Richard Allmendinger

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 69

Top Topics

Facility Location

Constrained Problems

Disclosure Risk

Top Venues

GECCO Companion

IEEE Trans. Evol. Comput.

Publications

Wenlei Bai, Fanlin Meng, Ming Sun, Haoxiang Qin, Richard Allmendinger, Kwang Y. Lee
Differential evolutionary particle swarm optimization with orthogonal learning for wind integrated optimal power flow. Appl. Soft Comput. 160 (2024)
Seyed Mahdi Shavarani, Manuel López-Ibáñez, Richard Allmendinger
Detecting Hidden and Irrelevant Objectives in Interactive Multiobjective Optimization. IEEE Trans. Evol. Comput. 28 (2) (2024)
Axel Vargas, Pradyumn Shukla, Richard Allmendinger, Andreas Jaeger
On Solving the Capacitated Vehicle Routing Problem with Time Windows using Quantum Annealing. GECCO Companion (2024)
Kaled M. Alshmrany, Mohannad Aldughaim, Chenfeng Wei, Tom Sweet, Richard Allmendinger, Lucas C. Cordeiro
FuSeBMC AI: Acceleration of Hybrid Approach through Machine Learning. CoRR (2024)
Nian Ran, Bahrul Ilmi Nasution, Claire Little, Richard Allmendinger, Mark J. Elliot
Multi-objective evolutionary GAN for tabular data synthesis. GECCO (2024)
Nian Ran, Bahrul Ilmi Nasution, Claire Little, Richard Allmendinger, Mark J. Elliot
Multi-objective evolutionary GAN for tabular data synthesis. CoRR (2024)
Hadi Akbarzadeh Khorshidi, Marzieh Soltanolkottabi, Richard Allmendinger, Uwe Aickelin
Editorial: Special issue on operations research and machine learning. INFOR Inf. Syst. Oper. Res. 62 (2) (2024)
Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
An adaptive approach to Bayesian Optimization with switching costs. CoRR (2024)
Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
Bayesian Optimization with Setup Switching Cost. GECCO Companion (2024)
Danny Wood, Theodore Papamarkou, Matt Benatan, Richard Allmendinger
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach. CoRR (2023)
Seyed Mahdi Shavarani, Manuel López-Ibáñez, Richard Allmendinger, Joshua D. Knowles
An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm. EMO (2023)
Richard Allmendinger, Carlos M. Fonseca, Serpil Sayin, Margaret M. Wiecek, Michael Stiglmayr
Multiobjective Optimization on a Budget (Dagstuhl Seminar 23361). Dagstuhl Reports 13 (9) (2023)
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) (2023)
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)
Chris Rhodes, Richard Allmendinger, Caroline Jay, Ricardo Climent
Towards Developing a Virtual Guitar Instructor through Biometrics Informed Human-Computer Interaction. CHI Extended Abstracts (2023)
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 (2023)
Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Arnaud Liefooghe, Matthieu Parizy
Applying Ising Machines to Multi-objective QUBOs. GECCO Companion (2023)
Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Arnaud Liefooghe, Matthieu Parizy
Applying Ising Machines to Multi-objective QUBOs. CoRR (2023)
Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent
SonOpt: Understanding the behaviour of bi-objective population-based optimisation algorithms through sound. GECCO Companion (2023)
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)
Claire Little, Mark Elliot, Richard Allmendinger
Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata. PSD (2022)
Andreea Avramescu, Richard Allmendinger, Manuel López-Ibáñez, Adriana G. Lopes
Composite Facility Location Problems: A Case Study of Personalised Medicine. CIBCB (2022)
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 (2022)
Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature. CoRR (2022)
Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez
Are evolutionary algorithms safe optimizers? GECCO (2022)
Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Matthieu Parizy
A Study of Scalarisation Techniques for Multi-Objective QUBO Solving. CoRR (2022)
Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda
Cooperative Multi-agent Search on Endogenously-Changing Fitness Landscapes. PPSN (1) (2022)
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 (2022)
Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent
SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms. EvoMUSART (2022)
Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua Knowles
Expensive optimization with production-graph resource constraints: a first look at a new problem class. GECCO (2022)
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)
Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Matthieu Parizy
Multi-objective QUBO solver: bi-objective quadratic assignment problem. GECCO (2022)
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) (2022)
Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez
Are Evolutionary Algorithms Safe Optimizers? CoRR (2022)
Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda
Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes. CoRR (2022)
Samantha Petersone, Alwin Tan, Richard Allmendinger, Sujit Roy, James Hales
A Data-Driven Framework for Identifying Investment Opportunities in Private Equity. CoRR (2022)
Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Matthieu Parizy
Multi-objective QUBO Solver: Bi-objective Quadratic Assignment. CoRR (2022)
Chris Rhodes, Richard Allmendinger, Ricardo Climent
Classifying Biometric Data for Musical Interaction Within Virtual Reality. EvoMUSART (2022)
Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent
SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms. CoRR (2022)
Eyyub Can Odacioglu, Lihong Zhang, Richard Allmendinger
Combining Topic Modeling with Grounded Theory: Case Studies of Project Collaboration. CoRR (2022)
Claire Little, Mark Elliot, Richard Allmendinger
Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata. CoRR (2022)
Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen
A Visualizable Test Problem Generator for Many-Objective Optimization. IEEE Trans. Evol. Comput. 26 (1) (2022)
Claire Little, Mark Elliot, Richard Allmendinger, Sahel Shariati Samani
Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study. CoRR (2021)
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 (2021)
Andrew Iskandar, Richard Allmendinger
Multi-objective Workforce Allocation in Construction Projects. EvoApplications (2021)
Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art. CoRR (2021)
Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane
HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis. CoRR (2021)
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 (2021)
Andreea Avramescu, Richard Allmendinger, Manuel López-Ibáñez
A Multi-objective Multi-type Facility Location Problem for the Delivery of Personalised Medicine. EvoApplications (2021)
Richard Allmendinger, Joshua D. Knowles
Heterogeneous Objectives: State-of-the-Art and Future Research. CoRR (2021)
Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Kenneth W. Dunn
Towards a fairer reimbursement system for burn patients using cost-sensitive classification. CoRR (2021)
Laurynas Raudonius, Richard Allmendinger
Evaluating Football Player Actions During Counterattacks. IDEAL (2021)
Mayowa Ayodele, Richard Allmendinger, K. Nadia Papamichail
Heuristic Search in LegalTech: Dynamic Allocation of Legal Cases to Legal Staff. LOD (2) (2020)
Chris Rhodes, Richard Allmendinger, Ricardo Climent
New Interfaces and Approaches to Machine Learning When Classifying Gestures within Music. Entropy 22 (12) (2020)
Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art. TAILOR (2020)
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 (2019)
Chris Rhodes, Richard Allmendinger, Ricardo Climent
New Interfaces for Classifying Performance Gestures in Music. IDEAL (2) (2019)
Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen
A feature rich distance-based many-objective visualisable test problem generator. GECCO (2019)
Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane
Evolving controllably difficult datasets for clustering. GECCO (2019)
Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Paraskevas Yiapanis, Kenneth W. Dunn
A Clustering-Based Patient Grouper for Burn Care. IDEAL (2) (2019)
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) (2018)
Richard Allmendinger, Daniel A. Ashlock, Sansanee Auephanwiriyakul
Computational Intelligence Techniques in Bioinformatics and Bioengineering [Guest Editorial]. IEEE Comput. Intell. Mag. 13 (3) (2018)
Cameron Shand, Richard Allmendinger, Julia Handl, John Keane
Towards an adaptive encoding for evolutionary data clustering. GECCO (2018)
Tinkle Chugh, Richard Allmendinger, Vesa Ojalehto, Kaisa Miettinen
Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies. GECCO (2018)
Silviu Tofan, Richard Allmendinger, Manuela Zanda, Olly Stephens
Heuristic allocation of computational resources. GECCO (2017)
Ofer M. Shir, Thomas Bäck, Joshua D. Knowles, Richard Allmendinger
Sequential experimentation by evolutionary algorithms. GECCO (Companion) (2017)
R. Salehnejad, Richard Allmendinger, Y.-W. Chen, M. Ali, Azar Shahgholian, P. Yiapanis, M. Mansur
Leveraging data mining techniques to understand drivers of obesity. CIBCB (2017)
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) (2017)
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)
Richard Allmendinger, Julia Handl, Joshua D. Knowles
Multiobjective optimization: When objectives exhibit non-uniform latencies. Eur. J. Oper. Res. 243 (2) (2015)
Richard Allmendinger, Suzanne S. Farid
A Multiobjective Evolutionary Optimization Framework for Protein Purification Process Design. PPSN (2014)
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)
Richard Allmendinger, Joshua D. Knowles
'Hang On a Minute': Investigations on the Effects of Delayed Objective Functions in Multiobjective Optimization. EMO (2013)
Richard Allmendinger, Joshua D. Knowles
On Handling Ephemeral Resource Constraints in Evolutionary Search. Evol. Comput. 21 (3) (2013)
Andreea Avramescu, Manuel López-Ibáñez, Richard Allmendinger
Interactive Stage-Wise Optimisation of Personalised Medicine Supply Chains. EvoApplications@EvoStar (2013)
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)
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)
Richard Allmendinger, Joshua D. Knowles
Evolutionary Search in Lethal Environments. IJCCI (ECTA-FCTA) (2011)
Richard Allmendinger, Joshua D. Knowles
Policy learning in resource-constrained optimization. GECCO (2011)
Richard Allmendinger, Joshua D. Knowles
On-Line Purchasing Strategies for an Evolutionary Algorithm Performing Resource-Constrained Optimization. PPSN (2) (2010)
Richard Allmendinger, Joshua D. Knowles
Evolutionary Optimization on Problems Subject to Changes of Variables. PPSN (2) (2010)
Richard Allmendinger, Xiaodong Li, Jürgen Branke
Reference Point-Based Particle Swarm Optimization Using a Steady-State Approach. SEAL (2008)