GSO: A New Solution for Solving Unconstrained Optimization Tasks Using Garter Snake's Behavior

Discrete equilibrium optimizer combined with simulated annealing for feature selection

“…Apart from the aforementioned algorithms, many more meta-heuristic algorithms have been formulated getting inspired from various natural phenomena. Bat Algorithm Gupta et al (2020), Tree Growth Algorithm (TGA) Cheraghalipour et al (2018), Garter Snake Optimization (GSO) Naghdiani & Jahanshahi (2017), AntStar Faisal et al (2016 This has motivated us to modify EO and make it applicable to solve FS problems. In this paper, we have mapped EO to the binary space of FS using a U-shaped transfer function and hybridized it by utilizing the exploitative capabilities of SA.…”

Future Prospective of Soft Computing Techniques in Psychiatric Disorder Diagnosis

“…The use of a hybrid approach integrating different soft computing techniques needs to be further explored for diagnosis of the aforementioned psychiatric disorders. There is a potential scope to use and explore the effectiveness of different emerging nature-inspired computing techniques like Grey Wolf Optimizer [27], Crow Search Algorithm [28], Harris Hawks Optimizer [29], Artificial Feeding Birds [30], Ant Lion Optimizer [31], Gartener Snake Optimization [32], Spotted Hyena Optimizer [33], Elephant Herding Optimization [34], Emperor Penguins Colony [35], Whale Optimization Algorithm [36] in diagnosis of different human psychological disorders. These techniques and their hybrid approaches can be employed to select optimal data set features to get a better data classification rate.…”

A Garter Snake Optimization Algorithm for Constrained Optimization

“…However, snakes have recently garnered attention from scientists and researchers, particularly in the field of robotics (Manzoor, Cho, & Choi, 2019;Ouyang et al, 2019;Rollinson & Choset, 2016). In 2017, an author proposed a new algorithm, inspired by a specific type of snake, known as Garter Snake Optimization (GSO), for unconstrained optimization tasks (Naghdiani & Jahanshahi, 2017a). In this paper, a Garter Snake Optimization algorithm will be introduced for constrained optimization problems.…”

“…In this paper, a Garter Snake Optimization algorithm will be introduced for constrained optimization problems. The algorithm is based on the mating behavior of garter snakes and incorporates the natural behavior of a colony of snakes where individuals interact through a competition mechanism (Naghdiani & Jahanshahi, 2017b). The algorithm includes three types of search agents: male, female, and she-male snakes, each exhibiting different behaviors using a set of evolutionary operators.…”