@inproceedings{e1d630b0600e4a4a82cefb714480e432,
title = "Optimal generation scheduling of thermal System using biologically inspired grasshopper algorithm",
abstract = "This paper presents Grasshopper Optimization Algorithm (GOA) for solution of economic dispatch (ED) problem related to electrical power systems. GOA is a novel bio inspired optimization approach that mimics the behavior of grasshopper insect during optimization. To check the feasibility and validity of GOA it is employed to solve three different types of ED problems comprising of small, medium and large scale power systems having different complexity levels. The experimental results show that the GOA method is quite promising for solving a wide range of ED problems very efficiently. The performance of the GOA is found to be superior to other recently reported methods available in literature.",
keywords = "Grasshopper Optimization, economic dispatch, transmission loss, valve point loading effect",
author = "Neelam Rajput and Vishal Chaudhary and Dubey, \{Hari Mohan\} and Manjaree Pandit",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2nd International Conference on Telecommunication and Networks, TEL-NET 2017 ; Conference date: 10-08-2017 Through 11-08-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/TEL-NET.2017.8343580",
language = "English",
series = "2nd International Conference on Telecommunication and Networks, TEL-NET 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "2nd International Conference on Telecommunication and Networks, TEL-NET 2017",
}