Simulation of the MP behaviour in forward osmosis (FO) membrane-based processes may provide a better understanding and design of the process to facilitate the highest performance. This study explored the feasibility of applying machine learning (ML)–based models to simulate MP behaviour in the...

This work presents a potent multiobjective multiverse algorithm to solve the highly complicated dynamic economic emission dispatch problem. Solving the dynamic economic dispatch problem with power balance equality constraint, valve point constraints, and ramp limit constraints not only minimizes...

In supply chain inventory management, the backorder of products is a common occurrence. A backorder can only be successful if the supplier can be relied upon to provide the out-of-stock product when required or if the consumer is prepared to wait for the product without becoming impatient. So,...

Biochar adsorption is one of the most effective methods for mitigating heavy metal pollution; however, it remains quite challenging for its limited adsorption capacity and selectivity. To address these issues and enhance the adsorption performance of biochar for heavy metals in soil, we proposed...

When dynamic production capacity is considered in production lot-sizing plans, it becomes very challenging to efficiently determine the optimal production plan. Many papers apply “at most one fractional production period” to develop efficient algorithms, but those algorithms are still...

We ask how machine learning can change a crucial step of the scientific process in economics: the advancement of theories through the discovery of "anomalies." Canonical examples of anomalies include the Allais Paradox and the Kahneman-Tversky choice experiments, which are concrete examples of...

In today’s world, most of the data is generated through computer applications. These applications can be used to predict and analyze the future. To achieve this phenomenon, we train the machines to read data and accordingly predict the future which is called as Machine Learning. Machine...

In financial markets, the success of an investor depends on the quality of information and the speed of his decision. Therefore, an accurate prediction allows investors to make informed decisions about investments and reduce risks. Until today, various researches have been carried out in order...