Evolutionary multi-criterion optimization: 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20–24, 2023, proceedings

Emmerich, M.T.M.; Deutz, A.H.; Wang, H.; Kononova, A.V.; Naujoks, B.; Li, K.; ... ; Yevseyeva, I. (2023)

Book editorial

Welcome to the Proceedings of the 12th Conference on Evolutionary Multi-Criterion Optimization (EMO), held in Leiden, The Netherlands, March 20–24, 2023 in hybrid format.

Why hold EMO conferences? This question was discussed at EMO 2007 by its founders. The doubts regarding the viability of the conferences were fortunately cast away as the importance, need, and ubiquity of multi-criterion optimization keeps growing each year at a tremendous pace, impacting other areas and being influenced itself by them.

For millennia optimization (improving things) has played a crucial role for humans. In more recent times, EMO (and optimization in general) has become important in science in areas such as physics, biology, economics, social sciences,medical sciences, and mathematics. For instance, Snell’s law was discovered by Willebrord Snellius through experimentation, only later it was realized that it can be derived from Fermat’s principle of least time, stating that light always chooses the path that is traveled in the least time.

As such, the laws of nature can often be perceived as a process of optimization and optimal decision-making. Secondly, another use of optimization is the following. Many insights can be gained by looking at extremal objects (for instance, given 2n points in the plane no three of which lie on a line, n of them blue and n of them red, it is always possible to create n line segments by using the given points such that the endpoints have different colors and no two segments intersect – this can be understood by looking at the appropriate extremal object). Thirdly, methodologies and techniques developed in the EMO community have been empowering many practical scenarios: from finding the best taxation system, the best returns on investments while avoiding too high risks,discovering potent drug candidates with few side effects, to designing engineering structures that optimally balance the energy consumption and the environmental impact (e.g., minimizing the CO2 or CH4 emission).

In the EMO conferences, we focus mainly on the evolutionary approaches to solving multi-criterion optimization and decision-making problems since the applicability of analytical/deterministic methods is often limited. For the scenarios where both categories of approaches are applicable, the hybridizations of analytical and evolutionary algorithms have appeared over the years, combining the strengths of both categories.

Such hybridizations were also covered in the EMO conferences. In recent years, the EMOcommunity has been bridged with theMulti-Criterion Decision-Making (MCDM) community, which focuses more on the decision-making aspects of the same problem. According to the EMO tradition, also in this year’s event, many works are dedicated to designing and studying algorithms, ranging from novel algorithmic operators to thetheoretical analysis of existing ones. Notably, there are some contributions that connect EMO  with Machine Learning/Artificial Intelligence, which draws more and more research interests nowadays. Also, appropriate attention – also as a tutorial – is paid to benchmarking and empirical performance assessment, for instance, new benchmarking vi Preface problem sets. Furthermore, some submissions address real-world problems using EMO methodologies, which nicely complete the scope of the conference.

• All authors: Emmerich, M.T.M.; Deutz, A.H.; Wang, H.; Kononova, A.V.; Naujoks, B.; Li, K.; Miettinen, K.; Yevseyeva, I.
• Date: 2023-03-09
• Title of host publication: Lecture Notes in Computer Science
• Edition: 1
• Publisher: Cham: Springer
• ISBN (print): 9783031272493
• ISBN (electronic): 9783031272509
• DOI: doi:10.1007/978-3-031-27250-9
• Name: 13970