for a SVR model is competent to the forecasting accuracy. Several evolutionary algorithms, such as genetic algorithms and … simulated annealing algorithms have been used to the parameters selection, however, these algorithms often suffer the problem of … being trapped in local optimum. This investigation used continuous ant colony optimization algorithms in a SVR model for …

Genetic Algorithms (GA) are metaheuristic techniques for combinatorial optimization problems. ABC and PSO are swarm … intelligence based approaches and they are nature-inspired optimization algorithms. In this study ABC and PSO supported GA … Turkey. ABC and PSO-based GA algorithms are applied to solve the travelling salesman problem and results are compared with …

performed utilizing a multi-objective evolutionary algorithm on a sample of S&P 100 constituents. Our optimization procedure …

yet in this context. The purpose of the study is two-fold: (1) to propose a novel algorithm to find an optimal channel set …, SPEA2, PEAIL) existing algorithms have been adapted and tested with 3 public databases: ‘BCI competition III-dataset II …’, ‘Center Speller’ and ‘RSVP Speller’. Dual-Front Sorting Algorithm (DFGA), a novel multi-objective discrete method especially …

-parallel and bridge systems is investigated. To solve the problem, a hybrid method based on Imperialism competitive algorithm and … genetics algorithm is used. The results of simulations demonstrate the superior performance of the proposed method in …

Online platforms, marketplaces and retailers typically use ranking algorithms to determine the order in which hundreds … or thousands of choices are presented to consumers. While ranking algorithms may aid consumer choice, there are concerns … of ranking algorithms on consumer choice and the degree to which researchers may obtain biased estimates of preferences …

genetic algorithm. This proposed system considers the raw material-wise holding cost and shortage cost to find the minimized … other familiar optimization algorithms such as particle swarm optimization and simulated annealing optimization techniques …