Human Intelligence is considered superior compared to Artificial Intelligence (AI) because of
its ability to adapt faster to changes. Due to increasing data deluge, it is cumbersome for …

Portfolio optimization is the process of determining the best combination of securities and
proportions with the aim of having less risk and obtaining more profit in an investment …

In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

In portfolio optimization (PO), often, a risk measure is an objective to be minimized or an
efficient frontier representing the best tradeoff between return and risk is sought. In order to …

Multi-objective programming is commonly used in the literature when conflicted objectives
arise in solving optimization problems. Over the past decades, classical optimization …

Portfolio management aims at maximizing the return on investment while minimizing risk by
continuously reallocating the assets forming the portfolio. These assets are not independent …

In this study, an improved invasive weed optimization (EIWO) algorithm is investigated to
solve the optimal chiller loading (OCL) problem for minimization of the power consumption …

Over the years, portfolio optimization remains an important decision-making strategy for
investment. The most familiar and widely used approach in the field of portfolio optimization …

Landslide susceptibility (LS) mapping is an essential tool for landslide risk assessment. This
study aimed to provide a new approach with better performance for landslide mapping and …

Portfolio optimization has been studied extensively by researchers in computer science and
finance, with new and novel work frequently published. Traditional methods, such as …