Exploring a robust and efficient optimization approach to solve complex real-world problems provides. The focus of this research is based on a hybrid method combining two heuristic optimization techniques, genetic algorithms (GA) and particle swarm optimization (PSO), the global optimization of several functions. Results of experimental studies using a set of 17 test functions taken from the literature lead GA-PSO hybrid approach over other search techniques in terms of solution quality and convergence rate four have shown.




File list:
ga-pso
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