Moth search (MS) is a nature-inspired metaheuristic optimization algorithm based on the
most representative characteristics of moths, Lévy flights and phototaxis. Phototaxis signifies …

The capacitated vehicle routing problem (CVRP) plays a significant role in the delivery
networks, the slight improvement of which leads to substantial monetary savings and …

Lévy flight is a random walk mechanism which can make large jumps at local locations with
a high probability. The probability density distribution of Lévy flight was characterized by …

Inspired by the evolutionary process in nature, Differential Evolution (DE) has been widely
concerned and used as a numerical global optimizer for decades of years, since its …

The set covering problem (SCP) is a fundamental NP-hard problem in computer science and
has a broad range of important real-world applications. In practice, SCP instances …

Multilabel classification of Arabic text is an important task for understanding and analyzing
social media content. It can enable the categorization and monitoring of social media posts …

The capacitated vehicle routing problem (CVRP) is an NP-hard combinatorial optimization
problem that plays a significant role in end distribution in smart logistics. The CVRP solution …

Bridge optimization is a significant challenge, given the huge number of possible
configurations of the problem. Embodied energy and cost were taken as objective functions …

A Meta-evolutionary Selection of Constituents in Ensemble DE (MeSCEDE) framework is
proposed in this paper to automate the design of high-level multi-population ensemble …

Climate change threats make it difficult to perform reliable and quick predictions on floods
forecasting. This gives rise to the need of having advanced methods, eg, computational …