Grey Wolf Optimizer for Solving Economic Dispatch Problems

• Main Authors: Wong, Lo Ing, M. H., Sulaiman, Mohd Rusllim, Mohamed, Hong, Mee Song
• Format: Conference or Workshop Item
• Language: English; English
• Published: eSAT Publishing House Pvt. Ltd. 2014
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/7539/1/fkee-2014-wong-Grey%20Wolf%20Optimizer-conf.pdf; http://umpir.ump.edu.my/id/eprint/7539/2/fkee-2014-wong-Grey%20Wolf%20Optimizer-conf-pg1.pdf; http://umpir.ump.edu.my/id/eprint/7539/

This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) which inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for sim...