Richard Allmendinger

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	1180	891
h-index	19	17
i10-index	33	26

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Társszerzők

Joshua KnowlesSchlumberger | University of Birmingham | University of ManchesterE-mail megerősítve itt: slb.com
Manuel López-IbáñezProfessor of Optimisation, Alliance Manchester Business School, University of Manchester, UKE-mail megerősítve itt: manchester.ac.uk
Julia HandlProfessor in Decision Sciences, The University of ManchesterE-mail megerősítve itt: manchester.ac.uk
Jonathan FieldsendProfessor of Computational Intelligence, Department of Computer Science, University of ExeterE-mail megerősítve itt: exeter.ac.uk
Suzanne FaridProfessor in Biochemical Engineering, UCLE-mail megerősítve itt: ucl.ac.uk
Tinkle ChughLecturer (Assistant Professor) in Computer Science, University of ExeterE-mail megerősítve itt: exeter.ac.uk
Jussi HakanenLead AI Scientist, Silo AIE-mail megerősítve itt: silo.ai
Yaochu Jin, Chair Professor, MAE, Re...Department of Artificial Intelligence, Westlake University, ChinaE-mail megerősítve itt: westlake.edu.cn
Michael T.M. Emmerich (Dr. rer. nat.)Professor in Multiobjective OptimizationE-mail megerősítve itt: liacs.nl
Enrico RigoniHead of Numerical Methods Group, ESTECO SpaE-mail megerősítve itt: esteco.com
Chris RhodesLecturer in Digital Media Production, University College LondonE-mail megerősítve itt: ucl.ac.uk
Kalyanmoy DebUniversity Distinguished Professor, Electrical and Computer Engineering, Michigan State UniversityE-mail megerősítve itt: egr.msu.edu
Karthik SindhyaKONE corporationE-mail megerősítve itt: kone.com
Wolfgang KonenProfessor for Computer Science & Mathematics, Cologne University of Applied SciencesE-mail megerősítve itt: th-koeln.de
Folarin B OyeboluResearch Associate, MRC Biostatistics Unit, University of CambridgeE-mail megerősítve itt: mrc-bsu.cam.ac.uk
Cameron ShandFrancis Crick InstituteE-mail megerősítve itt: crick.ac.uk
Ben SmallPK/PD ScientistE-mail megerősítve itt: certara.com
David BroughUniversity of ManchesterE-mail megerősítve itt: manchester.ac.uk
Douglas KellUniversity of LiverpoolE-mail megerősítve itt: liv.ac.uk
Barry McCollUniversity of EdinburghE-mail megerősítve itt: ed.ac.uk

Követés

Richard Allmendinger

Professor of Applied AI, The University of Manchester, UK

E-mail megerősítve itt: manchester.ac.uk - Kezdőlap

Optimization Reinforcement Learning Biochemical Engineering Drug Manufacturing and Development


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
Surrogate‐assisted multicriteria optimization: Complexities, prospective solutions, and business case R Allmendinger, MTM Emmerich, J Hakanen, Y Jin, E Rigoni Journal of Multi‐Criteria Decision Analysis 24 (1-2), 5-24, 2017	99	2017
Efficient discovery of anti-inflammatory small-molecule combinations using evolutionary computing BG Small, BW McColl, R Allmendinger, J Pahle, G López-Castejón, ... Nature Chemical Biology 7 (12), 902-908, 2011	77	2011
Life‐cycle and cost of goods assessment of fed‐batch and perfusion‐based manufacturing processes for mAbs P Bunnak, R Allmendinger, SV Ramasamy, P Lettieri, ... Biotechnology progress 32 (5), 1324-1335, 2016	65	2016
Constraint handling in efficient global optimization S Bagheri, W Konen, R Allmendinger, J Branke, K Deb, J Fieldsend, ... Proceedings of the genetic and evolutionary computation conference, 673-680, 2017	60	2017
Multiobjective optimization: When objectives exhibit non-uniform latencies R Allmendinger, J Handl, J Knowles European Journal of Operational Research 243 (2), 497-513, 2015	55	2015
Safe learning and optimization techniques: Towards a survey of the state of the art Y Kim, R Allmendinger, M López-Ibáñez International Workshop on the Foundations of Trustworthy AI Integrating …, 2020	41	2020
Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times X Wang, Y Jin, S Schmitt, M Olhofer, R Allmendinger Knowledge-Based Systems 227, 107190, 2021	35	2021
Reference point-based particle swarm optimization using a steady-state approach R Allmendinger, X Li, J Branke Asia-Pacific Conference on Simulated Evolution and Learning, 200-209, 2008	35	2008
A feature rich distance-based many-objective visualisable test problem generator JE Fieldsend, T Chugh, R Allmendinger, K Miettinen Proceedings of the Genetic and Evolutionary Computation Conference, 541-549, 2019	34	2019
‘Hang on a minute’: Investigations on the effects of delayed objective functions in multiobjective optimization R Allmendinger, J Knowles International Conference on Evolutionary Multi-Criterion Optimization, 6-20, 2013	33	2013
Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies T Chugh, R Allmendinger, V Ojalehto, K Miettinen Proceedings of the genetic and evolutionary computation conference, 609-616, 2018	32	2018
Heterogeneous objectives: state-of-the-art and future research R Allmendinger, J Knowles Many-Criteria Optimization and Decision Analysis: State-of-the-Art, Present …, 2023	31	2023
Navigation in multiobjective optimization methods R Allmendinger, M Ehrgott, X Gandibleux, MJ Geiger, K Klamroth, ... Journal of Multi‐Criteria Decision Analysis 24 (1-2), 57-70, 2017	29	2017
Opportunities, Challenges and a Drug Testing Case Study L Kelly, S Sachan, L Ni, F Almaghrabi, R Allmendinger, YW Chen Digital Forensic Science, 159, 2020	28	2020
Generative adversarial networks for synthetic data generation: a comparative study C Little, M Elliot, R Allmendinger, SS Samani arXiv preprint arXiv:2112.01925, 2021	27	2021
Closed‐loop optimization of chromatography column sizing strategies in biopharmaceutical manufacture R Allmendinger, AS Simaria, R Turner, SS Farid Journal of Chemical Technology & Biotechnology 89 (10), 1481-1490, 2014	27	2014
What if we increase the number of objectives? Theoretical and empirical implications for many-objective combinatorial optimization R Allmendinger, A Jaszkiewicz, A Liefooghe, C Tammer Computers & Operations Research 145, 105857, 2022	24	2022
On handling ephemeral resource constraints in evolutionary search R Allmendinger, J Knowles Evolutionary computation 21 (3), 497-531, 2013	23	2013
A visualizable test problem generator for many-objective optimization JE Fieldsend, T Chugh, R Allmendinger, K Miettinen IEEE Transactions on Evolutionary Computation 26 (1), 1-11, 2021	22	2021
Federated learning for generating synthetic data: a scoping review C Little, M Elliot, R Allmendinger International Journal of Population Data Science 8 (1), 2158, 2023	19	2023

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