A Comparative Study Between Bird Swarm Algorithm and Artificial Gorilla Troops Optimizer

An Interval Type-2 Fuzzy Logic Approach for Dynamic Parameter Adaptation in a Whale Optimization Algorithm Applied to Mathematical Functions

“…An interval type-2 fuzzy set ∼ A, denoted by µ∼ A (x) and µ∼ A (x), is represented by the lower and upper membership functions of µ A ∨ (x), where x ∈ X. In this case, Equation (8) shows the definition of an IT2FS [60]:…”

“…In this paper, a popular and efficient benchmark set of mathematical functions is used, which has been utilized by many authors to analyze and verify their proposed methods. For example, in [1], a tuna search optimization is demonstrated to have excellent results as presented by Xie et al In [2], an algorithm based on the bird behavior is presented by Meng et al In [3,4], a mantis search algorithm and exponential distribution optimizer are studied by Abdel-Basset et al Additionally, in [5], a coronavirus mask protection algorithm is implemented with this problem yielding good results by Yuan et al In [6,7], an osprey optimization algorithm and green anaconda optimization are presented by Dehghani et al Moreover,in [8], a comparative study with the bird swarm algorithm and artificial gorilla troops optimizer is outlined with both methods showing excellent results in mathematical functions, as presented by Miramontes et al Apart from these, several more studies have been conducted.…”