Monthly Archives: March 2021

CfP: Workshop on Evolutionary Algorithms for Problems with Uncertainty

The 4th Workshop on Evolutionary Algorithms for Problems with Uncertainty http://eapwu.ex.ac.uk/
To be held as part of The Genetic and Evolutionary Computation Conference (GECCO 2021)Lille, France, July 10-14 2021.
Please note that GECCO 2021 will be held as an online/virtual-only conference. All accepted papers will be required to be presented in the form of a pre-recorded talk.

Submission opening: February 11, 2021
Submission deadline: April 12, 2021
Reviews due: April 22, 2021Decisions due: April 26, 2021
Camera-ready Material: May 3, 2021
Author registration deadline: May 3, 2021

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Tuning algorithms for black-box optimization: State of the art and future perspectives will be available in May 2021

The publication “Tuning algorithms for black-box optimization: State of the art and future perspectives” by Thomas Bartz-Beielstein, Frederik Rehbach, and Margarita Rebolledo will be published as a contribution to the book Black Box Optimization, Machine Learning and No- Free Lunch Theorems. The book is edited by Panos Pardalos, Varvara Rasskazova, and Michael Vrahatis and will be number 170 in Springer Optimization and Its Applications series, see https://www.springer.com/de/book/9783030665142

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GECCO 2021: COMPETITION ON OPTIMIZATION OF A SIMULATION MODEL FOR A CAPACITY AND RESOURCE PLANNING TASK FOR HOSPITALS UNDER SPECIAL CONSIDERATION OF THE COVID-19 PANDEMIC

Simulation models are valuable tools for resource usage estimation and capacity planning. The simulator, BaBSim.Hospital, explicitly covers difficulties for hospitals caused by the COVID-19 pandemic. The simulator can handle many aspects of resource planning in hospitals, such as ICU beds, ventilators or personal, while taking into consideration several cohorts as age or current health status. 
The task represents an instance of an expensive, high-dimensional computer simulation-based optimization problem. The simulations will be executed through an interface and hosted on one of our servers (similar to our last year’s challenge).

Your goal is to find an optimal parameter configuration for the BaBSim.Hospital simulator with a very limited budget of objective function evaluations. The participants will be free to apply one or multiple optimization algorithms of their choice.

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DigitalXChange 2021: Call for Papers

Bildnachweis: TH Köln Campus Gummersbach – Sebastian Hopp

Wir erwarten wieder rund 1000 Anmeldungen zur Konferenz Digital Xchange Bergisches RheinLand am Samstag, dem 02. Oktober 2021. Egal ob Studierende, Lehrende, Politiker*innen, Unternehmer*innen, Mitglieder von Verwaltungen und Verbänden oder interessierte Bürger*innen: Sie können diese Digital-Konferenz aktiv mitgestalten!
Der Call for Papers läuft – bitte reichen Sie Ihren Beitrag bis zum 31. März 2021 ein!

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GECCO 2021 Competition on Dynamic Stacking Optimization in Uncertain Environments

Hotstorage. In this track a dynamic environment is provided that represents a simplified, but realistic stacking scenario. It is characterized by three types of stacks called ArrivalBuffer, and Handover as well as a Crane which relocates Blocks between the stacks. Image taken from https://dynstack.adaptop.at

In this competition we give you a server where you can delve into two challenging and mysterious worlds of blocks and stacks. The hero in these worlds are robotic cranes that are fearlessly stacking and delivering blocks. Did you ever wish to take control of such a robot solving a herculean task? Well, now is your chance! Our cranes want to do a good job and therefore rely on YOUR optimization skills! They wait for you to tell it which blocks to pick up and where to drop them off so that the continuing stream of incoming blocks is dealt with most effortlessly. Competition webpage: https://dynstack.adaptop.at

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“Sequential Parameter Optimization for Mixed-Discrete Problems” Published in the Book “Optimization Under Uncertainty with Applications to Aerospace Engineering”

The book Optimization Under Uncertainty with Applications to Aerospace Engineering has recently been published in electronic and print format. It includes our contribution Sequential Parameter Optimization for Mixed-Discrete Problems (Lorenzo Gentile, Thomas Bartz-Beielstein, and Martin Zaefferer).

GECCO 2021 Call for Papers: HOP, Student Workshop, LBA

The Hot Off the Press (HOP) track invites researchers to submit summaries of 
their own works that were recently published in top-tier conferences and 
journals. Contributions are selected based on their scientific quality and their 
relevance to the GECCO community. All details can be found at 
https://gecco-2021.sigevo.org/Call-for-HOPs

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