Bio-Inspired Algorithms for Prey Model Optimization(February 2022)

Abstract

Optimization means making the best use of anything or using resources effectively or achieving high quality under the constraints offered. Or at the lowest cost to achieve the optimum result. This research paper contains the algorithms all of which are inspired by the design of BAT algorithms, firefly algorithms and cuckoo algorithms. Also their improved version to optimize the various problems for example real life problems like the traveling salesman problem, manufacturing process optimization, power system stabilizer, engineering optimization etc. BAT algorithm is a type of algorithm which is on the echolocation behavior of bat and this algorithm is Meta heuristic in nature. The algorithms for the optimizations are highly inspired by the nature, behavior of the different animals, birds, wolves, fireflies, fishes etc. The old methods are actually not very efficient as they have some restrictions while these evolutionary algorithms are solving these problems and finding the optimum solution. Optimization problems are very challenging to solve either those are of single objective or of the multi objective. Also it is said that NP-hard is not possible to solve this it efficiently by any algorithm in an acceptable time period. As there were real world problems which are actually nonlinear. As these problem leads to the complexity, so to solve these types of problems is not an easy task done by any software.