This category includes research on algorithmic frameworks such as tabu search, simulated annealing, iterated local search, variable neighborhood search, bio-inspired algorithms, memory-based optimization, evolutionary algorithms, memetic algorithms, ant colony optimization, particle swarm optimization, scatter search, path relinking, hybrid metaheuristics, simheuristics, and matheuristics, among others. Equally welcome is research that enhances the usability and increases the potential of metaheuristic algorithms such as parallelization of algorithms, reactive search mechanisms for self-tuning, offline metaheuristic algorithm configuration techniques, algorithm portfolios, among others.
This category welcomes research on large-scale experimental analyses, algorithm comparisons, new experimental methodologies, engineering methodologies for stochastic local search algorithms, search space analysis, theoretical insights into properties of metaheuristic algorithms, among other provoking ideas.
We welcome novel and real applications with strong impact in fields such as transportation, healthcare, bioinformatics, energy systems, analytics, big data, data mining, planning and scheduling, production and operations management, finance and economics, marketing, telecommunications, logistics and supply chain, agriculture, among other fields.
Metaheuristics have proven useful at the interface with other disciplines, such as agent-based models, integer programming (matheuristics), constraint programming, machine learning, and deep learning, among other domains.
New problems continuously evolve and we are looking for their connections with metaheuristics. For instance, new problems are rising in the fields of big data, machine learning, analytics, and transportation and logistics, just to cite a few.
Authors are encouraged to submit unpublished and outstanding original contributions in one of the above topics (1) Techniques, (2) Empirical and Theoretical Research, (3) Industrial Applications, (4) Interface of Metaheuristics, and (5) Challenging New Problems. Submissions are electronic, in PDF format, using the easychair system.
S1) Extended abstracts of work-in-progress and position papers of maximum 3 pages
S2) High-quality manuscripts that have been recently submitted or accepted in a journal (within the last six months). In this case, the authors should send a copy of the manuscript with the publication details.
All submissions will be peer reviewed. All submitted papers must follow the submission guidelines outlined below. Accepted contributions of categories S1 will be published in the MIC 2019 conference proceedings. Accepted contributions of category S2 will be orally presented at the conference, but will not be included in the conference proceedings due to copyright restrictions.
Authors can submit papers either to the open or the invited sessions. For the latter, authors should specify the session where they have been invited to contribute. All papers must be formatted according to the guidelines using the electronic templates ( LaTeX or Microsoft Word). Submissions are electronic, in PDF format, using the easychair system.
At least one author of each accepted contribution is required to register and attend the conference to present their work, otherwise their paper will be withdrawn. Authors will be required to agree to this requirement at the time of submission. MIC accepts only one presentation per registered author.
March 29, 2019
After the conference, we will publish an Special Issue on Metaheuristics in the International Transactions in Operational Research edited by Celso Ribeiro. We will invite the best work presented at MIC2019 to submit extended papers to the special issue. This call will also be open to the whole metaheuristics community.