In this paper an improvement of a well-known nature inspired meta-heuristic algorithm is compared with the original algorithm i.e. Multi-Verse Optimizer (MVO). Multi-Verse Optimizer with Time Freeze Effect (MVOTFE) is compared with original MVO in terms of optimization performance, time taken and convergence behavior. MVOTFE is first tested with same 19 benchmark test problems that are used by MVO. MVOTFE uses same mathematical model as used by MVO with only addition of time freeze effect in the algorithm. Comparative analysis suggests that MVOTFE not only outperforms original MVO in 16 out of 19 test problems but also provides faster convergence in lesser time. As indicated by convergence curves, it also effectively escapes from local optima present in the search space.
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Global Journal of Technology and Optimization received 664 citations as per Google Scholar report
