Facility layout optimization plays a crucial role in manufacturing efficiency and
environmental impact. However, traditional approaches often struggle when dealing with …

The artificial neural network (ANN) is the most popular research area in neural computing. A
multi-layer perceptron (MLP) is an ANN that has hidden layers. Feed-forward (FF) ANN is …

An increasing number of researchers have researched fixture layout optimization for thin-
walled part assembly during the past decades. However, few papers systematically review …

With the construction industry shifting towards sustainable practices, it has become critical to
incorporate sustainability measures in the design and operation of buildings. Space layout …

The paper proposes an innovation method of integrating a multi-agent reinforcement
learning and 3D A* search,< MARL, A*>, to tackle the facility layout problem with the goal of …

A well-designed hospital facility layout planning process will enable improvements in
operational efficiency, health outcomes, and patients' medical experience. Older hospital …

With the outbreak of the novel coronavirus SARS-CoV2, many countries have faced
problems because of their available hospital capacity. Health systems must be prepared to …

The vehicle routing problem (VRP) is one of the challenging problems in optimization and
can be described as combinatorial optimization and NP-hard problem. Researchers have …

A patient fall is one of the adverse events in an inpatient unit of a hospital that can lead to
disability and/or mortality. The medical literature suggests that increased visibility of patients …

Purpose This study aimed to propose a performance-oriented approach of automatically
generative design and optimization of hospital building layouts in consideration of public …