GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion

Full Citation in the ACM Digital Library

SESSION: Competition entry: Competition internet of things - Online event detection for drinking water quality control

Monitoring of drinking-water quality by means of a multi-objective ensemble learning approach

• Victor Henrique Alves Ribeiro
• Gilberto Reynoso-Meza

SESSION: Competition entry: Competition 100-digit challenge

Self-organizing migrating algorithm for the 100-digit challenge

• Quoc Bao Diep
• Ivan Zelinka
• Swagatam Das

L-SHADE with an adaptive penalty method of balancing the objective value and the constraint violation

• Takeshi Kawachi
• Jun-ichi Kushida
• Akira Hara
• Tetsuyuki Takahama

Hybrid-adaptive differential evolution with decay function (HyDE-DF) applied to the 100-digit challenge competition on single objective numerical optimization

• Fernando Lezama
• João Soares
• Ricardo Faia
• Zita Vale

Helper and equivalent objective different evolution for constrained optimisation

• Tao Xu
• Jun He
• Changjing Shang

Function evaluations upto 1e+12 and large population sizes assessed in distance-based success history differential evolution for 100-digit challenge and numerical optimization scenarios (DISHchain 1e+12): a competition entry for "100-digit challenge, and four other numerical optimization competitions" at the genetic and evolutionary computation conference (CECCO) 2019

• Aleš Zamuda

SESSION: Competition entry: Competition evolutionary computation in uncertain environments - A smart grid application

CUMDANCauchy-C1: a cellular EDA designed to solve the energy resource management problem under uncertainty

• Yoan Martínez-López
• Ansel Y. Rodríguez-González
• Julio Madera Quintana
• Alexis Moya
• Bismay Morgado
• Miguel Betancourt Mayedo

SESSION: Competition entry: Competition AI competition for the legends of the three kingdoms game

Solving legends of the three kingdoms based on hierarchical macro strategy model

• Youjie Zhang
• Xiang Ding
• Zhi Chen

SESSION: Hot off the press

Gaussian process surrogate models for the CMA-ES

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

Combining artificial neural networks and evolution to solve multiobjective knapsack problems

• Roman Denysiuk
• António Gaspar-Cunha
• Alexandre C. B. Delbem

Understanding exploration and exploitation powers of meta-heuristic stochastic optimization algorithms through statistical analysis

• Tome Eftimov
• Peter Korošec

Generating interpretable reinforcement learning policies using genetic programming

• Daniel Hein
• Steffen Udluft
• Thomas A. Runkler

The (1 + 1)-EA with mutation rate (1 + ϵ)/n is efficient on monotone functions: an entropy compression argument. (hot-off-the-press track at GECCO 2019)

• Johannes Lengler
• Anders Martinsson
• Angelika Steger

Low-Dimensional euclidean embedding for visualization of search spaces in combinatorial optimization

• Krzysztof Michalak

Discovering test statistics using genetic programming

• Jason H. Moore
• Randal S. Olson
• Yong Chen
• Moshe Sipper

EBIC: a scalable biclustering method for large scale data analysis

• Patryk Orzechowski
• Jason H. Moore

A bi-level hybrid PSO: MIP solver approach to define dynamic tariffs and estimate bounds for an electricity retailer profit

• Inês Soares
• Maria João Alves
• Carlos Henggeier Antunes

Stochastic program synthesis via recursion schemes

• Jerry Swan
• Krzysztof Krawiec
• Zoltan A. Kocsis

Analysing heuristic subsequences for offline hyper-heuristic learning

• William B. Yates
• Edward C. Keedwell

Hot off the press in expert systems on underwater robotic missions: success history applied to differential evolution for underwater glider path planning

• Aleš Zamuda
• José Daniel Hernández Sosa

SESSION: Late-breaking abstract

A two-phase genetic algorithm for incorporating environmental considerations with production, inventory and routing decisions in supply chain networks

• Nader Azad
• Adel Aazami
• Ali Papi
• Armin Jabbarzadeh

Application of estimation of distribution algorithm for feature selection

• Mayowa Ayodele

Hybrid estimation of distribution algorithm for solving a resource level allocation problem in a legal business

• Mayowa Ayodele
• K. Nadia Papamichail
• Geraldine Gallagher
• Darren Buckley

Beyond coreset discovery: evolutionary archetypes

• Pietro Barbiero
• Giovanni Squillero
• Alberto Tonda

Genetic algorithms are very good solved sudoku generators

• Amit Benbassat

Stabilized training of generative adversarial networks by a genetic algorithm

• Hwi-Yeon Cho
• Yong-Hyuk Kim

Determination of microscopic residual stresses using diffraction methods, EBSD maps, and evolutionary algorithms

• J. Ignacio Hidalgo
• Ricardo Fernández
• Oscar Garnica
• J. Manuel Colmenar
• Juan Lanchares
• Gaspar González-Doncel

Skill emergence and transfer in multi-agent environments

• Ingmar Kanitscheider
• Bowen Baker
• Todor Markov
• Igor Mordatch

Modelling and solving the combined inventory routing problem with risk consideration

• Ahmed Kheiri
• Konstantinos Zografos

Integrating agent actions with genetic action sequence method

• Man-Je Kim
• Jun Suk Kim
• Donghyeon Lee
• Sungjin James Kim
• Min-Jung Kim
• Chang Wook Ahn

Predictive model for epistasis-based basis evaluation on pseudo-boolean function using deep neural networks

• Yong-Hoon Kim
• Junghwan Lee
• Yong-Hyuk Kim

Parallel GPQUICK

• W. B. Langdon

Genetic algorithm-based feature selection for depression scale prediction

• Seung-Ju Lee
• Hyun-Ji Moon
• Da-Jung Kim
• Yourim Yoon

Multidimensional time series feature engineering by hybrid evolutionary approach

• Piotr Lipinski
• Krzysztof Michalak

CE+EPSO: a merged approach to solve SCOPF problem

• Carolina G. Marcelino
• Carlos Pedreira
• Elizabeth F. Wanner
• Leonel M. Carvalho
• Vladimiro Miranda
• Armando L. da Silva

On the automatic planning of healthy and balanced menus

• Alejandro Marrero
• Eduardo Segredo
• Coromoto Leon

EDA with hamming distance for consumption-loan planning in experimental economics

• Yukiko Orito
• Tomoko Kashima

Towards solving neural networks with optimization trajectory search

• Lia T. Parsenadze
• Danilo Vasconcellos Vargas
• Toshiyuki Fujita

A honeybee mating optimization algorithm for solving the static bike rebalancing problem

• Mariem Sebai
• Ezzeddine Fatnassi
• Lilia Rejeb

OINNIONN: outward inward neural network and inward outward neural network evolution

• Aviv Segev
• Rituparna Datta
• Ryan Benton
• Dorothy Curtis

Techniques from evolutionary computation to implement as experimental approaches in synthetic biology: tests in silico

• Alexander Spirov
• Ekaterina Myasnikova

Selective pressure in constrained differential evolution

• Vladimir Stanovov
• Shakhnaz Akhmedova
• Eugene Semenkin

Trajectory optimization for car races using genetic algorithms

• Dana Vrajitoru

Probabilistic grammar-based deep neuroevolution

• Pak-Kan Wong
• Man-Leung Wong
• Kwong-Sak Leung

Identifying variable interaction using mutual information of multiple local optima

• Yapei Wu
• Xingguang Peng
• Demin Xu

Predictability on performance of surrogate-assisted evolutionary algorithm according to problem dimension

• Dong-Pil Yu
• Yong-Hyuk Kim

Bi-objective optimal planning for emergency resource allocation in the maritime oil spill accident response phase under uncertainty

• Guohai Zhu
• Kewei Yang
• Qingsong Zhao
• Zhiwei Yang

A new hybrid ant colony algorithms for the traveling thief problem

• Wiem Zouari
• Ines Alaya
• Moncef Tagina

TUTORIAL SESSION: Tutorial: Introductory tutorials

Evolutionary robotics tutorial

• N. Bredeche
• S. Doncieux
• J.-B. Mouret

Tutorial on evolutionary multiobjective optimization

• Dimo Brockhoff

Constraint-handling techniques used with evolutionary algorithms

• Carlos A. Coello Coello

Evolutionary computation: a unified approach

• Kenneth De Jong

Theory for non-theoreticians: introductory tutorial

• Benjamin Doerr

Neuroevolution for deep reinforcement learning problems

• David Ha

A practical guide to experimentation (and benchmarking)

• Nikolaus Hansen

Evolutionary many-objective optimization

• Hisao Ishibuchi
• Hiroyuki Sato

Runtime analysis of evolutionary algorithms: basic introduction: introductory tutorial at GECCO 2019

• Per Kristian Lehre
• Pietro S. Oliveto

Evolution of neural networks

• Risto Miikkulainen

Introduction to genetic programming

• Una-May O'Reilly
• Erik Hemberg

Representations for evolutionary algorithms

• Franz Rothlauf

Learning classifier systems: from principles to modern systems

• Anthony Stein

Hyper-heuristics tutorial

• Daniel R. Tauritz
• John Woodward

Model-based evolutionary algorithms

• Dirk Thierens
• Peter A. N. Bosman

TUTORIAL SESSION: Tutorial: Advanced tutorials

CMA-ES and advanced adaptation mechanisms

• Youhei Akimoto
• Nikolaus Hansen

Simulation optimisation: tutorial

• Juergen Branke

Dynamic parameter choices in evolutionary computation

• Carola Doerr

Recent advances in particle swarm optimization analysis and understanding

• AP Engelbrecht
• CW Cleghorn

Visualization in multiobjective optimization

• Bogdan Filipič
• Tea Tušar

Solving complex problems with coevolutionary algorithms

• Krzysztof Krawiec
• Malcolm Heywood

Decomposition multi-objective optimisation: current developments and future opportunities

• Ke Li
• Qingfu Zhang

Semantic genetic programming

• Alberto Moraglio
• Krzysztof Krawiec

Evolutionary computation for digital art

• Aneta Neumann
• Frank Neumann

Recent advances in fitness landscape analysis

• Gabriela Ochoa
• Katherine Malan

Sequential experimentation by evolutionary algorithms

• Ofer M. Shir
• Thomas Bäck

Next generation genetic algorithms

• Darrell Whitley
• F. Chicano
• G. Ochoa
• A. Sutton
• R. Tinós

TUTORIAL SESSION: Tutorial: Specialized tutorials

Exploratory landscape analysis

• Pascal Kerschke
• Mike Preuss

Creative evolutionary computation

• Antonios Liapis
• Georgios N. Yannakakis

Concurrency in evolutionary algorithms

• J J Merelo

Push: genetic programming for finite algebras

• Lee Spector
• Nicholas Freitag McPhee
• Lee Spector
• David M. Clark
• Ian Lindsay
• Bradford Barr
• Jon Klein

Theory of estimation-of-distribution algorithms

• Carsten Witt

Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition

• Mengjie Zhang
• Stefano Cagnoni

WORKSHOP SESSION: Workshop paper: Workshop evolutionary computation + multiple criteria decision making

Minimum spanning tree-based clustering of large pareto archives

• Andrzej Jaszkiewicz

A tabu search-based memetic algorithm for the multi-objective flexible job shop scheduling problem

• Marios Kefalas
• Steffen Limmer
• Asteris Apostolidis
• Markus Olhofer
• Michael Emmerich
• Thomas Bäck

WORKSHOP SESSION: Workshop paper: Workshop international workshop on learning classifier systems

Predicting the remaining useful life of plasma equipment through XCSR

• Liang-Yu Chen
• Jia-Hua Lee
• Ya-Liang Yang
• Ming-Tsung Yeh
• Tzu-Chien Hsiao

LCS-based automatic configuration of approximate computing parameters for FPGA system designs

• Simon Conrady
• Manu Manuel
• Arne Kreddig
• Walter Stechele

Real-time detection of internet addiction using reinforcement learning system

• Hong-Ming Ji
• Liang-Yu Chen
• Tzu-Chien Hsiao

Preliminary tests of a real-valued anticipatory classifier system

• Norbert Kozlowski
• Olgierd Unold

A survey of formal theoretical advances regarding XCS

• David Pätzel
• Anthony Stein
• Jörg Hähner

XCS-CR for handling input, output, and reward noise

• Takato Tatsumi
• Keiki Takadama

WORKSHOP SESSION: Workshop paper: Workshop evolutionary data mining and optimization over graphs

Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks

• Antonio D. Masegosa
• Eneko Osaba
• Juan S. Angarita-Zapata
• Ibai Laña
• Javier Del Ser

Solving the parameterless firefighter problem using multiobjective evolutionary algorithms

• Krzysztof Michalak

Combining bio-inspired meta-heuristics and novelty search for community detection over evolving graph streams

• Eneko Osaba
• Javier Del Ser
• Angel Panizo
• David Camacho
• Akemi Galvez
• Andres Iglesias

WORKSHOP SESSION: Workshop paper: Workshop industrial applications of metaheuristics

A memetic algorithm to optimize bus timetable with unequal time intervals

• Pengfei Gao
• Xingquan Zuo
• Qiang Bian
• Xinchao Zhao

Increasing trust in meta-heuristics by using MAP-elites

• Neil Urquhart
• Michael Guckert
• Simon Powers

WORKSHOP SESSION: Workshop paper: Workshop evolutionary computation software systems

MABE 2.0: an introduction to MABE and a road map for the future of MABE development

• Clifford Bohm
• Alexander Lalejini
• Jory Schossau
• Charles Ofria

Generalized incremental orthant search: towards efficient steady-state evolutionary multiobjective algorithms

• Maxim Buzdalov

A symbolic evolutionary algorithm software platform

• Rodolfo Ayala Lopes
• Thiago Macedo Gomes
• Alan Robert Resende de Freitas

Automatic configuration of NSGA-II with jMetal and irace

• Antonio J. Nebro
• Manuel López-Ibáñez
• Cristóbal Barba-González
• José García-Nieto

Evolutionary and swarm-intelligence algorithms through monadic composition

• Gary Pamparà
• Andries P. Engelbrecht

ECJ at 20: toward a general metaheuristics toolkit

• Eric O. Scott
• Sean Luke

WORKSHOP SESSION: Workshop paper: Workshop decomposition techniques in evolutionary optimization

Differential evolution for multi-modal multi-objective problems

• Monalisa Pal
• Sanghamitra Bandyopadhyay

WORKSHOP SESSION: Workshop paper: Workshop landscape-aware heuristic search

Local optima networks for continuous fitness landscapes

• Jason Adair
• Gabriela Ochoa
• Katherine M. Malan

Landscape analysis under measurement error

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

Coupling the design of benchmark with algorithm in landscape-aware solver design

• Johann Dreo
• Carola Doerr
• Yann Semet

Visualising the landscape of multi-objective problems using local optima networks

• Jonathan E. Fieldsend
• Khulood Alyahya

Local optima network analysis for MAX-SAT

• Gabriela Ochoa
• Francisco Chicano

WORKSHOP SESSION: Workshop paper: Workshop evolutionary algorithms for problems with uncertainty

Uncertainty in real-world steel stacking problems

• Andreas Beham
• Sebastian Raggl
• Stefan Wagner
• Michael Affenzeller

A generator for dynamically constrained optimization problems

• Gary Pamparà
• Andries P. Engelbrecht

Hybrid techniques for detecting changes in less detectable dynamic multiobjective optimization problems

• Shaaban Sahmoud
• Haluk Rahmi Topcuoglu

WORKSHOP SESSION: Workshop paper: Workshop interactive methods

An intuitive and traceable human-based evolutionary computation system for solving problems in human organizations

• Kei Ohnishi
• Tomohiro Yoshikawa
• Tian-Li Yu

Human-evolutionary problem solving through gamification of a bin-packing problem

• Nicholas D. F. Ross
• Matthew B. Johns
• Edward C. Keedwell
• Dragan A. Savic

WORKSHOP SESSION: Workshop paper: Workshop evolutionary computation for the automated design of algorithms

SAPIAS concept: towards an independent self-adaptive per-instance algorithm selection for metaheuristics

• Mohamed Amine El Majdouli

Empirical evidence of the effectiveness of primitive granularity control for hyper-heuristics

• Adam Harter
• Aaron Scott Pope
• Daniel R. Tauritz
• Chris Rawlings

Instruction-level design of local optimisers using push GP

• Michael A. Lones

Toward self-learning model-based EAs

• Erik A. Meulman
• Peter A. N. Bosman

Automated design of random dynamic graph models

• Aaron Scott Pope
• Daniel R. Tauritz
• Chris Rawlings

Evolving mean-update selection methods for CMA-ES

• Samuel N. Richter
• Michael G. Schoen
• Daniel R. Tauritz

WORKSHOP SESSION: Workshop paper: Workshop evolutionary computation for permutation problems

On the definition of dynamic permutation problems under landscape rotation

• Joan Alza
• Mark Bartlett
• Josu Ceberio
• John McCall

An experimental comparison of algebraic differential evolution using different generating sets

• Marco Baioletti
• Alfredo Milani
• Valentino Santucci
• Umberto Bartoccini

Search moves in the local optima networks of permutation spaces: the QAP case

• Marco Baioletti
• Alfredo Milani
• Valentino Santucci
• Marco Tomassini

Evolutionary search techniques for the Lyndon factorization of biosequences

• Amanda Clare
• Jacqueline W. Daykin
• Thomas Mills
• Christine Zarges

Deriving knowledge from local optima networks for evolutionary optimization in inventory routing problem

• Piotr Lipinski
• Krzysztof Michalak

WORKSHOP SESSION: Workshop paper: Workshop surrogate-assisted evolutionary optimisation

Multi-point infill sampling strategies exploiting multiple surrogate models

• P. Beaucaire
• Ch. Beauthier
• C. Sainvitu

Benchmarking surrogate-assisted genetic recommender systems

• Thomas Gabor
• Philipp Altmann

Prediction of neural network performance by phenotypic modeling

• Alexander Hagg
• Martin Zaefferer
• Jörg Stork
• Adam Gaier

Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study

• Nikolay O. Nikitin
• Pavel Vychuzhanin
• Alexander Hvatov
• Irina Deeva
• Anna V. Kalyuzhnaya
• Sergey V. Kovalchuk

On the use of surrogate models in engineering design optimization and exploration: the key issues

• Pramudita Satria Palar
• Rhea Patricia Liem
• Lavi Rizki Zuhal
• Koji Shimoyama

On benchmarking surrogate-assisted evolutionary algorithms

• Vanessa Volz
• Boris Naujoks

WORKSHOP SESSION: Workshop paper: Workshop genetic and evolutionary computation in defense, security, and risk management

A mixed framework to support heterogeneous collection asset scheduling

• Jean Berger
• Moufid Harb
• Ibrahim Abualhaol
• Alexander Tekse
• Rami Abielmona
• Emil Petriu

Vulnerability assessment of machine learning based malware classification models

• Godwin Raju
• Pavol Zavarsky
• Adetokunbo Makanju
• Yasir Malik

A new approach for malware detection based on evolutionary algorithm

• Farnoush Manavi
• Ali Hamzeh

C3PO: cipher construction with cartesian genetic programming

• Stjepan Picek
• Karlo Knezevic
• Domagoj Jakobovic
• Ante Derek

Automated design of tailored link prediction heuristics for applications in enterprise network security

• Aaron Scott Pope
• Daniel R. Tauritz
• Melissa Turcotte

A role-base approach and a genetic algorithm for VLAN design in large critical infrastructures

• Igor Saenko
• Igor Kotenko

Darwinian malware detectors: a comparison of evolutionary solutions to android malware

• Zachary Wilkins
• Nur Zincir-Heywood

Investigating algorithms for finding nash equilibria in cyber security problems

• Linda Zhang
• Erik Hemberg

WORKSHOP SESSION: Workshop paper: Workshop evolutionary computation in health care and nursing system

Discovering dependencies among mined association rules with population-based metaheuristics

• Iztok Fister
• Akemi Galvez
• Eneko Osaba
• Javier Del Ser
• Andres Iglesias
• Iztok Fister

Computing rational border curves of melanoma and other skin lesions from medical images with bat algorithm

• Akemi Gálvez
• Iztok Fister
• Eneko Osaba
• Iztok Fister
• Javier Del Ser
• Andrés Iglesias

A deep learning system that learns a discriminative model autonomously using difference images

• Ryodai Hamasaki
• Koichi Nakayama

Drone monitoring system for disaster areas

• Patrick Hock
• Koki Wakiyama
• Chika Oshima
• Koichi Nakayama

An entirely self-administrated genetic algorithm implemented using block chain technology

• Koichi Nakayama
• Kanta Nanri
• Yutaka Moriyama
• Chika Oshima

Intention inference from 2D poses of preliminary action using OpenPose

• Ryuji Tanaka
• Chika Oshima
• Koichi Nakayama

WORKSHOP SESSION: Workshop paper: Workshop genetic improvement

Toward human-like summaries generated from heterogeneous software artefacts

• Mahfouth Alghamdi
• Christoph Treude
• Markus Wagner

On adaptive specialisation in genetic improvement

• Aymeric Blot
• Justyna Petke

The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems: a distributed approach

• Mahmoud A. Bokhari
• Markus Wagner
• Brad Alexander

Genetic algorithms for affine transformations to existential t-restrictions

• Ryan E. Dougherty
• Erin Lanus
• Charles J. Colbourn
• Stephanie Forrest

Genetic improvement of data gives double precision invsqrt

• W. B. Langdon

A survey of genetic improvement search spaces

• Justyna Petke
• Brad Alexander
• Earl T. Barr
• Alexander E. I. Brownlee
• Markus Wagner
• David R. White

WORKSHOP SESSION: Workshop paper: Workshop real-world applications of continuous and mixed-integer optimization

Worst case search over a set of forecasting scenarios applied to financial stress-testing

• Steffen Finck

Implementing evolutionary optimization to model neural functional connectivity

• Kaitlin Maile
• Manish Saggar
• Risto Miikkulainen

Identifying solutions of interest for practical many-objective problems using recursive expected marginal utility

• Hemant Kumar Singh
• Tapabrata Ray
• Tobias Rodemann
• Markus Olhofer

WORKSHOP SESSION: Workshop paper: Workshop game-benchmark for evolutionary algorithms

Game AI hyperparameter tuning in rinascimento

• Ivan Bravi
• Vanessa Volz
• Simon Lucas

WORKSHOP SESSION: Workshop paper: Workshop understanding machine learning optimization problems

Evolutionary discovery of coresets for classification

• Pietro Barbiero
• Giovanni Squillero
• Alberto Tonda

Making a case for (Hyper-)parameter tuning as benchmark problems

• Carola Doerr
• Johann Dreo
• Pascal Kerschke

Automatic surrogate modelling technique selection based on features of optimization problems

• Bhupinder Singh Saini
• Manuel Lopez-Ibanez
• Kaisa Miettinen

Global structure of policy search spaces for reinforcement learning

• B. Stapelberg
• K. M. Malan

WORKSHOP SESSION: Workshop paper: Workshop black box discrete optimization benchmarking

Towards better estimation of statistical significance when comparing evolutionary algorithms

• Maxim Buzdalov

Bayesian performance analysis for black-box optimization benchmarking

• Borja Calvo
• Ofer M. Shir
• Josu Ceberio
• Carola Doerr
• Hao Wang
• Thomas Bäck
• Jose A. Lozano

Benchmarking discrete optimization heuristics with IOHprofiler

• Carola Doerr
• Furong Ye
• Naama Horesh
• Hao Wang
• Ofer M. Shir
• Thomas Bäck

Illustrating the trade-off between time, quality, and success probability in heuristic search: a discussion paper

• Ivan Ignashov
• Arina Buzdalova
• Maxim Buzdalov
• Carola Doerr

Kinder surprise's debut in discrete optimisation: a real-world toy problem that can be subadditive

• Markus Wagner

Binary 100-digit challenge using IEEE-754 coded numerical optimization scenarios (100b-digit) and V-shape binary distance-based success history differential evolution (DISHv)

• Aleš Zamuda

WORKSHOP SESSION: Workshop paper: Workshop medical applications of genetic and evolutionary computation

Can clustering improve glucose forecasting with genetic programming models?

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

Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI

• Paulo Lapa
• Ivo Gonçalves
• Leonardo Rundo
• Mauro Castelli

A new evolutionary rough fuzzy integrated machine learning technique for microRNA selection using next-generation sequencing data of breast cancer

• Jnanendra Prasad Sarkar
• Indrajit Saha
• Somnath Rakshit
• Monalisa Pal
• Michal Wlasnowolski
• Anasua Sarkar
• Ujjwal Maulik
• Dariusz Plewczynski

Application of classification for figure copying test in Parkinson's disease diagnosis by using cartesian genetic programming

• Tian Xia
• Jeremy Cosgrove
• Jane Alty
• Stuart Jamieson
• Stephen Smith

WORKSHOP SESSION: Workshop paper: Workshop visualisation methods in genetic and evolutionary computation

An analysis of dimensionality reduction techniques for visualizing evolution

• Andrea De Lorenzo
• Eric Medvet
• Tea Tušar
• Alberto Bartoli

WORKSHOP SESSION: Workshop paper: Workshop on evolutionary algorithms for smart grids

Business models for flexibility of electric vehicles: evolutionary computation for a successful implementation

• Fernando Lezama
• Joao Soares
• Ricardo Faia
• Zita Vale
• Leonardo H. Macedo
• Rubén Romero

WORKSHOP SESSION: Workshop paper: Workshop new standards for benchmarking in evolutionary computation research

Comparison of contemporary evolutionary algorithms on the rotated Klee-Minty problem

• Michael Hellwig
• Patrick Spettel
• Hans-Georg Beyer

Exploring the MLDA benchmark on the nevergrad platform

• Jeremy Rapin
• Marcus Gallagher
• Pascal Kerschke
• Mike Preuss
• Olivier Teytaud

WORKSHOP SESSION: Workshop paper: Workshop black-box-optimization benchmarking

Benchmarking the ATM algorithm on the BBOB 2009 noiseless function testbed

• Benjamin Bodner

Benchmarking algorithms from the platypus framework on the biobjective bbob-biobj testbed

• Dimo Brockhoff
• Tea Tušar

The impact of sample volume in random search on the bbob test suite

• Dimo Brockhoff
• Nikolaus Hansen

Benchmarking MO-CMA-ES and COMO-CMA-ES on the bi-objective bbob-biobj testbed

• Paul Dufossé
• Cheikh Touré

Benchmarking GNN-CMA-ES on the BBOB noiseless testbed

• Louis Faury
• Clément Calauzènes
• Olivier Fercoq

Benchmarking large scale variants of CMA-ES and L-BFGS-B on the bbob-largescale testbed

• Konstantinos Varelas

Benchmarking multivariate solvers of SciPy on the noiseless testbed

• Konstantinos Varelas
• Marie-Ange Dahito

WORKSHOP SESSION: Workshop paper: Workshop computational intelligence in aerospace science and engineering

Structured-chromosome GA optimisation for satellite tracking

• Lorenzo Gentile
• Cristian Greco
• Edmondo Minisci
• Thomas Bartz-Beielstein
• Massimiliano Vasile

Determination of microscopic residual stresses using evolutionary algorithms

• J. Ignacio Hidalgo
• Ricardo Fernández
• J. Manuel Colmenar
• Oscar Garnica
• Juan Lanchares
• Gaspar González-Doncel

Interplanetary transfers via deep representations of the optimal policy and/or of the value function

• Dario Izzo
• Ekin Öztürk
• Marcus Märtens

Hybridizing differential evolution and novelty search for multimodal optimization problems

• Aritz D. Martinez
• Eneko Osaba
• Izaskun Oregi
• Iztok Fister
• Iztok Fister
• Javier Del Ser

Benchmarking constrained surrogate-based optimization on low speed airfoil design problems

• Pramudita Satria Palar
• Yohanes Bimo Dwianto
• Rommel G. Regis
• Akira Oyama
• Lavi Rizki Zuhal

Solving multi-objective dynamic travelling salesman problems by relaxation

• Lorenzo A. Ricciardi
• Massimiliano Vasile

Immune and genetic hybrid optimization algorithm for data relay satellite with microwave and laser links

• Weihu Zhao
• Guijin Xia
• Cheng Dong
• Wei Li
• Shuai Ren
• Yinghui Xue
• Shuwen Chen
• Xiya Chen

WORKSHOP SESSION: Student workshop paper: Student workshop

Meta-genetic programming for static quantum circuits

• Kenton M. Barnes
• Michael B. Gale

Limited memory, limited arity unbiased black-box complexity: first insights

• Nina Bulanova
• Maxim Buzdalov

On the construction of pareto-compliant quality indicators

• Jesús Guillermo Falcón-Cardona
• Michael T. M. Emmerich
• Carlos A. Coello Coello

Random subsampling improves performance in lexicase selection

• Jose Guadalupe Hernandez
• Alexander Lalejini
• Emily Dolson
• Charles Ofria

Adaptive landscape analysis

• Anja Janković
• Carola Doerr

Theoretical and empirical study of the (1 + (λ, λ)) EA on the leadingones problem

• Vitalii Karavaev
• Denis Antipov
• Benjamin Doerr

Evolution and self-teaching in neural networks: another comparison when the agent is more primitively conscious

• Nam Le

Dynamic compartmental models for algorithm analysis and population size estimation

• Hugo Monzón
• Hernán Aguirre
• Sébastien Verel
• Arnaud Liefooghe
• Bilel Derbel
• Kiyoshi Tanaka

Expressiveness and robustness of landscape features

• Quentin Renau
• Johann Dreo
• Carola Doerr
• Benjamin Doerr

A biased random key genetic algorithm for the weighted independent domination problem

• Guillem Rodríguez Corominas
• Christian Blum
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