Multiobjective genetic algorithm for demand side management of smart grid

Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Scheduling, CISched 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Volumn , Issue , 2013, Pages 14-21

  Hu, Xiao Min ^a   Zhan, Zhi Hui ^a   Lin, Ying ^a   Gong, Yue Jiao ^a   Yu, Wei Jie ^a   Hu, Yao Xiu ^a   Zhang, Jun ^a  

^a SUN YAT SEN UNIVERSITY   (China)

Author keywords

demand side management; Genetic algorithms; multiobjective; smart grid

Indexed keywords

CONVENTIONAL METHODS; DEMAND SIDE MANAGEMENTS; MANAGEMENT SCHEME; MULTI OBJECTIVE; MULTI-OBJECTIVE GA; MULTI-OBJECTIVE GENETIC ALGORITHM; OPTIMIZATION PROBLEMS; SMART GRID;

ARTIFICIAL INTELLIGENCE; MULTIOBJECTIVE OPTIMIZATION; SCHEDULING; SMART POWER GRIDS;

GENETIC ALGORITHMS;

EID: 84886684248     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SCIS.2013.6613247     Document Type: Conference Paper

References (15)

1. H. Farhangi, "The path of the smart grid," IEEE Power and Energy Magazine, vol. 8, no. 1, pp. 18-28, 2010.
2. I. Koutsopoulos and L. Tassiulas, "Challenges in demand load control for the smart grid," IEEE Network, vol. 25, no. 5, pp. 16-21, 2011.
3. T. T. Kim and H. V. Poor, "Schdeuling power consumption with price uncertainty," IEEE Trans Smart Grid, vol. 2, no. 3, pp. 519-527, 2011.
4. T. Logenthiran, D. Srinivasan, and T. Z. Shun, "Demand side management in smart grid using heuristic optimization," IEEE Trans Smart Grid, vol. 3, no. 3, pp. 1244-1252, 2012.
5. A.-H. Mohsenian-Rad, V. W. S. Wong, J. Jatskevich, R. Schober, and A. Leon-Garcia, "Autonomous demand-side management based on gametheoretic energy consumption scheduling for the future smart grid," IEEE Trans Smart Grid, vol. 1, no. 3, pp. 320-331, 2010.
6. P. Du and N. Lu, "Appliance commitment for household load scheduling," IEEE Trans Smart Grid, vol. 2, no. 2, pp. 411-419, 2011.
7. J. H. Holland, Adaptation in Natural and Artificial Systems, Ann Arbor, MI: The University of Michigan Press, 1975.
8. X-M. Hu and J. Zhang, "Ant colony optimizatin for enhancing scheduling reliability in wireless sensor networks," in Proc. 2012 IEEE Intern. Conf. Systems, Man, and Cybernetics, pp. 785-790, 2012.
9. X.-M. Hu, J. Zhang, Y. Yu, H. S.-H. Chung, Y.-L. Li, Y.-H. Shi, and X.-N. Luo, "Hybrid genetic algorithm using a forward encoding scheme for lifetime maximization of wireless sensor networks," IEEE Trans. Evol. Comput., 766-781, vol. 14, no. 5, 2010.
10. X.-M. Hu, J. Zhang, et al, "SamACO: variable sampling ant colony optimization algorithm for continuous optimization," IEEE Trans. Systems, Man, and Cybernetics-Part B, vol. 40, no. 6, pp. 1555-1566, 2010.
11. Z. H. Zhan, Jun Zhang, et al, "Multiple populations for multiple objectives: A co-evolutionary technique for solving multi-objective optimization problems ", IEEE Trans. Systems, Man, and Cybernetics-Part B: Cybernetics. (in press)
12. W.-N. Chen, Jun Zhang, "Ant colony optimization for software project scheduling and staffing with an event-based scheduler," IEEE Trans. Software Engineering, (in press)
13. X.-M. Hu, Jun Zhang, H. Chung, and J. Xiao, "An intelligent testing system embedded with an ant-colony-optimization-based test composition method," IEEE Trans. Systems, Man, and Cybernetics-Part C, Vol. 39, No. 6, pp. 659-669, 2009.
14. J. Zhang, H. S.-H. Chung, and W.-L. Lo, "Clustering-based adaptive crossover and mutation probabilities for genetic algorithms," IEEE Trans. Evol. Comput., vol. 11, no. 3, pp. 326-335, Jun. 2007.
15. K. Deb, A. Pratap, and T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGA-II," IEEE Trans. Evol. Comput., vol. 6, no. 2, pp. 182-197, 2002.