Abstract: Many-objective optimization problems are challenging and time-consuming, especially when the number of objectives is large. In this paper, an evolutionary algorithm inspired by quantum ...

Abstract: There remains a gap in the study of evolutionary music without interactive evolution and goal-based fitness functions for evolutionary music, and in particular for classical tabla music.

OpenEvolve uses large language models as mutation and crossover operators inside an evolutionary algorithm loop. Describe a problem, provide test cases, and let AI evolve increasingly better solutions ...