Cutting-edge news related to simulation, optimization, artificial intelligence, and machine learning
Competition website:https://www.th-koeln.de/informatik-und-ingenieurwissenschaften/gecco-2021-industrial-challenge-call-for-participation_82086.php Highlights of the GECCO 2021 Industrial Challenge include: Interesting Problem Domain: The impact of COVID-19 on the health … More
The publication “Tuning algorithms for black-box optimization: State of the art and future perspectives” by Thomas Bartz-Beielstein, Frederik Rehbach, and … More
The book Optimization Under Uncertainty with Applications to Aerospace Engineering has recently been published in electronic and print format. It includes our contribution … More
The GECCO Industrial Challenge is a yearly competition for CI researchers and practitioners taking place at the GECCO. It poses … More
The publication “Expected Improvement versus Predicted Value in Surrogate-Based Optimization”, written by Frederik Rehbach, Martin Zaefferer, Boris Naujoks, and Thomas … More
The most recent version of the article “Benchmarking in Optimization: Best Practice and Open Issues”, which was written by Thomas Bartz-Beielstein, … More
This survey compiles ideas and recommendations from more than a dozenresearchers with different backgrounds and from different institutes around theworld. … More
