With the progress of science and technology, optimization problems have become complex.
Meta-heuristic algorithms have the advantages of high efficiency and strong global search …

Metaheuristic algorithms are currently being studied in depth by many scholars, and it is an
important task to improve the learning and adaptive capabilities of the algorithms so that …

The main objective of this study is to formulate and solve the model of non-linear fixed-
charge transportation problem (NFCTP), which is one of the NP-hard problems. This type of …

In recent years, there has been a rapid increase in distributed generation (DG) technologies
incorporated into distribution networks (DNs) to meet the challenge of load growth. However …

Abstract The Symbiotic Organism Search (SOS) algorithm, and most of its variants, exhibit
the same search behaviour. That is, each organism or individual in the ecosystem applies …

In recent years, scholars have developed and enhanced optimization algorithms to tackle
high-dimensional optimization and engineering challenges. The primary challenge of high …

Aiming at the deficiencies of the sparrow search algorithm (SSA), such as being easily
disturbed by the local optimal and deficient optimization accuracy, a multi-strategy sparrow …

This work introduces a Partition Bound Particle Swarm Optimization (PB-PSO) algorithm to
enhance convergence rates in analog circuit optimization. Two new parameters, and, are …

This paper proposes a novel multi-hybrid algorithm named DHPN, using the best-known
properties of dwarf mongoose algorithm (DMA), honey badger algorithm (HBA), prairie dog …

There are many design problems need to be optimized in various fields of engineering, and
most of them belong to the NP-hard problem. The meta-heuristic algorithm is one kind of …