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 …

The job sequencing and tool switching problem is a combinatorial optimisation problem that
appears in various industries, mainly in the manufacturing sector. Although tool switching is …

Consensus is an important issue in group decision making as it aims to avoid future
contestation by the decision makers. The elicitation of criteria and decision makers' weights …

This paper addresses the problem of scheduling a set of jobs with tool requirements on
identical parallel machines in a work center. This problem considers the following …

We model and solve the problem of sequencing a set of jobs with specified processing times
and tool requirements on a set of identical parallel machines. Decisions concern the …

In the class of supply chain problems, the Two-Stage Capacitated Facility Location (TSCFL)
is defined by optimal locations for installing factories and warehouses to meet the demand of …

In flexible manufacturing systems, a single machine can be configured with different tools for
processing different jobs, each requiring a specific set of tools. There is a limit to the …

This paper proposes an adaptive Biased Random-key Genetic Algorithm (A-BRKGA), a new
method with on-line parameter control for combinatorial optimization problems. A-BRKGA …

One of the well-known problems in single machine scheduling context is the Job
Sequencing and Tool Switching Problem (SSP). The SSP is optimally sequencing a finite set …

Given a graph G=(V, E) and a threshold γ∈(0, 1], the maximum cardinality quasi-clique
problem consists in finding a maximum cardinality subset C* of the vertices in V such that the …