M

multiobjective optimization

Application of Quality Diversity optimization to the process of autoconfiguration of metaheuristics

Small experiment about applying explainable AI to metaheuristics in meta-qdo

"n" dimensional input with "m" objectives example of a Pareto front with the BOSS code. In these examples we reproduce the pareto front as produced by mathlab in the link below "https://www.mathworks.com/help/gads/pareto-front-for-two-objectives.html" For 3D inputs and 3 objectives, we try to reproduce these results The difference in these methods is that here we calculate the pareto front using GP functions with an RBF kernel.

recommoonder: Algorithmic recomender for multi-objective optimization based on semantic technologies

moody (Multi-Objective Optimization ontologY) is a OWL2 ontology aiming to provide the ontology model to allow the semantic consolidation of the data related to multi-objective optimization experiments, including algorithms, problems and quality indicators.

moorphology: Characterization of Continuous Multi Objective Problems by their landscape

An integration in jMetal 6 of the COCO problem suite utilizing the official bindings.

Projet de développement d'un modèle basé sur l'élicitation incrémentale et une recherche locale pour résoudre le problème du sac à dos multi-objectifs.