TOC GECCO Tutorials 2018

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

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