This workshop will be held ONLINE on July 11 (Sun), 2021, 11:00–15:20 (UTC/GMT+2 hours).

The  final program  is announced in the Program.

Continuous and mixed-integer optimization are two fields where evolutionary computation (EC) and related techniques (e.g., particle swarm optimization and differential evolution) have been successfully applied in disciplines such as engineering design, robotics, and bioinformatics. Real-world continuous and mixed-integer problems possess unique challenges that cannot be fully replicated by algebraic and artificial problems, where characteristics of these problems could be different across various scientific fields. Some of these characteristics are expensive function evaluations, huge design spaces, multi/many-objective optimization, correlated variables, etc. Besides optimization, EC/related techniques also frequently work hand-in-hand with machine learning and data mining tools to explore trade-offs and infer important knowledge that is highly useful for real-world optimization processes. Fundamental differences between combinatorial and continuous/mixed-integer optimization lead to different research approaches, algorithmic development, and applications of EC/related techniques. It is important that a special focus needs to be given on real-world applications to synergize the research in EC/related methods with real-world applications in both industry and academia, which, in turn, will also benefit research in algorithmic development.

This workshop aims to act as a medium for debate, exchange of knowledge and experience, and encourage collaboration for researchers and practitioners from various disciplines to discuss the recent challenges and applications of EC/related techniques for solving real-world continuous and mixed-integer optimization problems. The workshop will feature: 1) two invited talks from researchers/practitioners with a successful record on applications of EC for solving continuous/mixed integer problems, 2) presentations of submission-based papers, and 3) final discussion with the speakers and audiences to talk about future challenges. The workshop encourages submission from various disciplines to stimulate multidisciplinary research discussion. The invited speakers are expected to deliver talks with the following topics: 1) current advancements of EC/related techniques in handling real-world problems, 2) interaction and synergy between algorithmic development and real-world problem solving, or 3) successful application of EC/related techniques in boosting the productivity and efficiency in the industry.