On Promising Regions and Optimization Effectiveness of Continuous and Deceptive Functions
This paper evaluates the performance of three evolutionary algorithms to globally optimize complex continuous functions. The performance is evaluated by measuring the algorithms success rate to find the global optimum in several trials. At each set of trials, the search-space is reduced to be closer to the global optimum, so that the starting population is
Vinícius Veloso de Melo is an Assistant Professor of Computer Science at