This paper is a comprehensive literature review of Biased Random-Key Genetic Algorithms
(BRKGA). BRKGA is a metaheuristic that employs random-key-based chromosomes with …

Abstract The Order Acceptance and Scheduling (OAS) problem describes a class of real-
world problems such as in smart manufacturing and satellite scheduling. This problem …

ABSTRACT Reconfigurable Manufacturing Systems (RMS) emerged from companies' needs
to increase their responsiveness to an uncertain market, in which customers are increasingly …

Over the last years, researchers have been paying particular attention to scheduling
problems integrating production environments and distribution systems to adopt more …

Abstract Deep Neural Networks (DNN) form a powerful deep learning model that can
process unprecedented volumes of data. The hyperparameters of DNN have a significant …

Constrained clustering extends clustering by integrating user constraints, and aims to
determine an optimal assignment under the constraints. In this paper, we propose a local …

Clustering addresses the problem of assigning similar objects to groups. Since the size of
the clusters is often constrained in practical clustering applications, various capacitated …

Dial-a-ride problems aim to design the least-costly door-to-door vehicle routes for
transporting individual users, subject to several service constraints like time windows …

Due to natural disasters or system failures, the facility has the risk of disruption, and thus
improving the location reliability under uncertainty of facilities becomes an important issue …

Efficiently cutting smaller two-dimensional parts from a larger surface area is a recurring
challenge in many manufacturing environments. This point falls under the cut-and-pack …