Quantum-inspired differential evolution (QDE) is an evolutionary algorithm, which can
effectively solve complex optimization problems. However, sometimes, it easily leads to …

With the continuous and rapid growth of air traffic demand, gate resource becomes a major
bottleneck restricting airport development. Rational gate allocation is regarded as one of the …

The selection of the mutation strategy for differential evolution (DE) algorithm plays an
important role in the optimization performance, such as exploration ability, convergence …

The optimization performance of differential evolution (DE) algorithm significantly depends
on control parameters and mutation strategy. However, it is difficult to set suitable control …

Stochastic optimization has been found in many applications, especially for several local
optima problems, because of their ability to explore and exploit various zones of the feature …

Grey wolf optimizer (GWO) is a widespread metaphor-based algorithm based on the
enhanced variants of velocity-free particle swarm optimizer with proven defects and …

In recent years, a variety of meta-heuristic nature-inspired algorithms have been proposed to
solve complex optimization problems. However, these algorithms suffer from the …

An improved grasshopper optimization algorithm (GOA) is proposed in this paper, termed as
SGOA, which combines simulated annealing (SA) mechanism with the original GOA that is a …

In order to overcome the slow convergence speed, poor global search ability and difficult
designing rotation angle of quantum-inspired evolutionary algorithm (QEA), an improved …

Continuous ant colony optimization was a population-based heuristic search algorithm
inspired by the pathfinding behavior of ant colonies with a simple structure and few control …