GECCO '18- Proceedings of the Genetic and Evolutionary Computation Conference Companion

Full Citation in the ACM Digital Library

TUTORIAL SESSION: Tutorials: introductory tutorials

Search-based test optimization for software systems

• Shaukat Ali

GECCO 2018 tutorial on evolutionary multiobjective optimization

• Dimo Brockhoff

Evolutionary computation: a unified approach

• Kenneth De Jong

Theory for non-theoreticians: tutorial

• Benjamin Doerr

Shift your research & laboratory into higher gear with 3 shift skills & 4 smooth rules

• Dave Goldberg

Neuroevolution for deep reinforcement learning problems

• David Ha

A practical guide to experimentation

• Nikolaus Hansen

Runtime analysis of evolutionary algorithms: basic introduction

• Per Kristian Lehre
• Pietro S. Oliveto

Evolution of neural networks

• Risto Miikkulainen

Genetic programming: a tutorial introduction

• Una-May OReilly

Search-maps: visualising and exploiting the global structure of computational search spaces

• Gabriela Ochoa
• Nadarajen Veerapen

Representations for evolutionary algorithms

• Franz Rothlauf

Introductory mathematical programming for EC

• Ofer M. Shir

Model-based evolutionary algorithms: GECCO 2018 tutorial

• Dirk Thierens
• Peter A. N. Bosman

Evolutionary computation and games tutorial

• Julian Togelius
• Sebastian Risi
• Georgios Yannakakis

Introducing learning classifier systems: rules that capture complexity

• Ryan J. Urbanowicz
• Danilo Vasconcellos Vargas

Introductory statistics for EC: a visual approach

• Mark Wineberg

Hyper-heuristics tutorial

• Daniel R. Tauritz
• John Woodward

TUTORIAL SESSION: Tutorials: advanced tutorials

CMA-ES and advanced adaptation mechanisms

• Youhei Akimoto
• Nikolaus Hansen

Simulation optimisation: tutorial

• Juergen Branke

Constraint-handling techniques used with evolutionary algorithms

• Carlos A. Coello Coello

Dynamic parameter choices in evolutionary computation

• Carola Doerr

Particle swarm optimization: a guide to effective, misconception free, real world use

• 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

Evolutionary computation for digital art

• Aneta Neumann
• Frank Neumann

Sequential experimentation by evolutionary algorithms

• Ofer M. Shir
• Thomas Bäck

Expressive genetic programming: concepts and applications

• Lee Spector
• Nicholas Freitag McPhee

Promoting diversity in evolutionary optimization: why and how

• Giovanni Squillero
• Alberto Tonda

Evolutionary reinforcement learning: general models and adaptation

• Danilo Vasconcellos Vargas

Next generation genetic algorithms

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

TUTORIAL SESSION: Tutorials: specialized tutorials

Evolutionary robotics tutorial

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

Automated offline design of algorithms

• Manuel López-Ibáñez
• Thomas Stützle

Bio-inspired approaches to anomaly and intrusion detection

• Luis Martí
• Marc Schoenauer

Cloudy distributed evolutionary computation

• Juan-Julián Merelo-Guervós

Medical applications of evolutionary computation

• Stephen L. Smith

Theory of estimation-of-distribution algorithms

• Carsten Witt

Evolutionary computation for feature selection and feature construction

• Bing Xue
• Mengjie Zhang

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

• Mengjie Zhang
• Stefano Cagnoni