首页> 外文会议>Evolutionary Computation (CEC), 2012 IEEE Congress on >SaFESST: Stochastic Fleet Estimation under Steady State Tasking via evolutionary fleet scheduling
【24h】

SaFESST: Stochastic Fleet Estimation under Steady State Tasking via evolutionary fleet scheduling

机译:SaFESST:在稳定状态任务下通过进化舰队调度进行随机舰队估计

获取原文

摘要

Militaries involved in transportation of people and cargo need to be able to assess which tasks they can or cannot do given a specified fleet of heterogeneous platforms (such as vehicles or aircraft). We introduce the Stochastic Fleet Estimation under Steady State Tasking (SaFESST) model to determine which tasks will not be achievable. SaFESST is a bin-packing model which uses a fleet configuration (the assignment of specific platforms to each of the tasks) to fit each task from a scenario within the platform bins (the height of the bin represents the number of platforms). Each individual platform is represented by a strip of scenario length which is packed by sub-tasks it can carry out. SaFESST is run on a set of 10,000 scenarios for a single fleet configuration. Results are reported on various statistics of tasks that are unachievable.
机译:参与人员和货物运输的军事人员必须能够评估给定特定种类的异构平台(例如车辆或飞机)可以完成或不能完成的任务。我们引入稳态任务分配(SaFESST)模型下的随机舰队估计,以确定哪些任务无法实现。 SaFESST是一种装箱模型,它使用车队配置(将特定平台分配给每个任务)来适应平台装箱中场景中的每个任务(装箱的高度代表平台的数量)。每个单独的平台都由一段场景长度表示,场景长度由它可以执行的子任务打包而成。 SaFESST在单个车队配置的10,000个场景中运行。在无法完成的任务的各种统计数据中报告结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号