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 …

This paper presents a biased random-key genetic algorithm (BRKGA) for the unequal area
facility layout problem (UA-FLP) where a set of rectangular facilities with given area …

This paper considers a cooperative system between electric vehicles and drones in last-mile
logistics operations. This form of cooperation is presented as electric vehicle–drone routing …

Modern production systems require multiple manufacturing centers—usually distributed
among different locations—where the outcomes of each center need to be assembled to …

This work addresses the flexible job shop scheduling problem with transportation (FJSPT),
which can be seen as an extension of both the flexible job shop scheduling problem (FJSP) …

The location routing problem (LRP) involves the three key decision levels in supply chain
design, that is, strategic, tactical, and operational levels. It deals with the simultaneous …

This paper analyzes the fleet mixed vehicle‐routing problem with backhauls, a rich and
realistic variant of the popular vehicle‐routing problem in which both delivery and pick‐up …

This paper addresses a two-dimensional (2D) non-guillotine cutting problem, where a set of
small rectangular items of given types has to be cut from a large rectangular stock plate …

This paper investigates a special cutting stock problem arisen in the production of iron core
from the transformer manufacturing industry, in which a set of strips are cut from coiled …

A random-key genetic algorithm is an evolutionary metaheuristic for discrete and global
optimization. Each solution is encoded as a vector of n random keys, where a random key is …