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 ...

Death has long been overlooked in evolutionary algorithms. Recent research has shown that death (when applied properly) can benefit the overall fitness of a population and can outperform sub-sections ...

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 ...

We live in the Age of the Algorithm, where computer models save time, money and lives. Gone are the days when labyrinthine formulae were the exclusive domain of finance and the sciences - nonprofit ...

Abstract: This paper introduces the theory of genetic algorithm. The specific operation flow of genetic algorithm is described. The application of genetic algorithm in function optimization has been ...