Inspired by genetic programming (GP), we study iterative algorithms for non-computable tasks and compare them to naive models. This framework justifies many practical standard tri...
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 ...
We show how the understandability and speed of genetic programming classification algorithms can be improved, without affecting the classification accuracy. By analyzing the dec...
A technique for allocatzon and binding for data path synthesis (DPS) using a Genetic Algorithm (GA) approach has been developed. The proposed genetic algorithm uses a non-conventi...
Chittaranjan A. Mandal, P. P. Chakrabarti, Sujoy G...
— This contribution approaches the problem of scratch restoration in old movies as a optimisation’s problem. The functional based on the statistical properties of the image aro...