id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
bracis-33623	Alonso, Edsson Israel Andonaegui; Delgado, Karina Valdivia; Santos, Francisco Carlos B. dos	Combining Clustering and Genetic Algorithms for Portfolio Optimization: A Case Study with B3 Companies	2024		.htm	text/html	6068	263	52	Then the algorithm selects one asset per cluster of companies with the aim of diversifying the portfolio and reducing the correlation between assets, thus reducing the risk. This optimization problem can be modeled as a multi-objective problem (maximizing return and minimizing risk) with constraints to make it more realistic, such as cardinality constraints (limiting the maximum amount of assets that can make up the portfolio), penalty systems and transaction costs [3, 7].	cache/bracis-33623.htm	txt/bracis-33623.txt