I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. I ...

The project analyzes the N-Queens problem and defines the cost function, solution represntations as(Phenotype, Genotype) where the Genetic Algorithm is applied and ...

Abstract: Two kinds of parallel genetic algorithm (PGA) are implemented in this paper based on the MATLAB ® Parallel Computing Toolbox™ and Distributed Computing Server™ software. Parallel for-loops, ...

Genetic algorithms (GA) and machine learning (ML) have a long history of development and use in chemistry. Recent algorithmic and computational advances, however, have brought these methods to the ...

Solve optimization problems with the MCGA algorithm [1]. The present algorithm is desribed in [2]. uMCGA allows for optimization of problems where parameters need to be fit to multiple datasets. The ...

ABSTRACT: The use of power systems as close to their operating limits can cause instability if a disturbance is occurred. The damping of the system’s oscillations can be obtained by conventional means ...