SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms

We propose SonOpt, the first (open source) data sonification application for monitoring progress of bi-objective population-based optimization algorithms during search, to facilitate algorithm understanding. SonOpt provides insights into convergence/stagnation evolution approximation set shape, location recurring points in set, and population diversity. The benefits have been shown various non-optimization related tasks. However, very few attempts made context their focus has exclusively on single-objective problems. In comparison, is designed problems, relies objective function values non-dominated solutions only, with user (listener) mind; avoiding convolution multiple sounds prioritising ease familiarizing system. This achieved using two paths relying concepts wavetable additive synthesis. paper motivates describes architecture then validates popular multi-objective (NSGA-II MOEA/D). Experience yourself via https://github.com/tasos-a/SonOpt-1.0 .