The development of novel energy technologies to meet net zero carbon emission is
essential in the provision of solutions to realize an increasing worldwide demand for …

This paper aims at the identification and assessment of High-Impact Research Papers
(HIRPs) on the Berth Allocation Problem (BAP) research at marine terminals. The BAP …

Combinatorial optimization problems are ubiquitous but difficult to solve. Hardware devices
for these problems have recently been developed by various approaches, including …

Quickly obtaining optimal solutions of combinatorial optimization problems has tremendous
value but is extremely difficult. Thus, various kinds of machines specially designed for …

A digital twin-based optimization procedure is presented for an ultraprecision motion system
with a flexible shaft connecting the motor to the (elastic) load, which is subject to both …

Computational finance is an emerging application field of metaheuristic algorithms. In
particular, these optimisation methods are becoming the solving approach alternative when …

Operations Research: A Practical Introduction is just that: a hands-on approach to the field of
operations research (OR) and a useful guide for using OR techniques in scientific decision …

Two classes of quantum-annealing-inspired-algorithms (QAIA), namely different variants of
simulated coherent Ising machine and simulated bifurcation, have been proposed for …

Nature-inspired metaheuristic algorithms are important components of artificial intelligence,
and are increasingly used across disciplines to tackle various types of challenging …

A sustainable alternative to fossil fuels is biomass. The design of cost-efficient biomass
networks is necessary to compete with nonrenewable resources. The creation of integrated …