期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Geoinformation techniques in natural hazard modeling:Preface
1
作者 Biswajeet Pradhan 《Geoscience Frontiers》 SCIE CAS CSCD 2015年第6期791-792,共2页
There are number of geoinformation approaches and modeling tools to the numerical measurement of natural hazards,including direct and indirect heuristic approaches,and deterministic,probabilistic,statistical and data ... There are number of geoinformation approaches and modeling tools to the numerical measurement of natural hazards,including direct and indirect heuristic approaches,and deterministic,probabilistic,statistical and data mining approaches(Pradhan and Buchroithner,2012;Pradhan et al.,2012,2014;Pradhan,2013).In this thematic section of Geoscience Frontiers,a set of six contributions are assembled that provide a window on various parameters, 展开更多
关键词 thematic probabilistic deterministic heuristic contributions assembled hazard landslide triggered holistic
下载PDF
Improved Estimation of Distribution Algorithm for Solving Unrelated Parallel Machine Scheduling Problem
2
作者 孙泽文 顾幸生 《Journal of Donghua University(English Edition)》 EI CAS 2016年第5期797-802,共6页
Scheduling problem is a well-known combinatorial optimization problem.An effective improved estimation of distribution algorithm(IEDA) was proposed for minimizing the makespan of the unrelated parallel machine schedul... Scheduling problem is a well-known combinatorial optimization problem.An effective improved estimation of distribution algorithm(IEDA) was proposed for minimizing the makespan of the unrelated parallel machine scheduling problem(UPMSP).Mathematical description was given for the UPMSP.The IEDA which was combined with variable neighborhood search(IEDA_VNS) was proposed to solve the UPMSP in order to improve local search ability.A new encoding method was designed for representing the feasible solutions of the UPMSP.More knowledge of the UPMSP were taken consideration in IEDA_ VNS for probability matrix which was based the processing time matrix.The simulation results show that the proposed IEDA_VNS can solve the problem effectively. 展开更多
关键词 Scheduling neighborhood scheduling minimizing processed unrelated probabilistic intelligent heuristic representing
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部