报告题目：Biased random key genetic algorithms: A tutorial with applications

时间：2026年10月20日14:30-17:00

地点：主楼317

报告人： Celso C. Ribeiro

报告人国籍：巴西

报告人职称：教授

报告人工作单位：巴西弗鲁米嫩塞联邦大学

报告人简介：

Celso C. Ribeiro is a member of the Brazilian Academy of Sciences. His main research areas include Combinatorial Optimization, Algorithm Design, Metaheuristics, and Sports Scheduling. He is the Editor-in-Chief of the International Transactions in Operational Research (since 2007) and a member of the editorial board of journals such as Journal of Scheduling, Engineering Applications of Artificial Intelligence, and Discrete Optimization. He also served as Editor-in-Chief of the Journal of the Brazilian Computing Society (2014-2015). He was awarded the title of Doctor Honoris Causa by Universidad Nacional de San Agustín de Arequipa (Peru, 2010) and the Medal of the National Order of Scientific Merit (Brazil, 2018). He is a Fellow of the Institute for Operations Research and Management Sciences (INFORMS), the International Federation of Operational Research Societies (IFORS), the International Intelligence Sciences (AAIS), and the Brazilian Operational Research Society (SOBRAPO).

报告内容简介：

This tutorial overviews biased random-key genetic algorithms and their applications. They are characterized by their solution encoding and population evolution, with solutions represented by a vector of real numbers. Selection and crossover are biased to produce better than purely random offspring. We discuss the population evolution dynamics, design and implementation issues, and present a software framework. Extensions and improvements of the basic algorithm are discussed, followed by a review of applications.

（承办：管理科学与物流系、科研与学术交流中心）