{"title":"Application of Metaheuristic Optimisation Methods to the Design of Guided-Mode Resonance Filters: A Comparative Study","authors":"Amirreza Asadollahzadeh, Amirali Tavakkoli-Kakhki, Mehrdad Shokooh-Saremi","doi":"10.1049/ote2.70026","DOIUrl":null,"url":null,"abstract":"<p>The design of optical elements often requires precise optimisation where metaheuristic algorithms have emerged as a powerful approach. This study aims to optimise a guided-mode resonance reflectance filter chosen due to its extreme parameter sensitivity, which makes it an exemplary platform for evaluating metaheuristic algorithms in photonics. We rigorously compare six established metaheuristic techniques (particle swarm optimisation (PSO), genetic algorithm (GA), shuffled frog leaping algorithm (SFLA), artificial bee colony (ABC), imperialist competitive algorithm (ICA), and differential evolution (DE)) using critical performance metrics. This systematic analysis not only benchmarks algorithm effectiveness for guided-mode resonance filters but also establishes guidelines for optimising parameter-sensitive photonic devices.</p>","PeriodicalId":13408,"journal":{"name":"Iet Optoelectronics","volume":"20 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/ote2.70026","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iet Optoelectronics","FirstCategoryId":"94","ListUrlMain":"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ote2.70026","RegionNum":4,"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
The design of optical elements often requires precise optimisation where metaheuristic algorithms have emerged as a powerful approach. This study aims to optimise a guided-mode resonance reflectance filter chosen due to its extreme parameter sensitivity, which makes it an exemplary platform for evaluating metaheuristic algorithms in photonics. We rigorously compare six established metaheuristic techniques (particle swarm optimisation (PSO), genetic algorithm (GA), shuffled frog leaping algorithm (SFLA), artificial bee colony (ABC), imperialist competitive algorithm (ICA), and differential evolution (DE)) using critical performance metrics. This systematic analysis not only benchmarks algorithm effectiveness for guided-mode resonance filters but also establishes guidelines for optimising parameter-sensitive photonic devices.
期刊介绍：
IET Optoelectronics publishes state of the art research papers in the field of optoelectronics and photonics. The topics that are covered by the journal include optical and optoelectronic materials, nanophotonics, metamaterials and photonic crystals, light sources (e.g. LEDs, lasers and devices for lighting), optical modulation and multiplexing, optical fibres, cables and connectors, optical amplifiers, photodetectors and optical receivers, photonic integrated circuits, photonic systems, optical signal processing and holography and displays.
Most of the papers published describe original research from universities and industrial and government laboratories. However correspondence suggesting review papers and tutorials is welcomed, as are suggestions for special issues.
IET Optoelectronics covers but is not limited to the following topics:
Optical and optoelectronic materials
Light sources, including LEDs, lasers and devices for lighting
Optical modulation and multiplexing
Optical fibres, cables and connectors
Optical amplifiers
Photodetectors and optical receivers
Photonic integrated circuits
Nanophotonics and photonic crystals
Optical signal processing
Holography
Displays
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