Program

Thursday 12th September

9h

Registration

9h15

Welcome

9h30

Plenary Talk

Landscape analysis and SLS performance by Gabriela Ochoa (University of Stirling)

10h30

Coffee Break

11h00

Session 1

SLS 1

Rabin Sahu and Nadarajen Veerapen

Stochastic Joint Replenishment Planning Optimization with an Iterated Local Search

Sara Tari, Basseur Matthieu and Adrien Goeffon

Sampled Walk: A Partial Neighborhood Search Strategy

12h00

Session 2

SLS 2

Ala-Eddine Yahiaoui, Aziz Moukrim, Mehdi Serairi and Marc Demange

A Hybrid Heuristic for the Synchronized Team Orienteering Problem with Time Windows

Vincent Hénaux, Adrien Goëffon and Frédéric Saubion

Evolving Stochastic Hill Climbers

13h

LUNCH

14h

Plenary Talk

Automatic configuration of SLS algorithms by Manuel López-Ibáñez (University of Manchester)

15h

Session 2

Automatic Design 1

Weerapan Sae-Dan, Marie-Eléonore Kessaci, Nadarajen Veerapen and Laetitia Jourdan

Automatic Configuration of a Dynamic Hill Climbing Algorithm

Federico Pagnozzi and Thomas Stützle

Automatic Design of Hybrid Stochastic Local Search Algorithms applied to the permutation flowshop problem

Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot and Mathieu Brévilliers

From feature extraction to continues optimization

16h

Coffee Break

16h30

Session 3

Automatic Design 2

Laurent Parmentier, Olivier Nicol, Laetitia Jourdan and Marie-elenore Kessaci

TPOT-SH: a Faster Optimization Algorithm to Solve the AutoML Problem on Large Datasets

Raphael Patrick Prager, Pascal Kerschke and Heike Trautmann

Towards Automated Configuration of CMA-ES by Means of Exploratory Landscape Analysis and Machine Learning

İsmail Sevim

An engine for configurations of simulated annealing algorithm

17h30

END Day1

Friday 13 th September

9h30-10h30

Plenary talk 3

Unification and survey of multi-objective SLS by Marie-Eléonore Kessaci (University of Lille)

10h30-11h

Coffee Break

11h-12h

Session 4

ATOM

Anna Ouskova Leonteva, Pierre Parrend, Anne Jeannin-Girardon and Pierre Collet

Fast evolutionary algorithm for multi-objective industrial problems

Valentin Owczarek, Patrick Franco and Remy Mullot

A genetic algorithm to solve a space-filling curve problem

12h-13h

Session 5

SLS and Metaheuristics

Darrell Whitley, Swetha Varadarajan and Gabriela Ochoa

A Micro-Level Frequency Analysis for the Traveling Salesman Problem

Soheila Ghambari, Lhassane Idoumghar, Laetitia Jourdan and Julien Lepagnot

PRM-based differential evolution for UAV path planning

13h

LUNCH

14h

Closing