Evolutionary Computation, Metaheuristics, Nature-inspired Algorithms, And Symmetry

This article discusses the role and significance of evolutionary computation, metaheuristics, and nature-inspired algorithms in optimizing various numerical and real-world engineering problems. It also highlights the importance of bringing together experts and newcomers from academia and industry to discuss these issues. The research topics include single-objective optimization, multi-objective optimization, combinatorial optimization, and real-world problems, as well as industrial control, job-shop scheduling, pattern recognition, and computer vision.