A Novel Meta-Heuristic Hybrid Enhanced Differential Harmony Wind Driven (EDHWDO) Optimization Technique for Demand Side Management in Smart Grid

Talha Naeem Qureshi, Nadeem Javaid, Aqdas Naz, Waseem Ahmad, Muhammad Imran 0001, Zahoor Ali Khan. A Novel Meta-Heuristic Hybrid Enhanced Differential Harmony Wind Driven (EDHWDO) Optimization Technique for Demand Side Management in Smart Grid. In Leonard Barolli, Makoto Takizawa 0001, Tomoya Enokido, Marek R. Ogiela, Lidia Ogiela, Nadeem Javaid, editors, 32nd International Conference on Advanced Information Networking and Applications Workshops, AINA 2018 workshops, Krakow, Poland, May 16-18, 2018. pages 454-461, IEEE Computer Society, 2018. [doi]

@inproceedings{QureshiJNAIK18,
  title = {A Novel Meta-Heuristic Hybrid Enhanced Differential Harmony Wind Driven (EDHWDO) Optimization Technique for Demand Side Management in Smart Grid},
  author = {Talha Naeem Qureshi and Nadeem Javaid and Aqdas Naz and Waseem Ahmad and Muhammad Imran 0001 and Zahoor Ali Khan},
  year = {2018},
  doi = {10.1109/WAINA.2018.00128},
  url = {http://doi.ieeecomputersociety.org/10.1109/WAINA.2018.00128},
  researchr = {https://researchr.org/publication/QureshiJNAIK18},
  cites = {0},
  citedby = {0},
  pages = {454-461},
  booktitle = {32nd International Conference on Advanced Information Networking and Applications Workshops, AINA 2018 workshops, Krakow, Poland, May 16-18, 2018},
  editor = {Leonard Barolli and Makoto Takizawa 0001 and Tomoya Enokido and Marek R. Ogiela and Lidia Ogiela and Nadeem Javaid},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5386-5395-1},
}