Swarm-based algorithms emerged as a powerful family of optimization techniques, inspired
by the collective behavior of social animals. In particle swarm optimization (PSO) the set of …

In marine vessel operations, fuel costs are major operating costs which affect the overall
profitability of the maritime transport industry. The effective enhancement of using ship fuel …

In this study, six statistical physics (sta-phy) models were used to further describe and
enlighten the mechanisms behind the adsorption of a low interaction model molecule …

The Arrhenius equation is one of the most well-known equations in the chemical field and is
widely used to describe the temperature dependence of kinetic constants. This equation …

The aim of this study is to predict the performance of tunnel boring machines (TBMS) using
particle swarm optimization technique (PSO). With this aim, a database including intact rock …

This paper presents a hybridization of particle swarm optimization (PSO) and artificial bee
colony (ABC) approaches, based on recombination procedure. The PSO and ABC are …

Discrete and delayed laboratory analyses of product quality restrict the operational
optimization of industrial processes. However, it is challenging to build an accurate online …

This study aims to contribute to understanding the removal processes of diclofenac
potassium (DP) medicine in wastewater treatment systems, employing activated carbon (AC) …

The last few decades have been dominated by the need for digital control of various
processes in biology and medicine. Advances in artificial intelligence (AI) over the last few …

In order to enhance sustainability in maritime shipping, shipping companies spend good
efforts in improving the operational energy efficiency of existing ships. Accurate fuel …