Forest roads can potentially cause environmental impacts, especially related to water dynamics and sediment production. To identify critical areas for forest road allocation, we considered landscape criteria such as slope, erodibility (K), distance to accumulated water flow, and aspect. The...

In recent years, multinational corporations (MNCs) have shifted their decision-making strategies from solely focusing on economic factors to adopting a sustainable perspective that considers environmental and social impacts. Consequently, the sustainable facility location problem (SFLP) has...

This study focuses on investigating a multi-objective search allocation game problem, specifically addressing the distribution of a search budget (player 1) across a searched area to detect an evading target (player 2). The game is characterized as a two-person zero-sum game, as an optimal...

Heuristics for Vector Bin Packing (VBP) play an important role in modern distributed computing systems and other applications aimed at optimizing the usage of multidimensional resources. In this paper we perform a systematic classification of heuristics for VBP. We bring together existing VBP...

Understanding how skilled workers interact with assistance systems in manufacturing and how they experience the factory environment is fundamental to modeling human interaction and optimizing the processes correctly. This paper investigates humans’ behaviors and perceived experiences while...

Reverse supply chain management is one of the most effective ways to protect the environment and conserve natural resources, while simultaneously generating significant economic benefits for manufacturing firms. The present paper examines the design of a reverse supply chain of a variety of...

Waste management is a critical sector that needs to coordinate its activities with outcomes that impact society. Multi-criteria decision-making methods for waste management have been widely considered using both, environmental and economic criteria. With the development of new social regulations...

Probabilistic dual hesitant fuzzy set (PDHFS), as a decision information preference combining membership degree (MD) and non-membership degree (NMD) and probability, is an important tool to express uncertain information powerfully. It is well known that distance measures are very useful tools in...

With the advent of Big Data, managing large-scale portfolios of thousands of securities is one of the most challenging tasks in the asset management industry. This study uses an evolutionary multi objective technique to solve large-scale portfolio optimisation problems with both long-term listed...