{"title":"Optimizing fiber upgrade scheduling in multi-band elastic optical networks: A comparative study of heuristic and evolutionary algorithms","authors":"Der-Rong Din","doi":"10.1016/j.yofte.2025.104275","DOIUrl":null,"url":null,"abstract":"<div><div>Fiber upgrade scheduling is a critical problem that aims to minimize costs while ensuring uninterrupted service. This paper investigates multiple optimization approaches – Heuristic Algorithm (HA), Iterative Improvement (II), Simulated Annealing (SA), and Genetic Algorithm (GA) – to determine optimal fiber upgrade schedules under no-disruption constraints. Extensive simulations on multiple benchmark networks evaluate the impact of key parameters, including the planning horizon, path diversity, cost discount ratio, and traffic growth rate. Results show that GA consistently achieves the lowest cost but incurs the highest computational time. These findings offer valuable insights into balancing cost-efficiency and computational complexity in large-scale network upgrade planning.</div></div>","PeriodicalId":19663,"journal":{"name":"Optical Fiber Technology","volume":"94 ","pages":"Article 104275"},"PeriodicalIF":2.7000,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Fiber Technology","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1068520025001506","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Fiber upgrade scheduling is a critical problem that aims to minimize costs while ensuring uninterrupted service. This paper investigates multiple optimization approaches – Heuristic Algorithm (HA), Iterative Improvement (II), Simulated Annealing (SA), and Genetic Algorithm (GA) – to determine optimal fiber upgrade schedules under no-disruption constraints. Extensive simulations on multiple benchmark networks evaluate the impact of key parameters, including the planning horizon, path diversity, cost discount ratio, and traffic growth rate. Results show that GA consistently achieves the lowest cost but incurs the highest computational time. These findings offer valuable insights into balancing cost-efficiency and computational complexity in large-scale network upgrade planning.
期刊介绍:
Innovations in optical fiber technology are revolutionizing world communications. Newly developed fiber amplifiers allow for direct transmission of high-speed signals over transcontinental distances without the need for electronic regeneration. Optical fibers find new applications in data processing. The impact of fiber materials, devices, and systems on communications in the coming decades will create an abundance of primary literature and the need for up-to-date reviews.
Optical Fiber Technology: Materials, Devices, and Systems is a new cutting-edge journal designed to fill a need in this rapidly evolving field for speedy publication of regular length papers. Both theoretical and experimental papers on fiber materials, devices, and system performance evaluation and measurements are eligible, with emphasis on practical applications.