This conference is aimed at exploring the intersections between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. The main purpose of the event is to bring together experts from these areas to discuss new ideas and methods, challenges and opportunities in various application areas, general trends and specific developments.
Topics of interest include, but are not limited to:
Metaheuristics such as tabu search, iterated local search, evolutionary algorithms, memetic algorithms, ant colony optimization, and particle swarm optimization
Hybridizations of metaheuristics with other techniques for optimization
Supervised, unsupervised and reinforcement learning applied to heuristic search
Reactive search optimization
Self-adaptive algorithms
Hyperheuristics
Algorithm portfolios and off-line tuning methods
Multiscale and multilevel methods
Algorithms for dynamic, stochastic and multi-objective problems
Interface(s) between discrete and continuous optimization
Experimental analysis and modeling of algorithms
Theoretical foundations
Parallelization of optimization algorithms
Memory-based optimization
Software engineering of learning and intelligent optimization methods.
Past Events
Learning and Intelligent Optimization (LION) 2011 - 17-21 Jan 2011, Sapienza Universita di Roma, Rome, Italy (8565)
Learning and Intelligent Optimization (LION) 2026
Important
Please, check "Learning and Intelligent Optimization (LION)" official website for possible changes, before making any traveling arrangements
