EMO 2021 is the 11th Edition of International Conference Series on Evolutionary Multi- Criterion Optimization (EMO), aiming to continue the success of previous EMO conferences. We will bring together both the EMO, Multiple Criteria Decision-Making (MCDM) communities, and other related fields and, moreover, focusing on solving real-world problems in government, business and industry.

Conference Implementation

The EMO 2021 conference will be held as a hybrid conference where each speaker can choose between on-line presentation and on-site presentation. The conference organizers will make all presentations available for all attendees through the Internet during the conference.

Extended versions of some selected papers will be recommended to the special issues in several journals, including:

  • Complex & Intelligent Systems (SCI, IF = 3.791)

  • Memetic Computing (SCI, IF = 3.860)

Proceedings of EMO 2021

The link to the EMO 2021 proceedings on SpringerLink is https://link.springer.com/book/10.1007/978-3-030-72062-9.

Best Paper Award

Best paper award: ID52: Local Search is a Remarkably Strong Baseline for Neural Architecture Search (Tom den Ottelander, Arkadiy Dushatskiy, Marco Virgolin and Peter Bosman)

Best student paper award:  ID36: Constrained Bi-objective Surrogate-Assisted Optimization of Problems with Heterogeneous Evaluation Times: Expensive Objectives and Inexpensive Constraints (Julian Blank and Kalyanmoy Deb)

Best presentation award: ID1:Investigating normalization bounds for hypervolume-based infill criterion for expensive multiobjective optimization (Bing Wang, Hemant Singh and Tapabrata Ray)