Richard Allmendinger

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Joshua KnowlesSchlumberger Cambridge Research | University of Birmingham | University of ManchesterE-mail megerősítve itt: slb.com
Suzanne FaridProfessor in Biochemical Engineering, UCLE-mail megerősítve itt: ucl.ac.uk
Julia HandlProfessor in Decision Sciences & Alan Turing Fellow, The University of ManchesterE-mail megerősítve itt: manchester.ac.uk
Juergen BrankeProfessor of Operational Research and Systems, Warwick Business SchoolE-mail megerősítve itt: wbs.ac.uk
Jonathan FieldsendProfessor of Computational Intelligence, University of ExeterE-mail megerősítve itt: exeter.ac.uk
Jussi HakanenSenior researcher, University of JyväskyläE-mail megerősítve itt: jyu.fi
Kaisa MiettinenUniversity of JyvaskylaE-mail megerősítve itt: jyu.fi
Manuel López-IbáñezUniversity of Málaga, Spain /// Alliance Manchester Business School, University of Manchester, UKE-mail megerősítve itt: uma.es
Yaochu JinA. v. Humboldt Professor for AI, Bielefeld University and Distinguished Chair, University of SurreyE-mail megerősítve itt: uni-bielefeld.de
Michael EmmerichAssociate Professor, LIACS, Leiden University & Lead AI Scientist at SILO.AIE-mail megerősítve itt: liacs.nl
Tinkle ChughLecturer (Assistant Professor) in Computer Science, University of ExeterE-mail megerősítve itt: exeter.ac.uk
Enrico RigoniHead of Numerical Methods Group, ESTECO SpaE-mail megerősítve itt: esteco.com
Kalyanmoy DebKoenig Endowed Chair Professor, Electrical and Computer Engineering, Michigan State UniversityE-mail megerősítve itt: egr.msu.edu
Karthik SindhyaSolita OyE-mail megerősítve itt: solita.fi
Wolfgang KonenProfessor for Computer Science & Mathematics, Cologne University of Applied SciencesE-mail megerősítve itt: th-koeln.de
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
Pedro MendesUniversity of ConnecticutE-mail megerősítve itt: uchc.edu

Követés

Richard Allmendinger

Professor at The University of Manchester, UK, Fellow of the Alan Turing Institute

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
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	74	2011
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	69	2017
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	41	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	36	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	32	2015
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	31	2008
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	24	2014
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	20	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	20	2013
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	18	2017
Multiobjective evolutionary optimization in antibody purification process design R Allmendinger, AS Simaria, SS Farid Biochemical engineering journal 91, 250-264, 2014	18	2014
On handling ephemeral resource constraints in evolutionary search R Allmendinger, J Knowles Evolutionary computation 21 (3), 497-531, 2013	16	2013
Tuning evolutionary search for closed-loop optimization R Allmendinger PQDT-UK & Ireland, 2012	16	2012
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	15	2018
Dynamic scheduling of multi-product continuous biopharmaceutical facilities: A hyper-heuristic framework FB Oyebolu, R Allmendinger, SS Farid, J Branke Computers & Chemical Engineering 125, 71-88, 2019	13	2019
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	11	2021
Efficient discovery of chromatography equipment sizing strategies for antibody purification processes using evolutionary computing R Allmendinger, AS Simaria, SS Farid International Conference on Parallel Problem Solving from Nature, 468-477, 2012	11	2012
Evolutionary optimization on problems subject to changes of variables R Allmendinger, J Knowles International Conference on Parallel Problem Solving from Nature, 151-160, 2010	11	2010
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	9	2020
Evolving controllably difficult datasets for clustering C Shand, R Allmendinger, J Handl, A Webb, J Keane Proceedings of the Genetic and Evolutionary Computation Conference, 463-471, 2019	9	2019

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