Author:
Jin Xi,Zhang Jie,Gao Jin-liang,Wu Wen-yan
Publisher
Zhejiang University Press
Reference19 articles.
1. Alvisi, S., Franchini, M., 2006. Near-optimal rehabilitation scheduling of water distribution systems based on a multi-objective genetic algorithm. Civil Engineering and Environmental Systems, 23(3):143–160. [doi:10.1080/10286600600789300]
2. Deb, K., 2001a. Multi-objective Optimization Using Evolutionary Algorithms. Wiley, Chichester, UK.
3. Deb, K., 2001b. Nonlinear goal programming using multi-objective genetic algorithms. Journal of the Operational Research Society, 52(3):291–302. [doi:10.1057/palgrave.jors.2601089]
4. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T., 2002. Fast and elitist multi-objective Genetic Algorithms: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2):182–197. [doi:10.1109/4235.996017]
5. Engelhardt, M.O., 1999. Development of a Strategy for the Optimum Replacement of Water Mains. Ph.D Thesis, University of Adelaide, Australia, p.262–263.
Cited by
33 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献