Evolutionary Multitask Optimization
[Wikipedia]Introduction
Evolutionary Multitask Optimization is a paradigm proposed by [1] in the optimization literature that focuses on solving multiple self-contained tasks at the same time. Inspired by the well-established
concepts of transfer learning and multi-task learning in predictive analytics, the key motivation behind multitask optimization is that if optimization tasks are related to each other (in terms of their optimal solutions,
or the general characteristics of their function landscapes), then the search progress on one can be transferred to substantially speedup the search on the other. Notably, the success of the paradigm is not necessarily
limited to one-way knowledge transfers from simpler to more complex tasks. In fact, in an attempt to intentionally solve a harder task, several simpler ones may often be unintentionally solved.
[1].A. Gupta, Y. Ong and L. Feng, "Multifactorial Evolution: Toward Evolutionary Multitasking," in IEEE Transactions on Evolutionary Computation, vol. 20, no. 3, pp. 343-357, June 2016, doi: 10.1109/TEVC.2015.2458037.
News
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02/09/2022
CEC2022 Competition on Evolutionary Multi-task Optimization , IEEE World Congress on Computational Intelligence 2022.18-23 July 2022, Padova, Italy. -
01/19/2021
CEC2021 Competition on Evolutionary Multi-task Optimization , IEEE Congress on Evolutionary Computation 28.06-1.07.2021 Kraków, Poland. -
01/19/2021
CEC'2021 Competition on Evolutionary Transfer Multiobjective Optimization , IEEE Congress on Evolutionary Computation 28.06-1.07.2021 Kraków, Poland. -
01/08/2020
GECCO 2020 Competition on Evolutionary Multi-task Optimization , The Genetic and Evolutionary Computation Conference 2020, 8-12 JULY 2020, CANCUN, MEXICO. -
01/08/2020
WCCI 2020 Competition on Evolutionary Multi-task Optimization , IEEE World Congress on Computational Intelligence 2020, 19-24 JULY 2020, GLASGOW, UK. -
01/05/2019
CEC 2019 Competition on Evolutionary Multi-task Optimization ,IEEE Congress on Evolutionary Computation, 10-13 JUNE 2019, WELLINGTON, NEW ZEALAND.. -
15/06/2018
CEC 2018 Competition on Evolutionary Multi-task Optimization,IEEE World Congress on Computational Intelligence, 2018 July 8-13, Rio de Janeiro, Brazil -
07/06/2017
CEC 2017 Competition on Evolutionary Multi-task Optimization,IEEE Congress on Evolutionary Computation, 2017 June 5-8, Donostia - San Sebastian, Spain -
27/05/2015
Dr. Ong and Dr. Gupta gave a tutorial on "Evolutionary Multitasking and Implications for Cloud Computing" in Sendai, Japan. The slides can be downloaded here. -
04/02/2016
Dr. Ong gave a Keynote at Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2016), Canberra, Australia, 2-5 February 2016 "Multifactorial Optimization: Towards Evolutionary Multitasking" in Canberra, Australia. The slides can be downloaded here.
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