The Comprehensive Review for Biobased FPA Algorithm
Meenakshi Rana · 2021
In the era of technology and advancement, a human always tries to sophisticate the lives of humans and nature is a rich source of inspiration, which give fantastic ideas to researchers to solve many problems of daily life. A few years back we never touched on the idea of how to implement the idea of using the class of nature of bats or ants, genes that can be used to develop optimization algorithms. Nature always helps mankind with the solutions. For a long time, researchers working on optimization techniques which are inherited by nature and can be utilized as optimization tools for many engineering problems. A flower pollination algorithm (FPA) which is based on characteristics of flowering plants caught the attention of researchers for optimization problems. FPA is a computational metaheuristic approach that takes its metaphor from flowering plants. A problem of optimization is approached through Evolutionary Computation Techniques (ECTs). The basic idea behind this approach is randomness and some deterministic rules which are developed to mimic the behavior of natural entities. The difficulty to search the existence of several global and local optima is tackled finely through ECT approach. This works well for locating single optimum but fail to provide multiple solutions. FPA is characterized by a small number of parameters which make it promising in solving optimization problems and multi-objective complex ones also [1]. It is embedded with mechanism of local and global exploration feature which is complementary and helps the algorithm to work efficiently.