The time dependent vehicle routing problem with time windows（TDVRPTW） is considered. A multi-type ant system（MTAS） algorithm hybridized with the ant colony system（ACS）and the max-min ant system（MMAS） algorithm...The time dependent vehicle routing problem with time windows（TDVRPTW） is considered. A multi-type ant system（MTAS） algorithm hybridized with the ant colony system（ACS）and the max-min ant system（MMAS） algorithms is proposed. This combination absorbs the merits of the two algorithms in solutions construction and optimization separately. In order to improve the efficiency of the insertion procedure, a nearest neighbor selection（NNS） mechanism, an insertion local search procedure and a local optimization procedure are specified in detail. And in order to find a balance between good scouting performance and fast convergence rate, an adaptive pheromone updating strategy is proposed in the MTAS. Computational results confirm the MTAS algorithm＇s good performance with all these strategies on classic vehicle routing problem with time windows（VRPTW） benchmark instances and the TDVRPTW instances, and some better results especially for the number of vehicles and travel times of the best solutions are obtained in comparison with the previous research.展开更多
Along with the rapid advance of industrialization and urbanization process, fostering new agricultural business entities become inevitable for agricultural transformation and the construction of agricultural moderniza...Along with the rapid advance of industrialization and urbanization process, fostering new agricultural business entities become inevitable for agricultural transformation and the construction of agricultural modernization in China. The status of the new agricultural business entities determines the level of modern agricultural development. In recent years, new agricultural business entities have grew rapidly. However, there are still many problems including the difficulties in financing loans, inadequate agricultural insurance system, bad implementation of agricultural subsidies, jagged agricultural talents and so on. In order to foster new agricultural business entities, countermeasures should be carried out to ensure financial support, perfect the agricultural insurance, strengthen the level of agricultural subsidies, strive to develop the degree of specialization agricultural operators and so on.展开更多
煤炭是能源消费降碳的主力军,煤炭开发利用过程中产生的碳排放占全国碳排放总量的60%~70%,是我国完成碳减排任务的关键所在。煤炭开采利用碳排放治理技术知识图谱构建与应用聚焦煤炭开采利用碳排放治理技术,系统梳理出相关治理技术知识...煤炭是能源消费降碳的主力军,煤炭开发利用过程中产生的碳排放占全国碳排放总量的60%~70%,是我国完成碳减排任务的关键所在。煤炭开采利用碳排放治理技术知识图谱构建与应用聚焦煤炭开采利用碳排放治理技术,系统梳理出相关治理技术知识,在此基础上构建知识图谱,挖掘出不同技术间的内在联系、适用条件、实施效果及减排路径,为相关人员获取碳排放治理技术领域前沿知识提供支撑,推动煤炭行业向绿色低碳方向转型。一是广泛收集煤炭减排技术相关的专业书籍、术语字典、权威研究报告、中国知网核心期刊文献以及各类标准规范等,采用自底向上和自顶向下的混合构建法构建煤炭开采利用碳排放治理技术领域概念知识模型;二是运用BIO标注策略,并应用BERT+CRF(Bidirectional Encoder Representations from Transformers&Conditional Random Fields)模型,识别该领域实体;三是在实体识别基础上,应用BiLSTM-Attention模型进一步挖掘实体间关系,实现关系抽取;四是采用实体消歧和共指消解技术进行知识融合,消除数据中的矛盾与冗余信息;五是通过Neo4j图数据库存储实体与关系,基于上述结构化的方法与模型,由此完成煤炭开采利用碳排放治理技术领域知识图谱的构建。构建了涵盖排放特征、开采方式、利用方式和减碳技术四大类的煤炭开采利用碳排放治理技术领域知识概念模型,又将这四大类知识概念细分为12个子类,30个细类,形成了完整的概念分类体系。定义了10类命名实体及6种关系,基于提出的知识图谱构建组合方法与创新模型,抽取出12631个节点与32209个实体间关系,揭示了碳排放技术与排放特征、开采方式、利用方式之间的复杂关联,并根据已构建的煤炭开采利用碳排放治理技术领域的知识图谱,支持矿山企业选取相适配的减碳技术路径。随着煤炭行业低碳发展的场景拓展、数据的积累以及人工智能和大模型的发展,本研究将在多模态数据融合的基础上,优化图谱的构建方法,拓展图谱的应用范围,提高技术路径推荐的精准度。展开更多
文摘The time dependent vehicle routing problem with time windows（TDVRPTW） is considered. A multi-type ant system（MTAS） algorithm hybridized with the ant colony system（ACS）and the max-min ant system（MMAS） algorithms is proposed. This combination absorbs the merits of the two algorithms in solutions construction and optimization separately. In order to improve the efficiency of the insertion procedure, a nearest neighbor selection（NNS） mechanism, an insertion local search procedure and a local optimization procedure are specified in detail. And in order to find a balance between good scouting performance and fast convergence rate, an adaptive pheromone updating strategy is proposed in the MTAS. Computational results confirm the MTAS algorithm＇s good performance with all these strategies on classic vehicle routing problem with time windows（VRPTW） benchmark instances and the TDVRPTW instances, and some better results especially for the number of vehicles and travel times of the best solutions are obtained in comparison with the previous research.
基金Supported by the National Social Science Fund(13CJY079)the National Natural Science Fund(71303039)
文摘Along with the rapid advance of industrialization and urbanization process, fostering new agricultural business entities become inevitable for agricultural transformation and the construction of agricultural modernization in China. The status of the new agricultural business entities determines the level of modern agricultural development. In recent years, new agricultural business entities have grew rapidly. However, there are still many problems including the difficulties in financing loans, inadequate agricultural insurance system, bad implementation of agricultural subsidies, jagged agricultural talents and so on. In order to foster new agricultural business entities, countermeasures should be carried out to ensure financial support, perfect the agricultural insurance, strengthen the level of agricultural subsidies, strive to develop the degree of specialization agricultural operators and so on.
文摘煤炭是能源消费降碳的主力军,煤炭开发利用过程中产生的碳排放占全国碳排放总量的60%~70%,是我国完成碳减排任务的关键所在。煤炭开采利用碳排放治理技术知识图谱构建与应用聚焦煤炭开采利用碳排放治理技术,系统梳理出相关治理技术知识,在此基础上构建知识图谱,挖掘出不同技术间的内在联系、适用条件、实施效果及减排路径,为相关人员获取碳排放治理技术领域前沿知识提供支撑,推动煤炭行业向绿色低碳方向转型。一是广泛收集煤炭减排技术相关的专业书籍、术语字典、权威研究报告、中国知网核心期刊文献以及各类标准规范等,采用自底向上和自顶向下的混合构建法构建煤炭开采利用碳排放治理技术领域概念知识模型;二是运用BIO标注策略,并应用BERT+CRF(Bidirectional Encoder Representations from Transformers&Conditional Random Fields)模型,识别该领域实体;三是在实体识别基础上,应用BiLSTM-Attention模型进一步挖掘实体间关系,实现关系抽取;四是采用实体消歧和共指消解技术进行知识融合,消除数据中的矛盾与冗余信息;五是通过Neo4j图数据库存储实体与关系,基于上述结构化的方法与模型,由此完成煤炭开采利用碳排放治理技术领域知识图谱的构建。构建了涵盖排放特征、开采方式、利用方式和减碳技术四大类的煤炭开采利用碳排放治理技术领域知识概念模型,又将这四大类知识概念细分为12个子类,30个细类,形成了完整的概念分类体系。定义了10类命名实体及6种关系,基于提出的知识图谱构建组合方法与创新模型,抽取出12631个节点与32209个实体间关系,揭示了碳排放技术与排放特征、开采方式、利用方式之间的复杂关联,并根据已构建的煤炭开采利用碳排放治理技术领域的知识图谱,支持矿山企业选取相适配的减碳技术路径。随着煤炭行业低碳发展的场景拓展、数据的积累以及人工智能和大模型的发展,本研究将在多模态数据融合的基础上,优化图谱的构建方法,拓展图谱的应用范围,提高技术路径推荐的精准度。
