There have been many algorithms created and introduced in the literature inspired by
various events observable in nature, such as evolutionary phenomena, the actions of social …

Multi-modal medical image fusion brings many benefits to clinical diagnosis and analysis
because it creates favorable conditions for diagnostic imaging practitioners to make a more …

Equilibrium optimizer (EO) is a recent optimization method inspired by the physical equation
of the mass balance that provides the conservation of mass entering, leaving, and …

Medical image fusion is a technique of extracting information from multiple image modalities
and combining them to create a single image with the aim of improving the image content …

The simulation, assessment, and harvesting of maximum energy of the solar photovoltaic
(PV) system require accurate and fast parameter estimation for solar cell/module models. No …

Aiming at the job-shop scheduling problem (JSP), a dynamic grouping fish migration
optimization (DFMO) is proposed to solve it. The DFMO algorithm adopts a multi-group …

The Phasmatodea population evolution algorithm (PPE) is a novel metaheuristic algorithm
proposed in recent years, which simulates the evolutionary trend of stick insect population …

Abstract The Equilibrium Optimiser (EO) has been demonstrated to be one of the
metaheuristic algorithms that can effectively solve global optimisation problems. Balancing …

Capacitated Vehicle Routing Problem (CVRP) is difficult to solve by the traditional precise
methods in the transportation area. The metaheuristic algorithm is often used to solve CVRP …

In recent years, the use of long short‐term memory (LSTM) has made significant
contributions to various fields and the use of intelligent optimization algorithms combined …