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 …

Combinatorial optimization is a challenging problem applicable in a wide range of fields
from logistics to finance. Recently, quantum computing has been used to attempt to solve …

Multi-band spectral filters that can transmit visible light but block UV and infrared light in the
solar spectrum are applicable to energy-saving windows. However, such filters are usually …

We present a comprehensive case study comparing the performance of D-Waves' quantum-
classical hybrid framework, Fujitsu's quantum-inspired digital annealer, and Gurobi's state-of …

As quantum computers mature, the applicability in practice becomes more important.
Quantum computers will often be used in a hybrid setting, where classical computers still …

This is a comprehensive review of the Greedy Randomized Adaptive Search Procedure
(GRASP) metaheuristic and its hybridization with Path Relinking (PR) over the past two …

Improving the energy efficiency of robots is an important issue for the widespread use of
robots in society. However, previous methods plan motions to perform tasks in the shortest …

This work addresses a practical problem concerning the daily scheduling of tasks for field
technicians and route planning, taking into account time windows, task priority, technicians' …

This paper proposes a problem-independent GRASP metaheuristic using the random-key
optimizer (RKO) paradigm. GRASP (greedy randomized adaptive search procedure) is a …

This paper presents the Random-Key Optimizer (RKO), a versatile and efficient stochastic
local search method tailored for combinatorial optimization problems. Using the random-key …