{"title":"最佳卫星有效载荷选择和规范","authors":"J. Flory, Jefirey P. Kharoufeh","doi":"10.5711/MORJ.15.3.42","DOIUrl":null,"url":null,"abstract":"We consider the problem of optimally selecting and specifying satellite payloads for inclusion on a sequence of satellite launches to maximize the total expected utility of a constellation. The satellite bus is constrained by energy, weight, volume, and cost limitations. We formulate the problem as a variant of the multidimensional knapsack problem and provide exact and heuristic solution methods. Exact solutions are obtained for small and moderately-sized constellations. For larger constellations, the heuristic techniques provide solutions within 4% of the best-known integer solution.","PeriodicalId":54242,"journal":{"name":"Military Operations Research","volume":"15 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Optimal Satellite Payload Selection and Specification\",\"authors\":\"J. Flory, Jefirey P. Kharoufeh\",\"doi\":\"10.5711/MORJ.15.3.42\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the problem of optimally selecting and specifying satellite payloads for inclusion on a sequence of satellite launches to maximize the total expected utility of a constellation. The satellite bus is constrained by energy, weight, volume, and cost limitations. We formulate the problem as a variant of the multidimensional knapsack problem and provide exact and heuristic solution methods. Exact solutions are obtained for small and moderately-sized constellations. For larger constellations, the heuristic techniques provide solutions within 4% of the best-known integer solution.\",\"PeriodicalId\":54242,\"journal\":{\"name\":\"Military Operations Research\",\"volume\":\"15 1\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2010-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Military Operations Research\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.5711/MORJ.15.3.42\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"OPERATIONS RESEARCH & MANAGEMENT SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Military Operations Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.5711/MORJ.15.3.42","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
Optimal Satellite Payload Selection and Specification
We consider the problem of optimally selecting and specifying satellite payloads for inclusion on a sequence of satellite launches to maximize the total expected utility of a constellation. The satellite bus is constrained by energy, weight, volume, and cost limitations. We formulate the problem as a variant of the multidimensional knapsack problem and provide exact and heuristic solution methods. Exact solutions are obtained for small and moderately-sized constellations. For larger constellations, the heuristic techniques provide solutions within 4% of the best-known integer solution.
期刊介绍:
Military Operations Research is a peer-reviewed journal of high academic quality. The Journal publishes articles that describe operations research (OR) methodologies and theories used in key military and national security applications. Of particular interest are papers that present: Case studies showing innovative OR applications Apply OR to major policy issues Introduce interesting new problems areas Highlight education issues Document the history of military and national security OR.