期刊名称：IAENG International Journal of Computer Science
印刷版ISSN：1819-656X
电子版ISSN：1819-9224
出版年度：2021
卷号：48
期号：3
语种：English
出版社：IAENG - International Association of Engineers
摘要：An optimization algorithm can be defined as an attempt to find solutions to a problem under limited conditions. Heuristic algorithms are considered as special type of optimization algorithms. They are suggested by inspiration from nature. For instance, Genetic Algorithm (GA) has been inspired by the mechanics of natural selection and natural genetics. Venus flytrap optimization is a comparatively novel algorithm for the heuristic algorithm family, which is based on the natural behavior of the venus flytrap plant. The proposed algorithm is called Venus Flytrap Optimization (VFO), for solving the numerical optimization problems. Experimental analysis is implemented on some benchmark functions to show the performance of the proposed algorithm.
