• Ch. Leela Kumari
• Ayani Nandi
• Vikram Kumar Kamboj

Multi Verse Optimizer is an original nature motivated global optimization algorithm which depend on the model of multi verse in physics. As every big bang theory causes about birth for new universe. Each universe consists of inflation rate, main cause of formation of white, black, worm hole, stars, physical laws and planets. Here the paper gives the utility of algorithm MVO for the answer of dynamic and non-convex financial load dispatch problem of electrical electricity system. Black hole, white hole and warm hole are taken into consideration to reach optimal solution. The performance of MVO set of rules is examined for monetary load dispatch problems of 6 IEEE benchmarks of little and intermediate balance strength structures and consequences are demonstrated through using relative observe including genetic set of rules Grey Wolf Optimizer (GWO), Genetic Algorithm (GA) and Artificial Bee Colony (ABC), along with Evolutionary Programming (EP), Particle Swarm Optimization (PSO) algorithm and Lambda Iteration Method. It is displayed that the concert of Multi Verse Optimizer rules are superior to meta-heuristics, heuristics and Grey Wolf Optimizer algorithms.

Grey Wolf Optimizer (GWO), Multi-Verse Optimization (MVO), Economic Load Dispatch Problem (ELDP)

"An Optimal Solution To Single Area Economic Load Dispatch Using Multi-Verse Optimizer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.271-281, January 2019, Available :http://www.jetir.org/papers/JETIRDX06045.pdf

"An Optimal Solution To Single Area Economic Load Dispatch Using Multi-Verse Optimizer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp271-281, January 2019, Available at : http://www.jetir.org/papers/JETIRDX06045.pdf