{"title":"药盒介电窗设计中的优化与算法质量度量","authors":"Patibandla Anilkumar;Dobbidi Pamu;Tapeshwar Tiwari","doi":"10.1109/TPS.2025.3538864","DOIUrl":null,"url":null,"abstract":"The pill-box dielectric window is a key component in vacuum electron devices. Using the backtracking search algorithm (BSA) for its optimal design helps identify the precise design variables needed to achieve a desired frequency of 2.998 GHz and maximize bandwidth. The optimal design variables are a cavity length (<inline-formula> <tex-math>$C_{l}$ </tex-math></inline-formula>) of 27 mm and a cavity radius (<inline-formula> <tex-math>$C_{r}$ </tex-math></inline-formula>) of 33.3 mm. The pareto multi-objective backtracking search algorithm (PMBSA) algorithm’s performance was validated against well-known algorithms harmony search algorithm (HSA), multi-objective particle swarm optimization (MOPSO), and nondominated sorting genetic algorithm (NSGA-II). The quality of these algorithms was assessed using C-metric and spacing (SP) metric analyses, with the results presented in a box plot. Both the analyses suggest that PMBSA offers favorable results.","PeriodicalId":450,"journal":{"name":"IEEE Transactions on Plasma Science","volume":"53 4","pages":"622-626"},"PeriodicalIF":1.3000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization and Algorithm Quality Measure in the Design of Pill-Box Dielectric Window\",\"authors\":\"Patibandla Anilkumar;Dobbidi Pamu;Tapeshwar Tiwari\",\"doi\":\"10.1109/TPS.2025.3538864\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The pill-box dielectric window is a key component in vacuum electron devices. Using the backtracking search algorithm (BSA) for its optimal design helps identify the precise design variables needed to achieve a desired frequency of 2.998 GHz and maximize bandwidth. The optimal design variables are a cavity length (<inline-formula> <tex-math>$C_{l}$ </tex-math></inline-formula>) of 27 mm and a cavity radius (<inline-formula> <tex-math>$C_{r}$ </tex-math></inline-formula>) of 33.3 mm. The pareto multi-objective backtracking search algorithm (PMBSA) algorithm’s performance was validated against well-known algorithms harmony search algorithm (HSA), multi-objective particle swarm optimization (MOPSO), and nondominated sorting genetic algorithm (NSGA-II). The quality of these algorithms was assessed using C-metric and spacing (SP) metric analyses, with the results presented in a box plot. Both the analyses suggest that PMBSA offers favorable results.\",\"PeriodicalId\":450,\"journal\":{\"name\":\"IEEE Transactions on Plasma Science\",\"volume\":\"53 4\",\"pages\":\"622-626\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2025-02-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Plasma Science\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10907862/\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PHYSICS, FLUIDS & PLASMAS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Plasma Science","FirstCategoryId":"101","ListUrlMain":"https://ieeexplore.ieee.org/document/10907862/","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHYSICS, FLUIDS & PLASMAS","Score":null,"Total":0}
Optimization and Algorithm Quality Measure in the Design of Pill-Box Dielectric Window
The pill-box dielectric window is a key component in vacuum electron devices. Using the backtracking search algorithm (BSA) for its optimal design helps identify the precise design variables needed to achieve a desired frequency of 2.998 GHz and maximize bandwidth. The optimal design variables are a cavity length ($C_{l}$ ) of 27 mm and a cavity radius ($C_{r}$ ) of 33.3 mm. The pareto multi-objective backtracking search algorithm (PMBSA) algorithm’s performance was validated against well-known algorithms harmony search algorithm (HSA), multi-objective particle swarm optimization (MOPSO), and nondominated sorting genetic algorithm (NSGA-II). The quality of these algorithms was assessed using C-metric and spacing (SP) metric analyses, with the results presented in a box plot. Both the analyses suggest that PMBSA offers favorable results.
期刊介绍:
The scope covers all aspects of the theory and application of plasma science. It includes the following areas: magnetohydrodynamics; thermionics and plasma diodes; basic plasma phenomena; gaseous electronics; microwave/plasma interaction; electron, ion, and plasma sources; space plasmas; intense electron and ion beams; laser-plasma interactions; plasma diagnostics; plasma chemistry and processing; solid-state plasmas; plasma heating; plasma for controlled fusion research; high energy density plasmas; industrial/commercial applications of plasma physics; plasma waves and instabilities; and high power microwave and submillimeter wave generation.