GECCO '19- Proceedings of the Genetic and Evolutionary Computation Conference

Full Citation in the ACM Digital Library

SESSION: Keynote talk

Evolution, robotics and the somersaulting spider

Genetic programming methods for reinforcement learning

Challenges for learning in complex environments

SESSION: Ant colony optimization and swarm intelligence

AMclr: an improved ant-miner to extract comprehensible and diverse classification rules

A stable hybrid method for feature subset selection using particle swarm optimization with local search

Control parameter sensitivity analysis of the multi-guide particle swarm optimization algorithm

A peek into the swarm: analysis of the gravitational search algorithm and recommendations for parameter selection

Simultaneous meta-data and meta-classifier selection in multiple classifier system

Scaling techniques for parallel ant colony optimization on large problem instances

On the selection of the optimal topology for particle swarm optimization: a study of the tree as the universal topology

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

When mating improves on-line collective robotics

Benchmarking open-endedness in minimal criterion coevolution

Autonomous skill discovery with quality-diversity and unsupervised descriptors

Selection mechanisms affect volatility in evolving markets

Novelty search: a theoretical perspective

Evolvability ES: scalable and direct optimization of evolvability

Modeling user selection in quality diversity

Effects of environmental conditions on evolved robot morphologies and behavior

Evolved embodied phase coordination enables robust quadruped robot locomotion

POET: open-ended coevolution of environments and their optimized solutions

Learning with delayed synaptic plasticity

SESSION: Digital entertainment technologies and arts

Mapping hearthstone deck spaces through MAP-elites with sliding boundaries

Tile pattern KL-divergence for analysing and evolving game levels

Evolving dota 2 shadow fiend bots using genetic programming with external memory

On the impact of domain-specific knowledge in evolutionary music composition

SESSION: Evolutionary combinatorial optimization and metaheuristics

Algorithm selection using deep learning without feature extraction

Route planning for cooperative air-ground robots with fuel constraints: an approach based on CMSA

On inversely proportional hypermutations with mutation potential

Adaptive large neighborhood search for scheduling of mobile robots

Fast re-optimization via structural diversity

When resampling to cope with noise, use median, not mean

A generic approach to districting with diameter or center-based objectives

A memetic algorithm approach to network alignment: mapping the classification of mental disorders of DSM-IV with ICD-10

Characterising the rankings produced by combinatorial optimisation problems and finding their intersections

Predict or screen your expensive assay: DoE vs. surrogates in experimental combinatorial optimization

A characterisation of S-box fitness landscapes in cryptography

An improved merge search algorithm for the constrained pit problem in open-pit mining

Walsh functions as surrogate model for pseudo-boolean optimization problems

Fitness comparison by statistical testing in construction of SAT-based guess-and-determine cryptographic attacks

Application of CMSA to the minimum capacitated dominating set problem

Investigation of the traveling thief problem

Evolutionary algorithms for the chance-constrained knapsack problem

A two-stage genetic programming hyper-heuristic approach with feature selection for dynamic flexible job shop scheduling

SESSION: Evolutionary machine learning

Lexicase selection in learning classifier systems

An automated ensemble learning framework using genetic programming for image classification

COEGAN: evaluating the coevolution effect in generative adversarial networks

Efficient personalized community detection via genetic evolution

Auto-CVE: a coevolutionary approach to evolve ensembles in automated machine learning

Evolutionary neural AutoML for deep learning

Absumption to complement subsumption in learning classifier systems

NSGA-Net: neural architecture search using multi-objective genetic algorithm

Improvement of code fragment fitness to guide feature construction in XCS

Population-based ensemble classifier induction for domain adaptation

Investigating recurrent neural network memory structures using neuro-evolution

Deep neuroevolution of recurrent and discrete world models

Evolving controllably difficult datasets for clustering

Spatial evolutionary generative adversarial networks

Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification

Evolving deep neural networks by multi-objective particle swarm optimization for image classification

SESSION: Evolutionary multiobjective optimization

A parameterless performance metric for reference-point based multi-objective evolutionary algorithms

Surrogate-assisted multiobjective optimization based on decomposition: a comprehensive comparative analysis

On the benefits of biased edge-exchange mutation for the multi-criteria spanning tree problem

Convergence and diversity analysis of indicator-based multi-objective evolutionary algorithms

Efficient real-time hypervolume estimation with monotonically reducing error

A feature rich distance-based many-objective visualisable test problem generator

Cooperative based hyper-heuristic for many-objective optimization

Challenges of convex quadratic bi-objective benchmark problems

Real-valued evolutionary multi-modal multi-objective optimization by hill-valley clustering

A 'phylogeny-aware' multi-objective optimization approach for computing MSA

Constrained multiobjective distance minimization problems

An adaptive evolutionary algorithm based on non-euclidean geometry for many-objective optimization

Multi-objective evolutionary algorithm for DNA codeword design

Non-elitist evolutionary multi-objective optimizers revisited

Archiver effects on the performance of state-of-the-art multi- and many-objective evolutionary algorithms

Robust indicator-based algorithm for interactive evolutionary multiple objective optimization

Uncrowded hypervolume improvement: COMO-CMA-ES and the sofomore framework

Single- and multi-objective game-benchmark for evolutionary algorithms

A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization

SESSION: Evolutionary numerical optimization

A global surrogate assisted CMA-ES

Analysis of a meta-ES on a conically constrained problem

Large-scale noise-resilient evolution-strategies

Landscape analysis of gaussian process surrogates for the covariance matrix adaptation evolution strategy

Adaptive ranking based constraint handling for explicitly constrained black-box optimization

Deep reinforcement learning based parameter control in differential evolution

Mixed-integer benchmark problems for single- and bi-objective optimization

A surrogate model assisted (1+1)-ES with increased exploitation of the model

SESSION: Genetic algorithms

Parallelism and partitioning in large-scale GAs using spark

A genetic algorithm hybridisation scheme for effective use of parallel workers

Convolutional neural network surrogate-assisted GOMEA

On improving the constraint-handling performance with modified multiple constraint ranking (MCR-mod) for engineering design optimization problems solved by evolutionary algorithms

A benefit-driven genetic algorithm for balancing privacy and utility in database fragmentation

Resource optimization for elective surgical procedures using quantum-inspired genetic algorithms

An empirical evaluation of success-based parameter control mechanisms for evolutionary algorithms

Intentional computational level design

Parametrizing convection selection: conclusions from the analysis of performance in the NKq model

Evolutionary consequences of learning strategies in a dynamic rugged landscape

On the investigation of population sizing of genetic algorithms using optimal mixing

Multi-heap constraint handling in gray box evolutionary algorithms

Evolutionary diversity optimization using multi-objective indicators

A lexicographic genetic algorithm for hierarchical classification rule induction

Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates

A combination of two simple decoding strategies for the no-wait job shop scheduling problem

The massively parallel mixing genetic algorithm for the traveling salesman problem

SESSION: General evolutionary computation and hybrids

Adaptive objective selection for multi-fidelity optimization

Hyper-parameter tuning for the (1 + (λ, λ)) GA

Scenario co-evolution for reinforcement learning on a grid world smart factory domain

On the impact of the cutoff time on the performance of algorithm configurators

Surrogates for hierarchical search spaces: the wedge-kernel and an automated analysis

Meta-learning on flowshop using fitness landscape analysis

Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning

Algorithm portfolio for individual-based surrogate-assisted evolutionary algorithms

Online selection of CMA-ES variants

Using subpopulation EAs to map molecular structure landscapes

SESSION: Genetic programming

Evolving graphs with horizontal gene transfer

Solving symbolic regression problems with formal constraints

Gin: genetic improvement research made easy

Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament

Evolving boolean functions with conjunctions and disjunctions via genetic programming

What's inside the black-box?: a genetic programming method for interpreting complex machine learning models

Promoting semantic diversity in multi-objective genetic programming

Lexicase selection of specialists

On domain knowledge and novelty to improve program synthesis performance with grammatical evolution

Comparing and combining lexicase selection and novelty search

Semantic variation operators for multidimensional genetic programming

Teaching GP to program like a human software developer: using perplexity pressure to guide program synthesis approaches

On the role of non-effective code in linear genetic programming

Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression

Novel ensemble genetic programming hyper-heuristics for uncertain capacitated arc routing problem

SESSION: Real world applications

Optimising bus routes with fixed terminal nodes: comparing hyper-heuristics with NSGAII on realistic transportation networks

GenAttack: practical black-box attacks with gradient-free optimization

Evolving robust policies for community energy system management

Evolving stellar models to find the origins of our galaxy

Toward real-world vehicle placement optimization in round-trip carsharing

Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm

Relative evolutionary hierarchical analysis for gene expression data classification

Differential evolution based spatial filter optimization for brain-computer interface

EMOCS: evolutionary multi-objective optimisation for clinical scorecard generation

Optimizing evolutionary CSG tree extraction

EVA: an evolutionary architecture for network virtualization

Statistical learning in soil sampling design aided by pareto optimization

Towards better generalization in WLAN positioning systems with genetic algorithms and neural networks

Augmented evolutionary intelligence: combining human and evolutionary design for water distribution network optimisation

Optimising trotter-suzuki decompositions for quantum simulation using evolutionary strategies

GA-guided task planning for multiple-HAPS in realistic time-varying operation environments

Stability analysis for safety of automotive multi-product lines: a search-based approach

Structured grammatical evolution for glucose prediction in diabetic patients

Evolutionary learning of link allocation algorithms for 5G heterogeneous wireless communications networks

Surrogate-based optimization for reduction of contagion susceptibility in financial systems

Classification of EEG signals using genetic programming for feature construction

Well placement optimization under geological statistical uncertainty

A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters

Evolutionary approaches to dynamic earth observation satellites mission planning under uncertainty

A hybrid metaheuristic approach to a real world employee scheduling problem

A novel hybrid scheme using genetic algorithms and deep learning for the reconstruction of portuguese tile panels

Sentiment analysis with genetically evolved gaussian kernels

A hybrid multi-objective evolutionary algorithm for economic-environmental generation scheduling

An illumination algorithm approach to solving the micro-depot routing problem

Toward inverse generative social science using multi-objective genetic programming

Using a genetic algorithm with histogram-based feature selection in hyperspectral image classification

Functional generative design of mechanisms with recurrent neural networks and novelty search

Cloud-based dynamic distributed optimisation of integrated process planning and scheduling in smart factories

SESSION: Search-based software engineering

SQL data generation to enhance search-based system testing

Footprints of fitness functions in search-based software testing

Why train-and-select when you can use them all?: ensemble model for fault localisation

A hybrid evolutionary system for automatic software repair

Resource-based test case generation for RESTful web services

Improving search-based software testing by constraint-based genetic operators

SESSION: Theory

Runtime analysis of randomized search heuristics for dynamic graph coloring

On the benefits of populations for the exploitation speed of standard steady-state genetic algorithms

The efficiency threshold for the offspring population size of the (µ, λ) EA

Multiplicative up-drift

Self-adjusting mutation rates with provably optimal success rules

A tight runtime analysis for the cGA on jump functions: EDAs can cross fitness valleys at no extra cost

Runtime analysis of the univariate marginal distribution algorithm under low selective pressure and prior noise

Improved runtime results for simple randomised search heuristics on linear functions with a uniform constraint

Lower bounds on the runtime of crossover-based algorithms via decoupling and family graphs