{"title":"DYNORA:满足动态环境中响应时间约束的实时规划算法","authors":"B. Hamidzadeh, S. Shekhar","doi":"10.1109/TAI.1991.167099","DOIUrl":null,"url":null,"abstract":"Most real-time planning algorithms address either the issue of response-time constraints or the issue of dynamic environments. A new real-time planning algorithm, DYNORA, is proposed to address both of these issues simultaneously. DYNORA is structured as a sequence of partial planning and execution cycles to avoid obsolescence of planning solutions at the time of execution. DYNORA uses a stopping criterion to balance planning cost and execution cost to achieve near optimal response times. DYNORA was used for the routing problem to optimize total cost. It shows better average-case time complexity than traditional real-time algorithms.<<ETX>>","PeriodicalId":371778,"journal":{"name":"[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"DYNORA: a real-time planning algorithm to meet response-time constraints in dynamic environments\",\"authors\":\"B. Hamidzadeh, S. Shekhar\",\"doi\":\"10.1109/TAI.1991.167099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most real-time planning algorithms address either the issue of response-time constraints or the issue of dynamic environments. A new real-time planning algorithm, DYNORA, is proposed to address both of these issues simultaneously. DYNORA is structured as a sequence of partial planning and execution cycles to avoid obsolescence of planning solutions at the time of execution. DYNORA uses a stopping criterion to balance planning cost and execution cost to achieve near optimal response times. DYNORA was used for the routing problem to optimize total cost. It shows better average-case time complexity than traditional real-time algorithms.<<ETX>>\",\"PeriodicalId\":371778,\"journal\":{\"name\":\"[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1991.167099\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1991.167099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DYNORA: a real-time planning algorithm to meet response-time constraints in dynamic environments
Most real-time planning algorithms address either the issue of response-time constraints or the issue of dynamic environments. A new real-time planning algorithm, DYNORA, is proposed to address both of these issues simultaneously. DYNORA is structured as a sequence of partial planning and execution cycles to avoid obsolescence of planning solutions at the time of execution. DYNORA uses a stopping criterion to balance planning cost and execution cost to achieve near optimal response times. DYNORA was used for the routing problem to optimize total cost. It shows better average-case time complexity than traditional real-time algorithms.<>