In the last two decades, the fast and elitist non-dominated sorting genetic algorithm (NSGA-
II) has attracted extensive research interests, and it is still one of the hottest research …

In recent years, there has been a significant increase in the utilization of Tourism
Recommendation Systems (TRS) to enhance tourist satisfaction. However, planning a trip …

Recently, multi-objective evolutionary algorithms (MOEAs) have been widely explored and
applied to many real-world problems. Particularly, preference-based MOEAs are among the …

Some quality indicators have been proposed for benchmarking preference-based
evolutionary multi-objective optimization algorithms using a reference point. Although a …

In evolutionary multi-objective optimization (EMO) the aim is to find a set of Pareto-optimal
solutions. Such approach may be applied to multiple real-life problems, including weather …

This paper proposes a novel algorithm for addressing multi-objective optimisation problems,
by employing a progressive preference articulation approach to decision making. This …

Obtaining a specific region from the efficient front for multi-objective and practical
optimization problems helps decision-makers. Reference point approaches are suggested …

The coronavirus occurred in Wuhan (China) first and it was declared a global pandemic. To
detect coronavirus X-ray images can be used. Convolutional neural networks (CNNs) are …

Abstract Recommender Systems (RSs) make personalized suggestions of relevant items to
users. However, the concept of relevance may involve different quality aspects (objectives) …

The basal ganglia (BG) is a brain structure that has long been proposed to play an essential
role in action selection, and theoretical models of spiking neurons have tried to explain how …