4 papers
Study of the Fractal decomposition based metaheuristic on low-dimensional Black-Box optimization problems
Arcadi Llanza, Nadiya Shvai, Amir Nakib
This paper analyzes the performance of the Fractal Decomposition Algorithm (FDA) metaheuristic applied to low-dimensional continuous optimization problems. This algorithm was origi…
Dynamic camera alignment optimization problem based on Fractal Decomposition based Algorithm
Arcadi Llanza, Nadiya Shvai, Amir Nakib
In this work, we tackle the Dynamic Optimization Problem (DOP) of IA in a real-world application using a Dynamic Optimization Algorithm (DOA) called Fractal Decomposition Algorithm…
Graph based adaptive evolutionary algorithm for continuous optimization
Asmaa Ghoumari, Amir Nakib
he greatest weakness of evolutionary algorithms, widely used today, is the premature convergence due to the loss of population diversity over generations. To overcome this problem,…
Multi-node environment strategy for Parallel Deterministic Multi-Objective Fractal Decomposition
Leo Souquet, Amir Nakib
This paper presents a new implementation of deterministic multiobjective (MO) optimization called Multiobjective Fractal Decomposition Algorithm (Mo-FDA). The original algorithm wa…