson
  • John Rieffel

Simulating the evolution of soft and rigid-body robots

  • Sam Kriegman
  • Collin Cappelle
  • Francesco Corucci
  • Anton Bernatskiy
  • Nick Cheney
  • Josh C. Bongard

20 years of reality gap: a few thoughts about simulators in evolutionary robotics

  • Jean-Baptiste Mouret
  • Konstantinos Chatzilygeroudis

WORKSHOP SESSION: 7th workshop on evolutionary computation for the automated design of algorithms

Towards a method for automatically selecting and configuring multi-label classification algorithms

  • Alex G. C. de Sá
  • Gisele L. Pappa
  • Alex A. Freitas

Evolutionary computation for the automated design of category functions for fuzzy ART: an initial exploration

  • Islam Elnabarawy
  • Daniel R. Tauritz
  • Donald C. Wunsch

Comparing hyper-heuristics with blackboard systems

  • Kevin Graham
  • Leslie Smith

Evaluating random forest models for irace

  • Leslie Pérez Cáceres
  • Bernd Bischl
  • Thomas Stützle

Recent developments in autoconstructive evolution

  • Lee Spector
  • Eva Moscovici

Design of an efficient hyper-heuristic algorithm CMA-VNS for combinatorial black-box optimization problems

  • Fan Xue
  • Geoffrey Q Shen

WORKSHOP SESSION: Evolution in cognition (second edition)

Chairs' welcome for GECCO'17 workshop "evolution in cognition"

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

Cognitive cultural dynamics

  • Harold P. de Vladar

Context nodes in the operation of a long term memory structure for an evolutionary cognitive architecture

  • Richard J. Duro
  • Jose A. Becerra
  • Juan Monroy
  • Luis Calvo

Learning highly diverse robot throwing movements through quality diversity search

  • Seungsu Kim
  • Stéphane Doncieux

WORKSHOP SESSION: Evolutionary computation software systems

In hypercubo nigrae capsulae optimum

  • Arnaud Berny

ecr 2.0: a modular framework for evolutionary computation in R

  • Jakob Bossek

PonyGE2: grammatical evolution in Python

  • Michael Fenton
  • James McDermott
  • David Fagan
  • Stefan Forstenlechner
  • Erik Hemberg
  • Michael O'Neill

evospace-js: asynchronous pool-based execution of heterogeneous metaheuristics

  • Mario García-Valdez
  • JJ Merelo

Towards the design and implementation of optimization networks in HeuristicLab

  • Johannes Karder
  • Stefan Wagner
  • Andreas Beham
  • Michael Kommenda
  • Michael Affenzeller

flaccogui: exploratory landscape analysis for everyone

  • Christian Hanster
  • Pascal Kerschke

ECJ then and now

  • Sean Luke

Multijob: a framework for efficient distribution of evolutionary algorithms for parameter tuning

  • Robin Mueller-Bady
  • Martin Kappes
  • Lukas Atkinson
  • Inmaculada Medina-Bulo

Design and architecture of the jMetaISP framework

  • Antonio J. Nebro
  • Cristóbal Barba-González
  • José García Nieto
  • José A. Cordero
  • José F. Aldana Montes

MYRA: a Java ant colony optimization framework for classification algorithms

  • Fernando E. B. Otero

PyshGP: PushGP in Python

  • Edward Pantridge
  • Lee Spector

Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platform

  • Pasquale Salza
  • Erik Hemberg
  • Filomena Ferrucci
  • Una-May O'Reilly

WORKSHOP SESSION: Evolutionary methods for smart grid applications

Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0

  • W. Jakob
  • J. Á. González Ordiano
  • N. Ludwig
  • R. Mikut
  • V. Hagenmeyer

Differential evolution strategies for large-scale energy resource management in smart grids

  • Fernando Lezama
  • Luis Enrique Sucar
  • Enrique Munoz de Cote
  • João Soares
  • Zita Vale

Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatch

  • Karl Mason
  • Jim Duggan
  • Enda Howley

Restoration of power distribution networks: a fast evolutionary approach based on practical perspectives

  • Carlos E. R. Nogueira
  • Wallace C. Boaventura
  • Ricardo H. C. Takahashi
  • Eduardo G. Carrano

Optimizing booster stations

  • Jonas B. Weber
  • Ulf Lorenz

WORKSHOP SESSION: 2nd workshop on industrial applications of metaheuristics

Artificial bee colony framework to non-convex economic dispatch problem with valve point effects: a case study

  • Doğan Aydin
  • Gürcan Yavuz
  • Serdar Özyön
  • Celal Yaşar
  • Thomas Stützle

Multiobjective discovery of human-like driving strategies

  • Erik Dovgan
  • Jaka Sodnik
  • Ivan Bratko
  • Bogdan Filipič

Identifying a robust waste heat recovery system for varying hot water temperature demand

  • Maizura Mokhtar

Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem

  • Neil Urquhart

WORKSHOP SESSION: 20th international workshop on evolutionary rule-based machine learning

Classifier systems with native fuzzy logic control operation

  • Nugroho Fredivianus
  • Kurt Geihs

Toward curious learning classifier systems: combining XCS with active learning concepts

  • Anthony Stein
  • Roland Maier
  • Jörg Hähner

WORKSHOP SESSION: Medical applications of genetic and evolutionary computation

A comparative study of the EEG signals big optimization problem using evolutionary, swarm and memetic computation algorithms

  • M. A. El Majdouli
  • S. Bougrine
  • I. Rbouh
  • A. A. El Imrani

Going through directional changes: evolving human movement classifiers using an event based encoding

  • Michael A. Lones
  • Jane E. Alty
  • Jeremy Cosgrove
  • Stuart Jamieson
  • Stephen L. Smith

Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms

  • Ngoc Hoang Luong
  • Anton Bouter
  • Marjolein C. van der Meer
  • Yury Niatsetski
  • Cees Witteveen
  • Arjan Bel
  • Tanja Alderliesten
  • Peter A. N. Bosman

Evolutionary learning-based modeling for warfarin dose prediction in Chinese

  • Yanyun Tao
  • Yuzhen Zhang
  • Bin Jiang

Forecasting glucose levels in patients with diabetes mellitus using semantic grammatical evolution and symbolic aggregate approximation

  • Jose Manuel Velasco
  • Oscar Garnica
  • Sergio Contador
  • Marta Botella
  • Juan Lanchares
  • J. Ignacio Hidalgo

WORKSHOP SESSION: Student workshop

On binary unbiased operators returning multiple offspring

  • Nina Bulanova
  • Maxim Buzdalov

Variable selection as a non-completely decomposable problem: a case study in multivariate calibration

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

Genetic programming meets linear algebra: how genetic programming can be used to find improved iterative numerical methods

  • Reza Gholami Mahmoodabadi
  • Harald Köstler

Hierarchical surrogate modeling for illumination algorithms

  • Alexander Hagg

Optimization networks for real-world production and logistics problems

  • Viktoria A. Hauder
  • Andreas Beham
  • Stefan Wagner
  • Michael Affenzeller

Amplitude-oriented mixed-type CGP classification

  • Karlo Knezevic
  • Stjepan Picek
  • Julian F. Miller

Evaluation of a genetic representation for outline shapes

  • P. Lapok
  • A. Lawson
  • B. Paechter

Evaluation of heavy-tailed mutation operator on maximum flow test generation problem

  • Vladimir Mironovich
  • Maxim Buzdalov

Econometric genetic programming outperforms traditional econometric algorithms for regression tasks

  • André Luiz Farias Novaes
  • Ricardo Tanscheit
  • Douglas Mota Dias

An investigation of topological choices in FS-NEAT and FD-NEAT on XOR-based problems of increased complexity

  • Evgenia Papavasileiou
  • Bart Jansen

Reinforcement learning based dynamic selection of auxiliary objectives with preservation of the best found solution

  • Irina Petrova
  • Arina Buzdalova

Hybridisation of artificial bee colony algorithm on four classes of real-valued optimisation functions

  • Mudita Sharma
  • Dimitar Kazakov

Ant colony optimization with human-computer cooperative strategy for two-echelon vehicle routing problem

  • Xueming Yan
  • Zhifeng Hao
  • Han Huang
  • Hongyue Wu

WORKSHOP SESSION: Genetic and evolutionary computation in defense, security and risk management

Return-oriented programme evolution with ROPER: a proof of concept

  • Olivia Lucca Fraser
  • Nur Zincir-Heywood
  • Malcolm Heywood
  • John T. Jacobs

Investigating coevolutionary archive based genetic algorithms on cyber defense networks

  • Dennis Garcia
  • Anthony Erb Lugo
  • Erik Hemberg
  • Una-May O'Reilly

Administrating role-based access control by genetic algorithms

  • Igor Saenko
  • Igor Kotenko

WORKSHOP SESSION: Landscape-aware heuristic search

Instance-based algorithm selection on quadratic assignment problem landscapes

  • Andreas Beham
  • Michael Affenzeller
  • Stefan Wagner

Analyzing deception, evolvability, and behavioral rarity in evolutionary robotics

  • Joel Lehman

Exploiting active subspaces in global optimization: how complex is your problem?

  • Pramudita Satria Palar
  • Koji Shimoyama

The effect of landscape funnels in QAPLIB instances

  • Sarah L. Thomson
  • Gabriela Ochoa
  • Fabio Daolio
  • Nadarajen Veerapen

WORKSHOP SESSION: Genetic improvement workshop

Deep parameter optimisation on Android smartphones for energy minimisation: a tale of woe and a proof-of-concept

  • Mahmoud A. Bokhari
  • Bobby R. Bruce
  • Brad Alexander
  • Markus Wagner

From problem landscapes to language landscapes: questions in genetic improvement

  • Brendan Cody-Kenny
  • Michael Fenton
  • Michael O'Neill

Gaining insights into road traffic data through genetic improvement

  • Anikó Ekárt
  • Alina Patelli
  • Victoria Lush
  • Elisabeth Ilie-Zudor

Fixing bugs in your sleep: how genetic improvement became an overnight success

  • Saemundur O. Haraldsson
  • John R. Woodward
  • Alexander E. I. Brownlee
  • Kristin Siggeirsdottir

Genetic improvement of runtime and its fitness landscape in a bioinformatics application

  • Saemundur O. Haraldsson
  • John R. Woodward
  • Alexander E. I. Brownlee
  • Albert V. Smith
  • Vilmundur Gudnason

Learning from super-mutants: searching post-apocalyptic software ecosystems for novel semantics-preserving transforms

  • Jason Landsborough
  • Stephen Harding
  • Sunny Fugate

Improving SSE parallel code with grow and graft genetic programming

  • William B. Langdon
  • Ronny Lorenz

Evolving software building blocks with FINCH

  • Michael Orlov

New operators for non-functional genetic improvement

  • Justyna Petke

Modelling genetic improvement landscapes with local optima networks

  • Nadarajen Veerapen
  • Fabio Daolio
  • Gabriela Ochoa

GI in no time

  • David R. White

Embedding genetic improvement into programming languages

  • Shin Yoo

WORKSHOP SESSION: Measuring and promoting diversity in evolutionary algorithms

Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants

  • Michael Affenzeller
  • Stephan M. Winkler
  • Bogdan Burlacu
  • Gabriel Kronberger
  • Michael Kommenda
  • Stefan Wagner

A simple bucketing based approach to diversity maintenance

  • Amit Benbassat
  • Yuri Shafet

A multi-objective decomposition-based evolutionary algorithm with enhanced variable space diversity control

  • Joel Chacón Castillo
  • Carlos Segura
  • Arturo Hernández Aguirre
  • Gara Miranda
  • Coromoto León

Genealogical distance as a diversity estimate in evolutionary algorithms

  • Thomas Gabor
  • Lenz Belzner

A comparison of illumination algorithms in unbounded spaces

  • Vassilis Vassiliades
  • Konstantinos Chatzilygeroudis
  • Jean-Baptiste Mouret

WORKSHOP SESSION: New standards for benchmarking in evolutionary computation research

Generating custom classification datasets by targeting the instance space

  • Mario A. Muñoz
  • Kate Smith-Miles

On the difficulty of benchmarking inductive program synthesis methods

  • Edward Pantridge
  • Thomas Helmuth
  • Nicholas Freitag McPhee
  • Lee Spector

CryptoBench: benchmarking evolutionary algorithms with cryptographic problems

  • Stjepan Picek
  • Domagoj Jakobovic
  • Una-May O'Reilly

Performance testing of automated modeling for industrial applications

  • Dylan Sherry
  • Michael Schmidt

WORKSHOP SESSION: Workshop on surrogate-assisted evolutionary optimisation

A surrogate-based evolutionary algorithm for highly constrained design problems

  • Charlotte Beauthier
  • Paul Beaucaire
  • Caroline Sainvitu

Bayesian optimization approach of general bi-level problems

  • Emmanuel Kieffer
  • Grégoire Danoy
  • Pascal Bouvry
  • Anass Nagih

Overview of surrogate-model versions of covariance matrix adaptation evolution strategy

  • Zbyněk Pitra
  • Lukáš Bajer
  • Jakub Repický
  • Martin Holeňa

Enabling high-dimensional surrogate-assisted optimization by using sliding windows

  • Bernhard Werth
  • Erik Pitzer
  • Michael Affenzeller

WORKSHOP SESSION: Evolutionary computation in computational biology

Toward self-adapting computation in cells: building spiking neural network with cell signaling pathways

  • Katherine H. Chiang

Optimisation and landscape analysis of computational biology models: a case study

  • Kevin Doherty
  • Khulood Alyahya
  • Ozgur E. Akman
  • Jonathan E. Fieldsend

On heuristic bias in fragment-assembly methods for protein structure prediction

  • Julia Handl
  • Mario Garza-Fabre
  • Shaun Kandathil
  • Simon C. Lovell

Genetic improvement of computational biology software

  • William B. Langdon
  • Karina Zile

Identification of robust strain designs via tandem pFBA/LMOMA phenotype prediction

  • Paulo Maia
  • Isabel Rocha
  • Miguel Rocha

An evolutionary algorithm to model structural excursions of a protein

  • Emmanuel Sapin
  • Kenneth De Jong
  • Amarda Shehu

A protein folding model using the face-centered cubic lattice model

  • Daniel Varela
  • José Santos

WORKSHOP SESSION: Second workshop on evolving collective behaviors in robotics

Evolving robot swarm behaviors by minimizing surprise: results of simulations in 2-d on a Torus

  • Richard Borkowski
  • Heiko Hamann

Phylogeny of embodied evolutionary robotics

  • Amine Boumaza

Benefits of proportionate selection in embodied evolution: a case study with behavioural specialization

  • Nicolas Bredeche
  • Jean-Marc Montanier
  • Simon Carrignon

Incorporating user feedback in embodied evolution

  • Micha Kemeling
  • Evert Haasdijk

Validation of a learning and evolving robot swarm

  • Rasmus Munk
  • Emma Hart
  • Ben Paechter

WORKSHOP SESSION: Visualisation methods in genetic and evolutionary computation

Interactive tool for analyzing multiobjective optimization results with level diagrams

  • Xavier Blasco
  • Juan Manuel Herrero
  • Gilberto Reynoso-Meza
  • Miguel A. Martínez Iranzo

Spatial redistribution of irregularly-spaced pareto fronts for more intuitive navigation and solution selection

  • Anton Bouter
  • Kleopatra Pirpinia
  • Tanja Alderliesten
  • Peter A. N. Bosman

The DU map: a visualization to gain insights into genotype-phenotype mapping and diversity

  • Eric Medvet
  • Tea Tušar

On the role of aesthetics in genetic algorithms applied to graph drawing

  • Evgheni Polisciuc
  • António Cruz
  • Penousal Machado
  • Joel P. Arrais

WORKSHOP SESSION: Exploration of inaccessible environments through hardware/software co-evolution

Energy-efficient environment mapping via evolutionary algorithm optimized multi-agent localization

  • Ahmed Hallawa
  • Stephan Schlupkothen
  • Giovanni Iacca
  • Gerd Ascheid

Instinct-driven dynamic hardware reconfiguration: evolutionary algorithm optimized compression for autonomous sensory agents

  • Ahmed Hallawa
  • Jaro De Roose
  • Martin Andraud
  • Marian Verhelst
  • Gerd Ascheid

Acquiring moving skills in robots with evolvable morphologies: recent results and outlook

  • Milan Jelisavcic
  • Evert Haasdijk
  • A. E. Eiben

SESSION: Black box optimization benchmarking 2017

Self-adaptive search equation-based artificial bee colony algorithm with CMA-ES on the noiseless BBOB testbed

  • Doğan Aydin
  • Gürcan Yavuz

Benchmarking a pool-based execution with GA and PSO workers on the BBOB noiseless testbed

  • Mario García-Valdez
  • J J Merelo

Benchmarking CMAES-APOP on the BBOB noiseless testbed

  • Duc Manh Nguyen
  • Nikolaus Hansen

Comparison of ordinal and metric gaussian process regression as surrogate models for CMA evolution strategy

  • Zbyněk Pitra
  • Lukáš Bajer
  • Jakub Repický
  • Martin Holeňa

Benchmarking the SMS-EMOA with self-adaptation on the bbob-biobj test suite

  • Simon Wessing

Benchmarking the novel CMA-ES restart strategy using the search history on the BBOB noiseless testbed

  • Takahiro Yamaguchi
  • Youhei Akimoto

WORKSHOP SESSION: Parallel and distributed evolutionary inspired methods

Large scale optimization of computationally expensive functions: an approach based on parallel cooperative coevolution and fitness metamodeling

  • Ivanoe De Falco
  • Antonio Della Cioppa
  • Giuseppe A. Trunfio

Multi-objective parallel extremal optimization in processor load balancing for distributed programs

  • Ivanoe De Falco
  • Eryk Laskowski
  • Richard Olejnik
  • Umberto Scafuri
  • Ernesto Tarantino
  • Marek Tudruj

A distributed framework for cooperation of many-objective evolutionary algorithms

  • Gian Fritsche
  • Aurora Pozo

A study of self-adaptive semi-asynchronous evolutionary algorithm on multi-objective optimization problem

  • Tomohiro Harada
  • Keiki Takadama

Asynchronous parallel cartesian genetic programming

  • Adam Harter
  • Daniel R. Tauritz
  • William M. Siever

Designing bent boolean functions with parallelized linear genetic programming

  • Jakub Husa
  • Roland Dobai

Integrating surrogate evaluation model and asynchronous evolution in multi-objective evolutionary algorithm for expensive and different evaluation time

  • Misaki Kaidan
  • Tomohiro Harada
  • Ruck Thawonmas

Island-cellular model differential evolution for large-scale global optimization

  • Rodolfo A. Lopes
  • Alan R. R. de Freitas

Parallel optimization of transistor level circuits using cartesian genetic programming

  • Vojtech Mrazek
  • Zdenek Vasicek

A distributed implementation using apache spark of a genetic algorithm applied to test data generation

  • Ciprian Paduraru
  • Marius-Constantin Melemciuc
  • Alin Stefanescu

Hyper-parameter selection in deep neural networks using parallel particle swarm optimization

  • Pablo Ribalta Lorenzo
  • Jakub Nalepa
  • Luciano Sanchez Ramos
  • José Ranilla Pastor

TensorFlow enabled genetic programming

  • Kai Staats
  • Edward Pantridge
  • Marco Cavaglia
  • Iurii Milovanov
  • Arun Aniyan

Exploiting diversity in an asynchronous migration model for distributed differential evolution

  • Ivanoe De Falco
  • Antonio Delia Cioppa
  • Umberto Scafuri
  • Ernesto Tarantino

A parallel multi-objective cooperative co-evolutionary algorithm with changing variables

  • Biao Xu
  • Yong Zhang
  • Dun-wei Gong
  • Ling Wang

SESSION: Hot off the press

The unrestricted black-box complexity of jump functions

  • Maxim Buzdalov
  • Benjamin Doerr
  • Mikhail Kever

Multilayer optimization of heterogeneous networks using grammatical genetic programming

  • Michael Fenton
  • David Lynch
  • Stepan Kucera
  • Holger Claussen
  • Michael O'Neill

On constructing ensembles for combinatorial optimisation

  • Emma Hart
  • Kevin Sim

Evolutionary algorithm with a directional local search for multiobjective optimization in combinatorial problems

  • Krzysztof Michalak

Effective visualisation of the high-dimensional pareto-optimal solutions

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

Downscaling near-surface atmospheric fields with multi-objective genetic programming

  • Tanja Zerenner
  • Victor Venema
  • Petra Friederichs
  • Clemens Simmer

SESSION: Late-breaking abstracts

A novel iterative improvement pivoting rule for local search heuristics

  • Saad Bougrine
  • Mohammed Amine El Majdouli
  • Abdelhakim Ameur El Imrani

An approach of satellite periodic continuous observation task scheduling based on evolutionary computation

  • Hao. Chen
  • Chun. Du
  • Jun. Li
  • Ning. Jing
  • Lingfeng. Wang

BBIOS: a characterization of evolutionary algorithm stability

  • Matthew J. Craven
  • Simon P. Martin

Exploring the (efficient) frontiers of portfolio optimization

  • Matthew J. Craven
  • David I. Graham

Optimizing LSTM RNNs using ACO to predict turbine engine vibration

  • AbdElRahman ElSaid
  • Brandon Wild
  • Fatima El Jamiy
  • James Higgins
  • Travis Desell

Social trends in the iterated prisoner's dilemma

  • Jessica Finocchiaro
  • H. David Mathias

Solving order/degree problems by using EDA-GK

  • H. Handa
  • R. Hasegawa

A bi-objective memetic algorithm proposal for solving the minimum sum coloring problem

  • Olfa Harrabi
  • Ezzeddine Fatnassi
  • Hend Bouziri
  • Jouhaina Chaouachi

Solving a large sudoku by co-evolving numerals

  • Jeffrey Horn

Multi-document summarization using evolutionary multi-objective optimization

  • Chihoon Jung
  • Rituparna Datta
  • Aviv Segev

Discovering weekly seasonality for water demand prediction using evolutionary algorithms

  • Piotr Lipinski
  • Patryk Filipiak
  • Pawel Rychlikowski
  • Justyna Stanczyk
  • Joanna Kajewska-Szkudlarek
  • Janusz Lomotowski
  • Tomasz Konieczny

Utilization of infeasible solutions in MOEA/D for solving constrained many-objective optimization problems

  • Minami Miyakawa
  • Hiroyuki Sato
  • Yuji Sato

Melody composition using geometric crossover for variable-length encoding

  • Yong-Wook Nam
  • Yong-Hyuk Kim

Evaluating island-based EAs on unstable networks with complex failure patterns

  • Rafael Nogueras
  • Carlos Cotta

An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems

  • Zhigang Ren
  • An Chen
  • Lin Wang
  • Yongsheng Liang
  • Bei Pang

Optimization of solid waste collection: two ACO approaches

  • E. A. Mancera-Galván
  • Beatriz A. Garro
  • K. Rodríguez-Vázquez

General aspect-based selection concept for multi- and many-objective molecular optimization

  • Susanne Rosenthal
  • Markus Borschbach

Hierarchical pattern mining based on swarm intelligence

  • Kazuaki Tsuboi
  • Satoshi Suga
  • Satoshi Kurihara