Portfolio optimization is a pertinent topic of significant importance in the financial literature. During the portfolio construction, an investor confronts two important steps: portfolio selection and portfolio allocation. This article seeks to investigate portfolio optimization based on the...

Most of the literature on reviewer assignment problem (RAP) considers fitness or efficiency as the evaluation criterion of an assignment, e.g., the degree of matching between reviewers and proposals. In this study, we consider fairness of an assignment and establish two multi-objective linear...

This study proposes a novel and more efficient quantum algorithm for portfolio optimization using quantum combinatorial optimization (QCO) techniques. A recent construction developed in 2021 has sparked the field of financial portfolio optimization through the Quantum Walk Optimization Algorithm...

Background: Functional regions are abstract, uniformly defined territorial units that form an important basis for many development strategies of a country or a region. Objectives: This study analyses the application of network theory to the detection of such regions. Methods/Approach: Functional...

Purpose: The research purpose is to enhance picking performance by developing a hybrid algorithm that classifies SKU, determines slot, and routes the process for Delivery Order (DO). Design/methodology/approach: FSN classification is used for categorizing the products into three groups:...

Surface Electromyography (sEMG) is a technique for measuring muscle activity by recording electrical signals from the surface of the body. It is widely used in fields such as medical diagnosis, human-computer interaction, and sports injury rehabilitation. The detection of the onset and offset of...

Upon the latest reform to the college entrance examination in China (i.e., Gaokao), high schools began implementing an optional class system. Under this scheme, students' time slots become complex, thereby increasing the difficulty in formulating a suitable timetable from the available ones. To...

This paper proposes a novel model formulation for the Maximum Covering Species Problem that incorporates spatial connectivity requirements. This model, called the Connected Maximum Covering Species Problem, enforces structural connectivity and relies on knowledge of induced paths, or what we...

A linear optimization problem which is amenable to column generation and contains a single parameter in the objective function is considered. We extend and adapt the standard linear programming column generation scheme to effectively and efficiently solve this problem for all values of the...