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ORCIDRichard Allmendinger 0001
Person information
- affiliation (PhD 2011): University of Manchester, Alliance Manchester Business School, UK
- affiliation (2011-2015): University College London, Biochemical Engineering Department, UK
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2020 – today
- 2024
[j14]Seyed Mahdi Shavarani
, Manuel López-Ibáñez, Richard Allmendinger:
Detecting Hidden and Irrelevant Objectives in Interactive Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(2): 544-557 (2024)- 2023
- [j13]Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent:
SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound. Genet. Program. Evolvable Mach. 24(1): 3 (2023) - [c42]Chris Rhodes, Richard Allmendinger, Caroline Jay, Ricardo Climent:
Towards Developing a Virtual Guitar Instructor through Biometrics Informed Human-Computer Interaction. CHI Extended Abstracts 2023: 425:1-425:8 - [c41]Arnaud Liefooghe, Sébastien Vérel, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen:
Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective. EMO 2023: 260-273 - [c40]Seyed Mahdi Shavarani, Manuel López-Ibáñez, Richard Allmendinger, Joshua D. Knowles:
An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm. EMO 2023: 620-634 - [c39]Andreea Avramescu, Manuel López-Ibáñez, Richard Allmendinger:
Interactive Stage-Wise Optimisation of Personalised Medicine Supply Chains. EvoApplications@EvoStar 2023: 718-733 - [c38]Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent:
SonOpt: Understanding the behaviour of bi-objective population-based optimisation algorithms through sound. GECCO Companion 2023: 13-14 - [c37]Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Arnaud Liefooghe, Matthieu Parizy:
Applying Ising Machines to Multi-objective QUBOs. GECCO Companion 2023: 2166-2174 - [c36]Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova:
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. GECCO Companion 2023: 2346-2353 - [c35]Wenlei Bai, Wen Zhang, Fanlin Meng, Richard Allmendinger, Kwang Y. Lee:
Optimal Allocation of PV Systems on Unbalanced Networks Using Evolutionary Algorithms. SSCI 2023: 795-800 - [i19]Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Arnaud Liefooghe, Matthieu Parizy:
Applying Ising Machines to Multi-objective QUBOs. CoRR abs/2305.11648 (2023) - [i18]Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova:
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. CoRR abs/2305.15102 (2023) - [i17]Danny Wood, Theodore Papamarkou, Matt Benatan, Richard Allmendinger:
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach. CoRR abs/2310.12842 (2023) - [i16]Richard Allmendinger, Carlos M. Fonseca, Serpil Sayin, Margaret M. Wiecek, Michael Stiglmayr:
Multiobjective Optimization on a Budget (Dagstuhl Seminar 23361). Dagstuhl Reports 13(9): 1-68 (2023) - 2022
- [j12]Gonzalo A. Ruz, Daniel A. Ashlock, Richard Allmendinger, Gary B. Fogel:
Editorial: 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2020). Biosyst. 218: 104698 (2022) - [j11]Richard Allmendinger, Andrzej Jaszkiewicz, Arnaud Liefooghe, Christiane Tammer:
What if we increase the number of objectives? Theoretical and empirical implications for many-objective combinatorial optimization. Comput. Oper. Res. 145: 105857 (2022) - [j10]Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen:
A Visualizable Test Problem Generator for Many-Objective Optimization. IEEE Trans. Evol. Comput. 26(1): 1-11 (2022) - [j9]Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane:
HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis. IEEE Trans. Evol. Comput. 26(6): 1206-1220 (2022) - [c34]Andreea Avramescu, Richard Allmendinger, Manuel López-Ibáñez, Adriana G. Lopes:
Composite Facility Location Problems: A Case Study of Personalised Medicine. CIBCB 2022: 1-8 - [c33]Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent:
SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms. EvoMUSART 2022: 3-18 - [c32]Chris Rhodes, Richard Allmendinger, Ricardo Climent:
Classifying Biometric Data for Musical Interaction Within Virtual Reality. EvoMUSART 2022: 385-400 - [c31]Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Matthieu Parizy:
Multi-objective QUBO solver: bi-objective quadratic assignment problem. GECCO 2022: 467-475 - [c30]Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez:
Are evolutionary algorithms safe optimizers? GECCO 2022: 814-822 - [c29]Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles:
Expensive optimization with production-graph resource constraints: a first look at a new problem class. GECCO 2022: 840-848 - [c28]Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen:
Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature. PPSN (1) 2022: 90-103 - [c27]Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda:
Cooperative Multi-agent Search on Endogenously-Changing Fitness Landscapes. PPSN (1) 2022: 265-278 - [c26]Claire Little, Mark J. Elliot, Richard Allmendinger:
Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata. PSD 2022: 234-249 - [i15]Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent:
SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms. CoRR abs/2202.12187 (2022) - [i14]Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez:
Are Evolutionary Algorithms Safe Optimizers? CoRR abs/2203.12622 (2022) - [i13]Samantha Petersone, Alwin Tan, Richard Allmendinger, Sujit Roy, James Hales:
A Data-Driven Framework for Identifying Investment Opportunities in Private Equity. CoRR abs/2204.01852 (2022) - [i12]Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Matthieu Parizy:
Multi-objective QUBO Solver: Bi-objective Quadratic Assignment. CoRR abs/2205.13399 (2022) - [i11]Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen:
Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature. CoRR abs/2206.07834 (2022) - [i10]Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda:
Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes. CoRR abs/2206.13844 (2022) - [i9]Eyyub Can Odacioglu, Lihong Zhang, Richard Allmendinger:
Combining Topic Modeling with Grounded Theory: Case Studies of Project Collaboration. CoRR abs/2207.02212 (2022) - [i8]Claire Little, Mark J. Elliot, Richard Allmendinger:
Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata. CoRR abs/2207.03339 (2022) - [i7]Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Matthieu Parizy:
A Study of Scalarisation Techniques for Multi-Objective QUBO Solving. CoRR abs/2210.11321 (2022) - 2021
- [j8]Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer, Richard Allmendinger:
Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times. Knowl. Based Syst. 227: 107190 (2021) - [c25]Andrew Iskandar, Richard Allmendinger:
Multi-objective Workforce Allocation in Construction Projects. EvoApplications 2021: 50-64 - [c24]Andreea Avramescu, Richard Allmendinger, Manuel López-Ibáñez:
A Multi-objective Multi-type Facility Location Problem for the Delivery of Personalised Medicine. EvoApplications 2021: 388-403 - [c23]Laurynas Raudonius, Richard Allmendinger:
Evaluating Football Player Actions During Counterattacks. IDEAL 2021: 367-377 - [e3]Hujun Yin, David Camacho, Peter Tiño, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, Susana Nascimento:
Intelligent Data Engineering and Automated Learning - IDEAL 2021 - 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings. Lecture Notes in Computer Science 13113, Springer 2021, ISBN 978-3-030-91607-7 [contents] - [i6]Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez:
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art. CoRR abs/2101.09505 (2021) - [i5]Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane:
HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis. CoRR abs/2102.06940 (2021) - [i4]Richard Allmendinger, Joshua D. Knowles:
Heterogeneous Objectives: State-of-the-Art and Future Research. CoRR abs/2103.15546 (2021) - [i3]Richard Allmendinger, Andrzej Jaszkiewicz, Arnaud Liefooghe, Christiane Tammer:
What if we Increase the Number of Objectives? Theoretical and Empirical Implications for Many-objective Optimization. CoRR abs/2106.03275 (2021) - [i2]Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Kenneth W. Dunn:
Towards a fairer reimbursement system for burn patients using cost-sensitive classification. CoRR abs/2107.00531 (2021) - [i1]Claire Little, Mark J. Elliot, Richard Allmendinger, Sahel Shariati Samani:
Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study. CoRR abs/2112.01925 (2021) - 2020
- [j7]Chris Rhodes, Richard Allmendinger, Ricardo Climent:
New Interfaces and Approaches to Machine Learning When Classifying Gestures within Music. Entropy 22(12): 1384 (2020) - [c22]Mayowa Ayodele, Richard Allmendinger, K. Nadia Papamichail:
Heuristic Search in LegalTech: Dynamic Allocation of Legal Cases to Legal Staff. LOD (2) 2020: 326-338 - [c21]Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez:
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art. TAILOR 2020: 123-139
2010 – 2019
- 2019
- [j6]Folarin B. Oyebolu, Richard Allmendinger, Suzanne S. Farid, Jürgen Branke:
Dynamic scheduling of multi-product continuous biopharmaceutical facilities: A hyper-heuristic framework. Comput. Chem. Eng. 125: 71-88 (2019) - [c20]Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane:
Evolving controllably difficult datasets for clustering. GECCO 2019: 463-471 - [c19]Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen:
A feature rich distance-based many-objective visualisable test problem generator. GECCO 2019: 541-549 - [c18]Chris Rhodes, Richard Allmendinger, Ricardo Climent:
New Interfaces for Classifying Performance Gestures in Music. IDEAL (2) 2019: 31-42 - [c17]Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Paraskevas Yiapanis, Kenneth W. Dunn:
A Clustering-Based Patient Grouper for Burn Care. IDEAL (2) 2019: 123-131 - [e2]Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger:
Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11871, Springer 2019, ISBN 978-3-030-33606-6 [contents] - [e1]Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger:
Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11872, Springer 2019, ISBN 978-3-030-33616-5 [contents] - 2018
- [j5]Richard Allmendinger:
Conference Report on 2017 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2017) [Conference Reports]. IEEE Comput. Intell. Mag. 13(1): 23-24 (2018) - [j4]Richard Allmendinger, Daniel A. Ashlock, Sansanee Auephanwiriyakul:
Computational Intelligence Techniques in Bioinformatics and Bioengineering [Guest Editorial]. IEEE Comput. Intell. Mag. 13(3): 10-11 (2018) - [c16]Cameron Shand, Richard Allmendinger, Julia Handl, John Keane:
Towards an adaptive encoding for evolutionary data clustering. GECCO 2018: 521-528 - [c15]Tinkle Chugh, Richard Allmendinger, Vesa Ojalehto, Kaisa Miettinen:
Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies. GECCO 2018: 609-616 - 2017
- [j3]Folarin B. Oyebolu, Jeroen van Lidth de Jeude, Cyrus Siganporia, Suzanne S. Farid, Richard Allmendinger, Jürgen Branke:
A new lot sizing and scheduling heuristic for multi-site biopharmaceutical production. J. Heuristics 23(4): 231-256 (2017) - [c14]Reza Salehnejad, Richard Allmendinger, Yu-Wang Chen, Manhal Ali, Azar Shahgholian, Paraskevas Yiapanis, Mohaimen Mansur:
Leveraging data mining techniques to understand drivers of obesity. CIBCB 2017: 1-9 - [c13]Samineh Bagheri, Wolfgang Konen, Richard Allmendinger, Jürgen Branke, Kalyanmoy Deb, Jonathan E. Fieldsend, Domenico Quagliarella, Karthik Sindhya:
Constraint handling in efficient global optimization. GECCO 2017: 673-680 - [c12]Ofer M. Shir, Thomas Bäck, Joshua D. Knowles, Richard Allmendinger:
Sequential experimentation by evolutionary algorithms. GECCO (Companion) 2017: 828-851 - [c11]Silviu Tofan, Richard Allmendinger, Manuela Zanda, Olly Stephens:
Heuristic allocation of computational resources. GECCO 2017: 1256-1263 - 2015
- [j2]Richard Allmendinger, Julia Handl, Joshua D. Knowles:
Multiobjective optimization: When objectives exhibit non-uniform latencies. Eur. J. Oper. Res. 243(2): 497-513 (2015) - 2014
- [c10]Richard Allmendinger, Suzanne S. Farid:
A Multiobjective Evolutionary Optimization Framework for Protein Purification Process Design. PPSN 2014: 498-507 - [c9]Richard Allmendinger, Spyridon Gerontas, Nigel John Titchener-Hooker, Suzanne S. Farid:
Tuning Evolutionary Multiobjective Optimization for Closed-Loop Estimation of Chromatographic Operating Conditions. PPSN 2014: 741-750 - 2013
- [j1]Richard Allmendinger, Joshua D. Knowles:
On Handling Ephemeral Resource Constraints in Evolutionary Search. Evol. Comput. 21(3): 497-531 (2013) - [c8]Arjun Chandra, Richard Allmendinger, Peter R. Lewis, Xin Yao, Jim Tørresen:
Exposing market mechanism design trade-offs via multi-objective evolutionary search. IEEE Congress on Evolutionary Computation 2013: 1515-1522 - [c7]Richard Allmendinger, Joshua D. Knowles:
'Hang On a Minute': Investigations on the Effects of Delayed Objective Functions in Multiobjective Optimization. EMO 2013: 6-20 - 2012
- [c6]Richard Allmendinger, Ana S. Simaria, Suzanne S. Farid:
Efficient Discovery of Chromatography Equipment Sizing Strategies for Antibody Purification Processes Using Evolutionary Computing. PPSN (2) 2012: 468-477 - 2011
- [c5]Richard Allmendinger, Joshua D. Knowles:
Policy learning in resource-constrained optimization. GECCO 2011: 1971-1978 - [c4]Richard Allmendinger, Joshua D. Knowles:
Evolutionary Search in Lethal Environments. IJCCI (ECTA-FCTA) 2011: 63-72 - 2010
- [c3]Richard Allmendinger, Joshua D. Knowles:
Evolutionary Optimization on Problems Subject to Changes of Variables. PPSN (2) 2010: 151-160 - [c2]Richard Allmendinger, Joshua D. Knowles:
On-Line Purchasing Strategies for an Evolutionary Algorithm Performing Resource-Constrained Optimization. PPSN (2) 2010: 161-170
2000 – 2009
- 2008
- [c1]Richard Allmendinger, Xiaodong Li, Jürgen Branke:
Reference Point-Based Particle Swarm Optimization Using a Steady-State Approach. SEAL 2008: 200-209
Coauthor Index
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