Evolutionary algorithms (EA), a class of stochastic search methods based on the principles
of natural evolution, have received widespread acclaim for their exceptional performance in …

In recent years, differential evolution algorithms based on archives have achieved significant
success because archives can increase population diversity and balance the exploration …

Surrogate-assisted evolutionary algorithms (SAEAs) prevail in the solution of
computationally expensive optimization problems. However, with the growth of problem …

The rapid expansion of the satellite industry has presented numerous opportunities across
various sectors and significantly transformed people's daily lives. However, the high energy …

In a multi-sensor positioning system (MSPS), the layout of sensors plays a crucial role in
determining the system's performance. Therefore, addressing the sensor layout problem …

The evolution of satellite surveillance technology, bolstered by advanced onboard intelligent
systems and enhanced attitude maneuver capabilities, has thrust mission scheduling and …

Transfer learning can handle the domain adaptation of different feature spaces in nonlinear
systems. Most existing studies only focus on common features between heterogeneous …

In recent studies, task scheduling problems of earth observation satellites (EOSs) still
encounter large difficulties when they meet the increasing number of satellites. Moreover …

The reduction of carbon emissions in the manufacturing industry holds significant
importance in achieving the national” double carbon” target. Ensuring energy efficiency is a …

Abstract The Arithmetic Optimization Algorithm (AOA) is a novel metaheuristic inspired by
mathematical arithmetic operators. Due to its simple structure and flexible parameter …