Dear Colleagues
The Analysing Algorithmic Behaviour of Optimisation Heuristics (AABOH) will be held at the upcoming Genetic and Evolutionary Computation Conference (GECCO'23) conference.
WEBPAGE: https://aaboh2023.nl/
This workshop calls for both theoretical and empirical achievements in identifying the desired features of optimisation and machine learning algorithms, quantifying the importance of such features, spotting the presence of intrinsic structural biases and other undesired algorithmic flaws, studying the transitions in algorithmic behaviour in terms of convergence, any-time behaviour, traditional and alternative performance measures, robustness, exploration vs exploitation balance, diversity, algorithmic complexity, etc., with the goal of gathering the most recent advances to fill the aforementioned knowledge gaps and disseminate the current state-of-the-art within the research community. Thus, we encourage submissions exploiting carefully designed experiments or data-heavy approaches that can come to help in analysing primary algorithmic behaviours and modelling internal dynamics causing them.
===== ORGANISING COMMITTEE =====
Anna V. Kononova - Leiden University, The Netherlands
Bas van Stein - Leiden University, The Netherlands
Fabio Caraffini - Swansea University, Swansea, UK
Daniela Zaharie - West University of Timisoara, Romania
Thomas Bäck - Leiden University, The Netherlands
===== KEY DATES=====
Submission opening: February 11, 2023
Submission deadline: April 17, 2023
Notification: April 25, 2023
Camera-ready: May 2, 2023
Presenter mandatory registration: May 2, 2023
===== KEY TOPICS =====
We encourage submissions addressing fundamental research lines on e.g. global search vs. local search, exploration vs. exploitation, time and space complexity, premature convergence and stagnation, structural bias, genotypic or phenotypic diversity, the robustness of the produced solution, secondary benchmarking, anytime performance. More info at https://aaboh2023.nl/
With Kind Regards,
AABOH 2023 Team
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