Originally, genetic algorithms were developed based on the binary representation of candidate solutions in which each conjectured solution is a fixed-length string of binary numb...
In this paper, we review parallel search techniques for approximating the global optimal solution of combinatorial optimization problems. Recent developments on parallel implementa...
Panos M. Pardalos, Leonidas S. Pitsoulis, Thelma D...
—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...
This poster paper investigates the potential of single and multiobjective genetic operators with an object-oriented conceptual design space. Using cohesion as an objective fitness...
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 ...