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The Metaheuristics International Conference (MIC) conference series was established in 1995 and this is its 14^th edition!

MIC is nowadays the main event focusing on the progress of the area of Metaheuristics and their applications. As in all previous editions, provides an opportunity to the international research community in Metaheuristics to discuss recent research results, to develop new ideas and collaborations, and to meet old and make new friends in a friendly and relaxed atmosphere.

MIC'2022 is focus on presentations that cover different aspects of metaheuristic research such as new algorithmic developments, high-impact and original applications, new research challenges, theoretical developments, implementation issues, and in-depth experimental studies. MIC'2022 strives a high-quality program that will be completed by a number of invited talks, tutorials, workshops and special sessions.

Althought the emergency status in Italy ended last 30th March, to facilitate the participants given the particular moment, MIC 2022 offers the opportunity to attend also in online mode. Anyway, the organizing committee strongly encourages attendance in person.

Relevant Research Areas

MIC'2022 solicits contributions dealing with any aspect of metaheuristics. Typical, but not exclusive, topics of interest are:

• Metaheuristic techniques such as tabu search, simulated annealing, iterated local search, variable neighborhood search, memory-based optimization, dynamic local search, evolutionary algorithms, memetic algorithms, ant colony optimization, variable neighborhood search, particle swarm optimization, scatter search, path relinking, etc.
• Techniques that enhance the usability and increase the potential of metaheuristic algorithms such as reactive search mechanisms for self-tuning, offline metaheuristic algorithm configuration techniques, algorithm portfolios, parallelization of metaheuristic algorithms, etc. 
• Empirical and theoretical research in metaheuristics including large-scale experimental analyses, algorithm comparisons, new experimental methodologies, engineering methodologies for metaheuristic algorithms, search space analysis, theoretical insights into properties of metaheuristic algorithms, etc. 
• High-impact applications of metaheuristics in fields such as bioinformatics, electrical and mechanical engineering, telecommunications, sustainability, business, scheduling and timetabling. Particularly welcome are innovative applications of metaheuristic algorithms that have a potential of pushing research frontiers.
• Contributions on the combination of metaheuristic techniques with those from other areas, such as integer programming, constraint programming, machine learning, etc. 
• Contributions on the use of metaheuristic techniques in machine learning and deep learning for finetuning and neural architecture search, etc. 
• Challenging applications areas such as continuous, mixed discrete-continuous, multi-objective, stochastic, or dynamic problems.