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 …

-of-the-art multi-objective evolutionary algorithms and demonstrate the effectiveness of our proposed algorithm. … algorithm. Moreover, to preserve desirable population diversity and improve the searching efficiency, we propose different … problem-specific evolutionary strategies. Finally, we test the performance of our proposed memetic algorithm with other state …

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