A quantum inspired gravitational search algorithm for numerical function optimization

Quantum Genetic Algorithm Based on Qutrits and Its Application

“…For example, some algorithms based on the quantum computation ideas are presented in [13]. The studies of the quantum algorithms and the possibilities of their modification and improvement are carried out in [14,15]. Other potential approaches also include the option of the transition to qutrits representation of the population and can be considered as directions for further research.…”

A data clustering approach based on universal gravity rule

“…Various applications of the gravity theory in solving problems of different areas have been considered including image edge detection (Sun et al, 2007;Deregeh and Nezamabadi-pour, 2014), data classification (Shafigh et al, 2013;Rezaei and Nezamabadipour, 2015), optimization (Soleimanpour-Moghadam et al, 2014), and data clustering (Sanchez et al, 2014;Wright, 1977;Yung and Lai, 1998). Gravity-based clustering algorithms simulate the process of the attraction and merging of objects by their gravity forces.…”

Enhancing Backtracking Search Algorithm using Reflection Mutation Strategy Based on Sine Cosine

“…Therefore, many scholars have begun developing new methods to effectively solve the optimization problems. Evolutionary algorithms (EA), which are a kind of population-based global optimization algorithm, have been widely used to solve such problems, like function optimization [1][2][3], combinatorial optimization [4], neural network training [5,6], and image processing [7]. At present, many EAs have been proposed, like Genetic Algorithm (GA) [8], Particle Swarm Optimization (PSO) [9], Differential Evolution (DE) [10], Artificial Bee Colony algorithm (ABC) [1], Grey Wolf Optimizer (GWO) [11], Whale Optimization Algorithm (WOA) [12] and Cultural Algorithms [13].…”