Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Hierarchical menus are now ubiquitous. The performance of the menu depends on many factors: structure, layout, colors and so on. There has been extensive research on novel menus, ...
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
—In this research, the Genetic Algorithm (GA) and Space-Filling Curve (SFC) are combined along with the use of Taguchi method for finding the optimal combination of parameters. T...
We present a multi-objective optimization methodology for self-organizing, adaptive wireless sensor network design and energy management, taking into consideration application-spe...
Konstantinos P. Ferentinos, Theodore A. Tsiligirid...