摘要
在未来海军一体化联合作战的背景下,海战场作战效能越来越依赖于作战资源的整体效能。根据任务对资源的能力需求和作战资源的能力匹配以及资源约束条件,建立合同作战资源的多目标规划模型。基于模糊逻辑理论量化决策者的决策偏好信息,提出了一种基于模糊偏好的多目标量子行为粒子群优化(FPMOQPSO)算法。仿真结果表明,基于FPMOQPSO算法的作战资源规划方案更具针对性,能够减轻决策者的决策负担。
Under the background of integrated joint operations for navy in the future, operational efficiency increas tive planning mo ingly depends on the overall efficiency of the combat resources. A multi-objec- del is established for operation resource planning according to capability demands of each basic task, capability match of combat resources and resource restriction conditions. Fuzzy preference-based multi-objective quantum-behaved particle swarm optimization （FPMOQP- SO） algorithm is proposed based on the decision preference information for commander by fuzzy logic theory. Simulation results indicate that the schemes of operation resource planning based on the FPMOQPSO algorithm can ensure the pertinence, thus alleviating the decision burden for de- cision-makers.
出处
《指挥信息系统与技术》
2015年第5期68-73,共6页
Command Information System and Technology
关键词
作战资源规划
多兵种作战
模糊逻辑
模糊偏好
多目标优化
operation resource planning
battle with multi-arms
fuzzy logic
fuzzy preference
multi-objective optimization
