This work addresses the evaluation of interaction techniques for decision-making tasks performed by non-experts in context multi-objective optimization problems. Such require making trade-offs between antagonistic criteria, according to individual subjective preferences. Evaluating such is made difficult nature tasks, as well a lack rigorous methods assessment. Our primary contributions this pr...

This paper considers a multi-period, multi-product inventory-routing problem in a two-level supply chain consisting of a distributor and a set of customers. This problem is modeled with the aim of minimizing bi-objectives, namely the total system cost (including startup, distribution and maintenance costs) and risk-based transportation. Products are delivered to customers by some heterogeneous ...

Evolutionary algorithms (EAs) are a kind of nature-inspired general-purpose optimization algorithm, and have shown empirically good performance in solving various real-word optimization problems. However, due to the highly randomized and complex behavior, the theoretical analysis of EAs is difficult and is an ongoing challenge, which has attracted a lot of research attentions. During the last t...