1.

Record Nr.

UNINA9910688237603321

Titolo

Application of Ant Colony Optimization / / edited by Ali Soofastaei

Pubbl/distr/stampa

London : , : IntechOpen, , 2022

©2022

Descrizione fisica

1 online resource (xi, 90 pages) : illustrations

Disciplina

511.8

Soggetti

Mathematical models

Ant algorithms

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Sommario/riassunto

The application of advanced analytics in science and technology is rapidly expanding, and developing optimization technics is critical to this expansion. Instead of relying on dated procedures, researchers can reap greater rewards by utilizing cutting-edge optimization techniques like population-based metaheuristic models, which can quickly generate a solution with acceptable quality. Ant Colony Optimization (ACO) is one the most critical and widely used models among heuristics and meta-heuristics. This book discusses ACO applications in Hybrid Electric Vehicles (HEVs), multi-robot systems, wireless multi-hop networks, and preventive, predictive maintenance.