Interactive multiobjective optimization methods incorporate preferences from a human
decision maker in the optimization process iteratively. This allows the decision maker to …

In today's data-driven world, decision makers are facing many conflicting objectives. Since
there is usually no solution that optimizes all objectives simultaneously, the aim is to identify …

This chapter describes the state-of-the-art in visualisation for decision support processes in
problems with many objectives. Visualisation is an important part of a constructive decision …

We address challenges of unpredicted demand and propose a multiobjective optimization
model to integrate a lot sizing problem with safety strategy placement and optimize …

Novel learning algorithms like Evolutionary Neural Net (EvoNN), Bi-objective Genetic
Programming (BioGP), and Evolutionary Deep Neural Net (EvoDN2) developed in our …

Nautilus: An Interactive Plug- and-Play Search- Based Software Engineering Framework Page
1 0740-7459/21©2021IEEE SEPTEMBER/OCTOBER 2021 | IEEE SOFTWARE 73 FOCUS …

Monitavoiteoptimointi on ongelmanratkaisua, jossa tulee yhtäaikaisesti ottaa huomioon
useampi keskenään ristiriidassa oleva tavoitefunktio. Monitavoi-teoptimoinnin ongelmiin on …

Monitavoiteoptimointiongelmissa optimoidaan useita ristiriitaisia tavoitefunktioita
samanaikaisesti. Ristiriitaisuuden vuoksi niillä on useita ns. Pareto-optimaalisia ratkaisuja …

Agradeço primeiramente a Deus, pelo dom da vida. Aos meus pais, Ringo e Marta, pelo
amor incondicional. Meus exemplos de vida, alicerces da minha vida pessoal e profissional …

This thesis tackles the problem of developing interactive data visualization components that
can be used in client-side web applications. The components are designed to be used in the …