Benchmarking Feature-Based Algorithm Selection Systems for Black-Box Numerica…

Feature-based algorithm selection aims to automatically find the best one from a portfolio of optimization algorithms on an unseen problem based on its landscape features. Feature-based algorithm s…

A Review of Evolutionary Multimodal Multiobjective Optimization

Multimodal multiobjective optimization aims to find all Pareto optimal solutions, including overlapping solutions in the objective space. Multimodal multiobjective optimization has been investigate…

An Analysis of Quality Indicators Using Approximated Optimal Distributions in…

A Framework to Handle Multimodal Multiobjective Optimization in Decomposition…

Multimodal multiobjective optimization is to locate (almost) equivalent Pareto optimal solutions as many as possible. While decomposition-based evolutionary algorithms have good performance for mul…