EA Artificial Evolution 2019

Program: TBC

Preliminary program:

Tuesday 29

  • 9h-10h : Registration/coffee
  • 10h00-11h30: plenary talk
  • Lunch
  • 13h-15h30: Session 1
  • 15h30-16h00: transfer to the social event
  • 16h00-18h00: Visit of the Automobile Museum
  • 18h00: transfer to the Gala Dinner (Zooooooooo)

Wednesday 30

  • 9h-12h: Session 2
  • Lunch
  • 13h30-17h00: Session 3
And moments dedicated to the EA association...

Invited Conference:

Prof Edward Keedwell

Prof. Keedwell is an Associate Professor in Computer Science. He joined the Computer Science discipline in 2006 and was appointed as a lecturer in Computer Science in 2009. He is currently Director of Research for Computer Science and has personal research interests in nature-inspired computing techniques (e.g. genetic algorithms, neural networks, cellular automata) and their application to a variety of difficult problems in bioinformatics and engineering. He leads the Nature Inspired computing research group focusing on applied optimisation and has been involved with successful funding applications totalling over £2 million from the EPSRC, Innovate UK, EU and industry. Particular areas of current interest are the development of sequence-based hyperheuristics and human-in-the-loop optimisation methods for applications in engineering.

http://emps.exeter.ac.uk/computer-science/staff/eckeedwe#YMP8aPJrukAvCvbJ.99


List of accepted papers:

  • Ant Colony Optimization Algorithm for a Transportation Problem in Home Health Care with the Consideration of Carbon Emissions. Hongyuan Luo, Mahjoub Dridi, Olivier Grunder
  • Looking for Energy E. Francisco Fernández de Vega, Josefa Díaz, Juan Ángel García, Francisco Chávez, Jorge Alvarado
  • Evolving a Weighted Combination of Text Similarities for Authorship Attribution. Youssef Keyrouz, Cyril Fonlupt, Dany Mezher, Denis Robilliard, Rafic Faddoul
  • A study of Recombination Operators for the Cyclic Bandwidth Problem. Jintong Ren, Jin-Kao Hao, Eduardo Rodriguez-Tello
  • Image Signal Processor parameters tuning with surrogates-assisted Particles Swarm Optimization. Geoffrey Portelli, Denis Pallez
  • Evolving Fitness Landscapes with Complementary Fitness Functions. Vincent Hénaux, Adrien Goéffon, Frédéric Saubion
  • Bayesian Immigrant Diploid Genetic Algorithm for Dynamic Environments. Emrullah GAZIOGLU, A. Sima ETANER-UYAR
  • Automatic calibration of a farm irrigation model: a multi-modal optimization approach. Amaury Dubois, Fabien Teytaud, Eric Ramat, Sébastien Verel
  • Fast evolutionary algorithm for solving large-scale multi-objective problems. Anna Ouskova-Leonteva, Pierre Pierre Parrend, Anne Jeannin-Girardon, Pierre Collet
  • Optimisation of a Checkers Player using neural and metaheuristic approaches. Ethan Bunce, Edward Keedwell
  • Combinatorial Surrogate-Assisted Optimization for Bus Stops Spacing Problem. Florian Leprêtre, Cyril Fonlupt, Sébastien Verel, Virginie Marion
  • A Novel Outlook on Feature Selection as a Multi-Objective Problem. Pietro Barbiero, Evelyne Lutton, Giovanni Squillero, Alberto Tonda
  • A* based differential evolution algorithm for UAV path planning problem in urban environment. Soheila Ghambari, Lhassane Idoumghar, Laetitia Jourdan, Julien Lepagnot
  • Selective Vehicle Routing Problem: A Metaheuristic Approach. Andrea Posada, Juan Carlos Rivera, Juan D. Palacio
  • From feature selection to continues optimization. Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brevilliers
  • Fixed jobs multi-agent scheduling problem with renewable resources. Boukhalfa ZAHOUT, Ameur SOUKHAL, Patrick MARTINEAU