Recently, evolutionary multitasking (EMT) has been successfully used in the field of high-
dimensional classification. However, the generation of multiple tasks in the existing EMT …

The primary objective of this study is to delve into the application and validation of the
Resistance Capacitance Optimization Algorithm (RCOA)—a new, physics-inspired …

Pipe automation layout (PAL) is an important part of the system and has been widely used in
many fields. To address the shortcomings of traditional ant colony optimization (ACO) …

Many countries or regions are committed to reducing emissions in response to global
climate issues. As an industry with a large proportion of emissions, power generation …

The air supply system is an essential component of a proton exchange membrane fuel cell
(PEMFC), and proper control of the oxygen stoichiometry ratio (λo 2) is crucial to prevent …

Feature selection (FS) is a significant data preprocessing technology in many fields. FS
generally has two primary conflicting goals: 1) reducing features number and 2) improving …

A hyperheuristic homotopy algorithm (HH-HA) and a homotopy-based swarm intelligence
algorithm for parallel stochastic search are proposed to improve the search ergodicity and …

Accurate source characterization and transport parameter estimation is important when
seeking to predict the spatiotemporal distribution of dense non-aqueous phase liquid …

The immune algorithm (IA) is a prestigious heuristic algorithm based on a model of an
artificial immune system, and the IA has shown promising results in the multi-objective …

Recently, a number of resource allocation strategies have been proposed for evolutionary
algorithms to efficiently tackle multiobjective optimization problems (MOPs). However, these …