The main challenge in improving energy harvest faced by modern large-scale wind turbines
(WTs) comes from the fact that the blade rotor with the large inertia having a slow response …

In order to establish new logistics routes, it is necessary to address several technical and
organizational issues, among others. One of the most important criteria for evaluating the …

Rapid industrialization has fueled the need for effective optimization solutions, which has led
to the widespread use of meta-heuristic algorithms. Among the repertoire of over 600, over …

This paper attempts to obtain optimal generation scheduling for Combined Heat and Power
Economic Dispatch (CHPED) problems and seeking a possible solution for the global …

The present research proposes a novel probabilistic intuitionistic fuzzy time series
forecasting (PIFTSF) model using support vector machine (SVM) to address both uncertainty …

The intention of this article is to develop and introduce an extension from Pythagorean fuzzy
sets (PFS) to complex Pythagorean fuzzy sets (CPFS) related to weighted aggregated …

This study presents the development of a grey-box modelling approach and fuzzy logic
control for real time trajectory control of an experimental four degree-of-freedom Leader …

Natural selection has inspired researchers to develop and apply several intelligent
optimization techniques in the past few decades. Generally, in artificial intelligence …

The major challenge of this paper is to examine how various forms of speed perception
affect motor vehicle crash (MVC) involvement. To model this relationship, we use a type-2 …

This article formulates the Collaborative Gate Allocation (CGA) problem as a novel concept
to reduce aircraft gate-waiting time and to increase aircraft gate utilization. The proposed …