Special Session on Metaheuristics & Learning in International Conference on Optimization and Learning 2020 (OLA 2020)

Країна: Іспанія

Місто: Cadiz

Тези до: 20.09.2019

Дати: 17.02.20 — 19.02.20

Розкажіть колегам:

Е-мейл Оргкомітету: jesica.dearmas@upf.edu

Організатори: University of Cadiz; INRIA; Univer


Real-life problems faced by companies are becoming increasingly complex. As a consequence, hybrid approaches for addressing combinatorial optimization problems are highly popular. The hybridization of metaheuristics with machine learning techniques has been an emerging research field in OR in the last years. From specifically-located hybridizations (parameter fine-tuning, initialization, evaluation, population management, perturbation, local search) to global hybridizations (reduction of the search space, algorithm selection, hyperheuristics, cooperative strategies).


This session is aimed to discuss recent advances and explore future directions in the synergy between metaheuristics and learning mechanisms. The topics of interest include, but are not limited to:

  • Learning in nature-inspired computin
  • Deep learning in metaheuristics
  • Reinforcement learning in metaheuristics
  • Performance studies of learning algorithms in metaheuristics
  • Feature selection in optimization
  • Instance-based metaheuristics
  • Learning for operators selection
  • Real applications

Веб-сторінка конференції: https://ola2020.sciencesconf.org/