Interactive multiobjective optimization (IMO) aims at finding the most preferred solution of a
decision maker with the guidance of his/her preferences which are provided progressively …

Human intelligence is the intellectual prowess of humans, which is marked by four basic and
important abilities: learning ability, cognition (acquiring and storing knowledge) ability …

Since GB Dantzig invented the celebrated simplex method around 1947, linear
programming, an optimization method for maximizing or minimizing a linear objective …

This paper addresses a general multiobjective optimization problem. One of the most widely
used methods of dealing with multiple conflicting objectives consists of constructing and …

Margin trading is an important part of stock market. Compared with traditional channel
business, it brings excess profits to both financial institutions and investors. As an important …

Recent years have seen the rapid development of fairness-aware machine learning in
mitigating unfairness or discrimination in decision-making in a wide range of applications …

Water utilities face different challenges that may force them to seek prioritized objectives.
When doing so, particular projects may have to be developed, being important to …

From the perspective of artificial intelligence, evolutionary computation belongs to
computation intelligence. The origins of evolutionary computation can be traced back to the …

Bayesian optimization (BO) is a well-developed machine learning (ML) field for black-box
function optimization. In BO, a surrogate predictive model, here a Gaussian process, is used …

The use of achievement (scalarizing) functions in interactive multiobjective optimization
methods is very popular, as indicated by the large number of algorithmic and applied …