Evolutionary Multi-Criterion Optimization (EMO) is a series of bi-annually held conferences devoted to the topic of multiobjective optimization with a focus on:

evolutionary method
population-based metaheuristics
numerical multiobjective algorithms
surrogate-based or Bayesian optimization methods
machine learning/artificial intelligence-based hybrid methods
theoretical foundation of multiobjective optimization
benchmarking, performance indicators and visualization tools
integration to real-world application