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TOC GECCO 2017

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

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

Full Citation in the ACM Digital Library

SESSION: Keynote talks

Computational approaches in cancer genomics

  • Francesca Ciccarelli

Curious and creative machines

  • Hod Lipson

Evolving brains in evolving environments

  • Drew Purves
  • Chrisantha Fernando

SESSION: Ant colony optimization and swarm intelligence

CycloAnt: sequencing cyclic peptides using hybrid ants

  • Sujata Baral
  • Swakkhar Shatabda
  • Mahmood A Rashid

Fitness-distance-ratio particle swarm optimization: stability analysis

  • Christopher W Cleghorn
  • Andries P Engelbrecht

Analysis of independent roulette selection in parallel ant colony optimization

  • Huw Lloyd
  • Martyn Amos

Coordinating a team of searchers: of ants, swarms, and slime molds

  • Silja Meyer-Nieberg

A multi-UAV minimum time search planner based on ACOR

  • Sara Perez-Carabaza
  • Julian Bermudez-Ortega
  • Eva Besada-Portas
  • Jose A. Lopez-Orozco
  • Jesus M. de la Cruz

Estimating stop conditions of swarm based stochastic metaheuristic algorithms

  • Peter Frank Perroni
  • Daniel Weingaertner
  • Myriam Regattieri Delgado

PSO-based parameters selection for the bilateral filter in image denoising

  • Chengyan Wang
  • Bing Xue
  • Lin Shang

SESSION: Complex systems (artificial life/artificial immune systems/robotics/evolvable hardware/generative and developmental systems)

Evolutionary optimization of self-assembly in a swarm of bio-micro-robots

  • Nathanael Aubert-Kato
  • Charles Fosseprez
  • Guillaume Gines
  • Ibuki Kawamata
  • Huy Dinh
  • Leo Cazenille
  • Andre Estevez-Tores
  • Masami Hagiya
  • Yannick Rondelez
  • Nicolas Bredeche

Minimal criterion coevolution: a new approach to open-ended search

  • Jonathan C. Brant
  • Kenneth O. Stanley

On the runtime analysis of the opt-IA artificial immune system

  • Dogan Corus
  • Pietro S. Oliveto
  • Donya Yazdani

A comparison of genetic regulatory network dynamics and encoding

  • Jean Disset
  • Dennis G Wilson
  • Sylvain Cussat-Blanc
  • Stéphane Sanchez
  • Hervé Luga
  • Yves Duthen

Data-efficient exploration, optimization, and modeling of diverse designs through surrogate-assisted illumination

  • Adam Gaier
  • Alexander Asteroth
  • Jean-Baptiste Mouret

Coupling novelty and surprise for evolutionary divergence

  • Daniele Gravina
  • Antonios Liapis
  • Georgios N. Yannakakis

Alternate social theory discovery using genetic programming: towards better understanding the artificial anasazi

  • Chathika Gunaratne
  • Ivan Garibay

On self-adaptive rate restarts for evolutionary robotics with real rotorcraft

  • Gerard David Howard

A minimal developmental model can increase evolvability in soft robots

  • Sam Kriegman
  • Nick Cheney
  • Francesco Corucci
  • Josh C. Bongard

Discovering evolutionary stepping stones through behavior domination

  • Elliot Meyerson
  • Risto Miikkulainen

Effect of animat complexity on the evolution of hierarchical control

  • Jared M. Moore
  • Anthony J. Clark
  • Philip K. McKinley

An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics

  • Andreas Steyven
  • Emma Hart
  • Ben Paechter

Vascular morphogenesis controller: a generative model for developing morphology of artificial structures

  • Payam Zahadat
  • Daniel Nicolas Hofstadler
  • Thomas Schmickl

SESSION: Digital entertainment technologies and arts

Evolution of artistic image variants through feature based diversity optimisation

  • Brad Alexander
  • James Kortman
  • Aneta Neumann

Comparing direct and indirect encodings using both raw and hand-designed features in tetris

  • Lauren E. Gillespie
  • Gabriela R. Gonzalez
  • Jacob Schrum

Continual online evolutionary planning for in-game build order adaptation in StarCraft

  • Niels Justesen
  • Sebastian Risi

Multi-task learning in Atari video games with emergent tangled program graphs

  • Stephen Kelly
  • Malcolm I. Heywood

Multi-segment evolution of dungeon game levels

  • Antonios Liapis

Can you feel it?: evaluation of affective expression in music generated by MetaCompose

  • Marco Scirea
  • Peter Eklund
  • Julian Togelius
  • Sebastian Risi

SESSION: Evolutionary combinatorial optimization and metaheuristics

Parameter-less late acceptance hill-climbing

  • Mosab Bazargani
  • Fernando G. Lobo

Automatic design of multi-objective local search algorithms: case study on a bi-objective permutation flowshop scheduling problem

  • Aymeric Blot
  • Laetitia Jourdan
  • Marie-Éléonore Kessaci

Approximating optimization problems using EAs on scale-free networks

  • Ankit Chauhan
  • Tobias Friedrich
  • Francesco Quinzan

Configuring irace using surrogate configuration benchmarks

  • Nguyen Dang
  • Leslie Pérez Cáceres
  • Patrick De Causmaecker
  • Thomas Stützle

Hybrid metaheuristic for combinatorial optimization based on immune network for optimization and VNS

  • Rodney O. M. Diana
  • Sérgio R. de Souza
  • Elizabeth F. Wanner
  • Moacir F. França Filho

Community structure detection in multipartite networks: a new fitness measure

  • Noémi Gaskó
  • Florentin Bota
  • Mihai Suciu
  • Rodica Ioana Lung

Shaping communities of local optima by perturbation strength

  • Sebastian Herrmann
  • Matthias Herrmann
  • Gabriela Ochoa
  • Franz Rothlauf

Multimodal truss structure design using bilevel and niching based evolutionary algorithms

  • Md. Jakirul Islam
  • Xiaodong Li
  • Kalyanmoy Deb

Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty

  • Deepak Karunakaran
  • Yi Mei
  • Gang Chen
  • Mengjie Zhang

Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem

  • Yuxin Liu
  • Yi Mei
  • Mengjie Zhang
  • Zili Zhang

Combining two local searches with crossover: an efficient hybrid algorithm for the traveling salesman problem

  • Weichen Liu
  • Thomas Weise
  • Yuezhong Wu
  • Qi Qi

Evolutionary algorithms for the design of orthogonal latin squares based on cellular automata

  • Luca Mariot
  • Stjepan Picek
  • Domagoj Jakobovic
  • Alberto Leporati

Heuristic rope team: a parallel algorithm for graph coloring

  • Laurent Moalic
  • Alexandre Gondran

Just-in-time batch scheduling problem with two-dimensional bin packing constraints

  • Sergey Polyakovskiy
  • Alexander Makarowsky
  • Rym M'Hallah

Building a better heuristic for the traveling salesman problem: combining edge assembly crossover and partition crossover

  • Danilo Sanches
  • Darrell Whitley
  • Renato Tinós

Improving an exact solver for the traveling salesman problem using partition crossover

  • Danilo Sanches
  • Darrell Whitley
  • Renato Tinós

Distributed evolutionary k-way node separators

  • Peter Sanders
  • Christian Schulz
  • Darren Strash
  • Robert Williger

Fragment-based genetic programming for fully automated multi-objective web service composition

  • Alexandre Sawczuk da Silva
  • Yi Mei
  • Hui Ma
  • Mengjie Zhang

On feasible and infeasible search for equitable graph coloring

  • Wen Sun
  • Jin-Kao Hao
  • Xiangjing Lai
  • Qinghua Wu

Comparing communities of optima with funnels in combinatorial fitness landscapes

  • Sarah L. Thomson
  • Fabio Daolio
  • Gabriela Ochoa

SESSION: Evolutionary machine learning

Feature selection using stochastic diffusion search

  • Haya Alhakbani
  • Mohammad Majid al-Rifaie

Sensitivity-like analysis for feature selection in genetic programming

  • Grant Dick

PAC models in stochastic multi-objective multi-armed bandits

  • Madalina M. Drugan

Biogeography-based rule mining for classification

  • Effat Farhana
  • Steffen Heber

Evolving parsimonious networks by mixing activation functions

  • Alexander Hagg
  • Maximilian Mensing
  • Alexander Asteroth

Automatic design of ant-miner mixed attributes for classification rule discovery

  • Ayah Helal
  • Fernando E. B. Otero

Evolving memory-augmented neural architecture for deep memory problems

  • Shauharda Khadka
  • Jen Jen Chung
  • Kagan Tumer

GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach

  • Andrew Lensen
  • Bing Xue
  • Mengjie Zhang

Accelerating coevolution with adaptive matrix factorization

  • Paweł Liskowski
  • Wojciech Jaśkowski

Neuroevolution on the edge of chaos

  • Filip Matzner

Theoretical XCS parameter settings of learning accurate classifiers

  • Masaya Nakata
  • Will Browne
  • Tomoki Hamagami
  • Keiki Takadama

Particle swarm optimization for hyper-parameter selection in deep neural networks

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

Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming

  • Andrew Sohn
  • Randal S. Olson
  • Jason H. Moore

A genetic programming approach to designing convolutional neural network architectures

  • Masanori Suganuma
  • Shinichi Shirakawa
  • Tomoharu Nagao

Automatic adjustment of selection pressure based on range of reward in learning classifier system

  • Takato Tatsumi
  • Hiroyuki Sato
  • Keiki Takadama

An evolutionary algorithm for discovering multi-relational association rules in the semantic web

  • Minh Duc Tran
  • Claudia d'Amato
  • Binh Thanh Nguyen
  • Andrea G. B. Tettamanzi

Multiple imputation and genetic programming for classification with incomplete data

  • Cao Truong Tran
  • Mengjie Zhang
  • Peter Andreae
  • Bing Xue

Solving test case based problems with fuzzy dominance

  • Jason Zutty
  • Gregory Rohling

SESSION: Evolutionary multiobjective optimization

The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm

  • Anton Bouter
  • Ngoc Hoang Luong
  • Cees Witteveen
  • Tanja Alderliesten
  • Peter A. N. Bosman

Multimodal scalarized preferences in multi-objective optimization

  • Marlon Braun
  • Lars Heling
  • Pradyumn Shukla
  • Hartmut Schmeck

Speeding up evolutionary multi-objective optimisation through diversity-based parent selection

  • Edgar Covantes Osuna
  • Wanru Gao
  • Frank Neumann
  • Dirk Sudholt

On the importance of isolated solutions in constrained decomposition-based many-objective optimization

  • Maha Elarbi
  • Slim Bechikh
  • Lamjed Ben Said

Robust multiobjective optimization using regression models and linear subproblems

  • Fillipe Goulart
  • Sílvio T. Borges
  • Fernanda C. Takahashi
  • Felipe Campelo

A hyper-heuristic of scalarizing functions

  • Raquel Hernández Gómez
  • Carlos A. Coello Coello

Reference point specification in hypervolume calculation for fair comparison and efficient search

  • Hisao Ishibuchi
  • Ryo Imada
  • Yu Setoguchi
  • Yusuke Nojima

Progressively adding objectives: a case study in anomaly detection

  • Luis Martí
  • Arsene Fansi-Tchango
  • Laurent Navarro
  • Marc Schoenauer

Simulation-based crossover for the firefighter problem

  • Krzysztof Michalak

Closed state model for understanding the dynamics of MOEAs

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

Multiobjective data mining from solutions by evolutionary multiobjective optimization

  • Yusuke Nojima
  • Yuki Tanigaki
  • Hisao Ishibuchi

Metamodeling for multimodal selection functions in evolutionary multi-objective optimization

  • Proteek Roy
  • Rayan Hussein
  • Kalyanmoy Deb

Benchmarking MOEAs for multi- and many-objective optimization using an unbounded external archive

  • Ryoji Tanabe
  • Akira Oyama

Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression

  • Mengyuan Wu
  • Sam Kwong
  • Yuheng Jia
  • Ke Li
  • Qingfu Zhang

Improved incremental non-dominated sorting for steady-state evolutionary multiobjective optimization

  • Ilya Yakupov
  • Maxim Buzdalov

SESSION: Evolutionary numerical optimization

Deriving and improving CMA-ES with information geometric trust regions

  • Abbas Abdolmaleki
  • Bob Price
  • Nuno Lau
  • Luis Paulo Reis
  • Gerhard Neumann

Reconsidering constraint release for active-set evolution strategies

  • Dirk V. Arnold

Constraint handling in efficient global optimization

  • Samineh Bagheri
  • Wolfgang Konen
  • Richard Allmendinger
  • Jürgen Branke
  • Kalyanmoy Deb
  • Jonathan Fieldsend
  • Domenico Quagliarella
  • Karthik Sindhya

Per instance algorithm configuration of CMA-ES with limited budget

  • Nacim Belkhir
  • Johann Dréo
  • Pierre Savéant
  • Marc Schoenauer

Analysis of the pcCMSA-ES on the noisy ellipsoid model

  • Hans-Georg Beyer
  • Michael Hellwig

A cooperative co-evolutionary algorithm for solving large-scale constrained problems with interaction detection

  • Julien Blanchard
  • Charlotte Beauthier
  • Timoteo Carletti

Exploiting linkage information in real-valued optimization with the real-valued gene-pool optimal mixing evolutionary algorithm

  • Anton Bouter
  • Tanja Alderliesten
  • Cees Witteveen
  • Peter A. N. Bosman

Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning

  • S. C. Maree
  • T. Alderliesten
  • D. Thierens
  • P. A. N. Bosman

Effect of the mean vector learning rate in CMA-ES

  • Hidekazu Miyazawa
  • Youhei Akimoto

TPAM: a simulation-based model for quantitatively analyzing parameter adaptation methods

  • Ryoji Tanabe
  • Alex Fukunaga

Algorithm configuration data mining for CMA evolution strategies

  • Sander van Rijn
  • Hao Wang
  • Bas van Stein
  • Thomas Bäck

SESSION: Genetic algorithms

Two-edge graphical linkage model for DSMGA-II

  • Ping-Lin Chen
  • Chun-Jen Peng
  • Chang-Yi Lu
  • Tian-Li Yu

Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search

  • Francisco Chicano
  • Darrell Whitley
  • Gabriela Ochoa
  • Renato Tinós

Genetic algorithm for epidemic mitigation by removing relationships

  • Fernando Concatto
  • Wellington Zunino
  • Luigi A. Giancoli
  • Rafael Santiago
  • Luís C. Lamb

The role of crossover operator in bayesian network structure learning performance: a comprehensive comparative study and new insights

  • Carlo Contaldi
  • Fatemeh Vafaee
  • Peter C. Nelson

Fast genetic algorithms

  • Benjamin Doerr
  • Huu Phuoc Le
  • Régis Makhmara
  • Ta Duy Nguyen

Real-polarized genetic algorithm for the three-dimensional bin packing problem

  • André Homem Dornas
  • Flávio Vinícius Cruzeiro Martins
  • João Fernando Machry Sarubbi
  • Elizabeth Fialho Wanner

A genetic algorithm for fair land allocation

  • Alex Gliesch
  • Marcus Ritt
  • Mayron C. O. Moreira

Automatic generation of domain-specific genetic algorithm operators using the hierarchical bayesian optimization algorithm

  • Cezary Z Janikow
  • Mark Hauschild

Speeding up DSMGA-II on CUDA platform

  • Sung-Chi Li
  • Tian-Li Yu

Evolutionary image composition using feature covariance matrices

  • Aneta Neumann
  • Zygmunt L. Szpak
  • Wojciech Chojnacki
  • Frank Neumann

Different scenarios for survival analysis of evolutionary algorithms

  • Roberto Santana
  • Jose A. Lozano

EGAC: a genetic algorithm to compare chemical reaction networks

  • Stefano Tognazzi
  • Mirco Tribastone
  • Max Tschaikowski
  • Andrea Vandin

A diversity preservation scheme for DSMGA-II to conquer the hierarchical difficulty

  • Jheng-Ying Yu
  • I-Ting Chen
  • Tian-Li Yu

SESSION: General evolutionary computation and hybrids

On the runtime analysis of generalised selection hyper-heuristics for pseudo-boolean optimisation

  • Andrei Lissovoi
  • Pietro S. Oliveto
  • John Alasdair Warwicker

Theoretical results on bet-and-run as an initialisation strategy

  • Andrei Lissovoi
  • Dirk Sudholt
  • Markus Wagner
  • Christine Zarges

Parallel evolutionary algorithm with interleaving generations

  • Martin Pilát
  • Roman Neruda

Alternative infill strategies for expensive multi-objective optimisation

  • Alma A. M. Rahat
  • Richard M. Everson
  • Jonathan E. Fieldsend

Investigating uncertainty propagation in surrogate-assisted evolutionary algorithms

  • Vanessa Volz
  • Günter Rudolph
  • Boris Naujoks

Time complexity reduction in efficient global optimization using cluster kriging

  • Hao Wang
  • Bas van Stein
  • Michael Emmerich
  • Thomas Bäck

Reexpressing problematic optimization data: creating a workflow for the statistical analysis of multifactorial EC experiments

  • Mark Wineberg
  • Sebastian Lenartowicz

Simulation-based test functions for optimization algorithms

  • Martin Zaefferer
  • Andreas Fischbach
  • Boris Naujoks
  • Thomas Bartz-Beielstein

SESSION: Genetic programming

Self-adaptation of genetic operators through genetic programming techniques

  • Andres Felipe Cruz-Salinas
  • Jonatan Gomez Perdomo

Bounding bloat in genetic programming

  • Benjamin Doerr
  • Timo Kötzing
  • J. A. Gregor Lagodzinski
  • Johannes Lengler

Unsure when to stop?: ask your semantic neighbors

  • Ivo Gonçalves
  • Sara Silva
  • Carlos M. Fonseca
  • Mauro Castelli

Improving generalization of evolved programs through automatic simplification

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

Properties of a GP active learning framework for streaming data with class imbalance

  • Sara Khanchi
  • Malcolm I. Heywood
  • A. Nur Zincir-Heywood

Counterexample-driven genetic programming

  • Krzysztof Krawiec
  • Iwo Błądek
  • Jerry Swan

Ensemble representation learning: an analysis of fitness and survival for wrapper-based genetic programming methods

  • William La Cava
  • Jason H. Moore

Discovery of search objectives in continuous domains

  • Paweł Liskowski
  • Krzysztof Krawiec

Evolvability in grammatical evolution

  • Eric Medvet
  • Fabio Daolio
  • Danny Tagliapietra

How noisy data affects geometric semantic genetic programming

  • Luis F. Miranda
  • Luiz Otavio V. B. Oliveira
  • Joao Francisco B. S. Martins
  • Gisele L. Pappa

Geometric semantic genetic programming for recursive boolean programs

  • Alberto Moraglio
  • Krzysztof Krawiec

Combining conformal prediction and genetic programming for symbolic interval regression

  • Pham Thi Thuong
  • Nguyen Xuan Hoai
  • Xin Yao

Coevolving deep hierarchies of programs to solve complex tasks

  • Robert J. Smith
  • Malcolm I. Heywood

A probabilistic linear genetic programming with stochastic context-free grammar for solving symbolic regression problems

  • Léo Françoso Dal Piccol Sotto
  • Vinícius Veloso de Melo

A hybrid genetic programming decision making system for RoboCup soccer simulation

  • Amir Tavafi
  • Wolfgang Banzhaf

Genetic programming based feature construction for classification with incomplete data

  • Cao Truong Tran
  • Mengjie Zhang
  • Peter Andreae
  • Bing Xue

Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building-block learning

  • Marco Virgolin
  • Tanja Alderliesten
  • Cees Witteveen
  • Peter A. N. Bosman

SESSION: Real world applications

An embedded system architecture based on genetic algorithms for mission and safety planning with UAV

  • Jesimar da Silva Arantes
  • Márcio da Silva Arantes
  • Claudio Fabiano Motta Toledo
  • Onofre Trindade Júnior
  • Brian C. Williams

Multi-objective optimization of level of service in urban transportation

  • Rolando Armas
  • Hernan Aguirre
  • Kiyoshi Tanaka

Handling practicalities in agricultural policy optimization for water quality improvements

  • Brad Barnhart
  • Zhichao Lu
  • Moriah Bostian
  • Ankur Sinha
  • Kalyanmoy Deb
  • Luba Kurkalova
  • Manoj Jha
  • Gerald Whittaker

Optimizing the decomposition of time series using evolutionary algorithms: soil moisture analytics

  • Aniruddha Basak
  • Ole J. Mengshoel
  • Chinmay Kulkarni
  • Kevin Schmidt
  • Prathi Shastry
  • Rao Rapeta

Protein design by multiobjective optimization: evolutionary and non-evolutionary approaches

  • Sandeep V. Belure
  • Ofer M. Shir
  • Vikas Nanda

Evolving a real-time evacuation for urban disaster management

  • Keith J. Drew
  • Robert B. Heckendorn
  • Ahmed Abdel-Rahim
  • Homaja Pydi Kumar Marisetty
  • Anton Stalick

University staff teaching allocation: formulating and optimising a many-objective problem

  • Jonathan E. Fieldsend

Monopolies can exist in unmanned airspace

  • Scott Forer
  • Logan Yliniemi

The evolution of neural network-based chart patterns: a preliminary study

  • Myoung Hoon Ha
  • Byung-Ro Moon

A hybrid method for feature construction and selection to improve wind-damage prediction in the forestry sector

  • Emma Hart
  • Kevin Sim
  • Barry Gardiner
  • Kana Kamimura

Searching for nonlinear relationships in fMRI data with symbolic regression

  • James Alexander Hughes
  • Mark Daley

Towards solving large-scale precedence constrained production scheduling problems in mining

  • Angus Kenny
  • Xiaodong Li
  • Andreas T. Ernst
  • Dhananjay Thiruvady

Optimizing nucleic acid sequences for a molecular data recorder

  • Jerzy Kozyra
  • Harold Fellermann
  • Ben Shirt-Ediss
  • Annunziata Lopiccolo
  • Natalio Krasnogor

Automatic generation of optimal quantum key distribution protocols

  • Walter O. Krawec
  • Michael G. Nelson
  • Eric P. Geiss

Accurate mixed weibull distribution fitting by differential evolution

  • Pavel Krömer
  • Jana Heckenbergerová
  • Petr Musilek

Solving structures of pigment-protein complexes as inverse optimization problems using decomposition

  • Yigal Lahav
  • Ofer M. Shir
  • Dror Noy

Evolutionary approach to optimization of data representation for classification of patterns in financial ultra-high frequency time series

  • Piotr Lipinski

Solving a supply-chain management problem using a bilevel approach

  • Zhichao Lu
  • Kalyanmoy Deb
  • Erik Goodman
  • John Wassick

Conversion rate optimization through evolutionary computation

  • Risto Miikkulainen
  • Neil Iscoe
  • Aaron Shagrin
  • Ron Cordell
  • Sam Nazari
  • Cory Schoolland
  • Myles Brundage
  • Jonathan Epstein
  • Randy Dean
  • Gurmeet Lamba

Optimization of monitoring in dynamic communication networks using a hybrid evolutionary algorithm

  • Robin Mueller-Bady
  • Martin Kappes
  • Inmaculada Medina-Bulo
  • Francisco Palomo-Lozano

Enhanced genetic path planning for autonomous flight

  • Vincent R. Ragusa
  • H. David Mathias
  • Vera A. Kazakova
  • Annie S. Wu

A knee point based evolutionary multi-objective optimization for mission planning problems

  • Cristian Ramirez-Atencia
  • Sanaz Mostaghim
  • David Camacho

Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm

  • Krzysztof L. Sadowski
  • Marjolein C. van der Meer
  • Ngoc Hoang Luong
  • Tanja Alderliesten
  • Dirk Thierens
  • Rob van der Laarse
  • Yury Niatsetski
  • Arjan Bel
  • Peter A. N. Bosman

An adaptive prioritized ε-preferred evolutionary algorithm for approximate BDD optimization

  • Saeideh Shirinzadeh
  • Mathias Soeken
  • Daniel Große
  • Rolf Drechsler

Computing new optimized routes for GPS navigators using evolutionary algorithms

  • Daniel H. Stolfi
  • Enrique Alba

Fast pedestrian detection using multimodal estimation of distribution algorithms

  • Da-Zhao Tan
  • Wei-Neng Chen
  • Jun Zhang
  • Wei-Jie Yu

Heuristic allocation of computational resources

  • Silviu Tofan
  • Richard Allmendinger
  • Manuela Zanda
  • Olly Stephens

Evolving solution choice and decision support for a real-world optimisation problem

  • Neil Urquhart
  • Achille Fonzone

Evolutionary decomposition for 3D printing

  • Eric A. Yu
  • Jin Yeom
  • Cem C. Tutum
  • Etienne Vouga
  • Risto Miikkulainen

SESSION: Search-based software engineering

A search for improved performance in regular expressions

  • Brendan Cody-Kenny
  • Michael Fenton
  • Adrian Ronayne
  • Eoghan Considine
  • Thomas McGuire
  • Michael O'Neill

A penalty-based Tabu search for constrained covering arrays

  • Philippe Galinier
  • Segla Kpodjedo
  • Giulio Antoniol

Empirical evaluation of conditional operators in GP based fault localization

  • Dahyun Kang
  • Jeongju Sohn
  • Shin Yoo

A context-based refactoring recommendation approach using simulated annealing: two industrial case studies

  • Marouane Kessentini
  • Troh Josselin Dea
  • Ali Ouni

Multi-objective black-box test case selection for system testing

  • Remo Lachmann
  • Michael Felderer
  • Manuel Nieke
  • Sandro Schulze
  • Christoph Seidl
  • Ina Schaefer

Mining cross product line rules with multi-objective search and machine learning

  • Safdar Aqeel Safdar
  • Hong Lu
  • Tao Yue
  • Shaukat Ali

Active coevolutionary learning of requirements specifications from examples

  • Marcel Wever
  • Lorijn van Rooijen
  • Heiko Hamann

An adaptive fitness function based on branch hardness for search based testing

  • Xiong Xu
  • Ziming Zhu
  • Li Jiao

SESSION: Theory

Runtime analysis of the (1 + (λ, λ)) genetic algorithm on random satisfiable 3-CNF formulas

  • Maxim Buzdalov
  • Benjamin Doerr

The (1+λ) evolutionary algorithm with self-adjusting mutation rate

  • Benjamin Doerr
  • Christian Gießen
  • Carsten Witt
  • Jing Yang

Island models meet rumor spreading

  • Benjamin Doerr
  • Philipp Fischbeck
  • Clemens Frahnow
  • Tobias Friedrich
  • Timo Kötzing
  • Martin Schirneck

Unknown solution length problems with no asymptotically optimal run time

  • Benjamin Doerr
  • Carola Doerr
  • Timo Kötzing

Sorting by swaps with noisy comparisons

  • Tomáš Gavenčiak
  • Barbara Geissmann
  • Johannes Lengler

Improved runtime bounds for the univariate marginal distribution algorithm via anti-concentration

  • Per Kristian Lehre
  • Phan Trung Hai Nguyen

When is it beneficial to reject improvements?

  • Samadhi Nallaperuma
  • Pietro S. Oliveto
  • Jorge Pérez Heredia
  • Dirk Sudholt

Running time analysis of the (1+1)-EA for onemax and leadingones under bit-wise noise

  • Chao Qian
  • Chao Bian
  • Wu Jiang
  • Ke Tang

Reoptimization times of evolutionary algorithms on linear functions under dynamic uniform constraints

  • Feng Shi
  • Martin Schirneck
  • Tobias Friedrich
  • Timo Kötzing
  • Frank Neumann

Upper bounds on the runtime of the univariate marginal distribution algorithm on onemax

  • Carsten Witt