Authors: Thomas Bartz-Beielstein, Frederik Rehbach, Amrita Sen, and Martin ZaeffererCategories: cs.LGMSC-class: 68T07ACM-class: A.1; B.8.0; G.1.6; G.4; I.2.8 A surrogate model … More
Category: Benchmarking
Chat record from “Benchmarking and experimentation: pitfalls and best practices” at CEC 2021
Really enjoyed the tutorial today – unfortunately, time was limited (and too short). Further materials (slides) will be available soon. … More
Special Issue in IEEE Transactions on Evolutionary Computation: Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software (BENCH)
Benchmarking plays an important role in the study of evolutionary computation methods and other optimization algorithms. Among other benefits, benchmarking … More
Day 1 of the 2021 IEEE Congress on Evolutionary Computation
Our (Mike, Boris, and Thomas) tutorial Benchmarking and Experimentation: Pitfalls and Best Practices starts at 2:15 p.m. today. Here is … More
CEC-2021 Tutorial: Benchmarking and Experimentation
Benchmarking@CEC-2021 Tutorial “Benchmarking and Experimentation: Pitfalls and Best Practices” Time: Monday, June 28th, 2021 2:15 PM CEST Presenters: Thomas Bartz-Beielstein, … More
COSEAL Workshop 2021
The eighth COnfiguration and SElection of ALgorithms (COSEAL) Workshop is a forum for discussing the most recent advances in the … More
MATE: A Model-based Algorithm Tuning Engine – Paper Available
Authors. Mohamed El Yafrani, Marcella Scoczynski, Inkyung Sung, Markus Wagner, Carola Doerr, Peter Nielsen Abstract. In this paper, we introduce a … More
IEEE Transactions on Evolutionary Computation Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software (BENCH)
The submission deadline has been extended to August 31, 2021.
GECCO Challenge 2021 is Online
The GECCO Industrial Challenge is a yearly competition for CI researchers and practitioners taking place at the GECCO. It poses … More
Free Preprint: “Expected Improvement versus Predicted Value in Surrogate-Based #Optimization” Available on Cologne Open Science
The publication “Expected Improvement versus Predicted Value in Surrogate-Based Optimization”, written by Frederik Rehbach, Martin Zaefferer, Boris Naujoks, and Thomas … More