期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
A novel hybrid estimation of distribution algorithm for solving hybrid flowshop scheduling problem with unrelated parallel machine 被引量:9
1
作者 孙泽文 顾幸生 《Journal of Central South University》 SCIE EI CAS CSCD 2017年第8期1779-1788,共10页
The hybrid flow shop scheduling problem with unrelated parallel machine is a typical NP-hard combinatorial optimization problem, and it exists widely in chemical, manufacturing and pharmaceutical industry. In this wor... The hybrid flow shop scheduling problem with unrelated parallel machine is a typical NP-hard combinatorial optimization problem, and it exists widely in chemical, manufacturing and pharmaceutical industry. In this work, a novel mathematic model for the hybrid flow shop scheduling problem with unrelated parallel machine(HFSPUPM) was proposed. Additionally, an effective hybrid estimation of distribution algorithm was proposed to solve the HFSPUPM, taking advantage of the features in the mathematic model. In the optimization algorithm, a new individual representation method was adopted. The(EDA) structure was used for global search while the teaching learning based optimization(TLBO) strategy was used for local search. Based on the structure of the HFSPUPM, this work presents a series of discrete operations. Simulation results show the effectiveness of the proposed hybrid algorithm compared with other algorithms. 展开更多
关键词 hybrid estimation of distribution algorithm teaching learning based optimization strategy hybrid flow shop unrelated parallel machine scheduling
下载PDF
Improved multi-objective artificial bee colony algorithm for optimal power flow problem 被引量:1
2
作者 马连博 胡琨元 +1 位作者 朱云龙 陈瀚宁 《Journal of Central South University》 SCIE EI CAS 2014年第11期4220-4227,共8页
The artificial bee colony(ABC) algorithm is improved to construct a hybrid multi-objective ABC algorithm, called HMOABC, for resolving optimal power flow(OPF) problem by simultaneously optimizing three conflicting obj... The artificial bee colony(ABC) algorithm is improved to construct a hybrid multi-objective ABC algorithm, called HMOABC, for resolving optimal power flow(OPF) problem by simultaneously optimizing three conflicting objectives of OPF, instead of transforming multi-objective functions into a single objective function. The main idea of HMOABC is to extend original ABC algorithm to multi-objective and cooperative mode by combining the Pareto dominance and divide-and-conquer approach. HMOABC is then used in the 30-bus IEEE test system for solving the OPF problem considering the cost, loss, and emission impacts. The simulation results show that the HMOABC is superior to other algorithms in terms of optimization accuracy and computation robustness. 展开更多
关键词 cooperative artificial colony algorithm optimal power flow multi-objective optimization
下载PDF
A multi-objective multi-memetic algorithm for network-wide conflict-free 4D flight trajectories planning 被引量:8
3
作者 Su YAN Kaiquan CAI 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2017年第3期1161-1173,共13页
Under the demand of strategic air traffic flow management and the concept of trajectory based operations(TBO),the network-wide 4D flight trajectories planning(N4DFTP) problem has been investigated with the purpose... Under the demand of strategic air traffic flow management and the concept of trajectory based operations(TBO),the network-wide 4D flight trajectories planning(N4DFTP) problem has been investigated with the purpose of safely and efficiently allocating 4D trajectories(4DTs)(3D position and time) for all the flights in the whole airway network.Considering that the introduction of large-scale 4DTs inevitably increases the problem complexity,an efficient model for strategiclevel conflict management is developed in this paper.Specifically,a bi-objective N4 DFTP problem that aims to minimize both potential conflicts and the trajectory cost is formulated.In consideration of the large-scale,high-complexity,and multi-objective characteristics of the N4DFTP problem,a multi-objective multi-memetic algorithm(MOMMA) that incorporates an evolutionary global search framework together with three problem-specific local search operators is implemented.It is capable of rapidly and effectively allocating 4DTs via rerouting,target time controlling,and flight level changing.Additionally,to balance the ability of exploitation and exploration of the algorithm,a special hybridization scheme is adopted for the integration of local and global search.Empirical studies using real air traffic data in China with different network complexities show that the proposed MOMMA is effective to solve the N4 DFTP problem.The solutions achieved are competitive for elaborate decision support under a TBO environment. 展开更多
关键词 Air traffic flow management 4D trajectory planning Multi-memetic algorithm Multi-objective optimization Network-wide strategic conflict management
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部