Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

Abstract The Vortex Search Algorithm (VSA) is a meta-heuristic algorithm that has been
inspired by the vortex phenomenon proposed by Dogan and Olmez in 2015. Like other meta …

In expert systems, complex optimization problems are usually nonlinear, nonconvex,
multimodal and discontinuous. As an efficient and simple optimization algorithm, particle …

Abstract Farmland Fertility Algorithm (FFA) is a recent nature-inspired metaheuristic
algorithm for solving optimization problems. Nevertheless, FFA has some drawbacks: slow …

Warehouses constitute a key component of supply chain networks. An improvement to the
operational efficiency and the productivity of warehouses is crucial for supply chain …

Differential evolution is one of the most powerful and popular evolutionary algorithms, which
is primarily used to solve continuous-based optimization problems. Although differential …

The artificial neural network (ANN) is the most popular research area in neural computing. A
multi-layer perceptron (MLP) is an ANN that has hidden layers. Feed-forward (FF) ANN is …

One of the core features of Intelligent Edge Computing (IEC) is real-time decision making,
therefore low delay is more important for IC design under IEC architecture. And in very large …

The Steiner minimal tree (SMT) problem is an NP-hard problem, which is the best
connection model for a multi-terminal net in global routing problem. This paper presents a …