Richard Allmendinger

Search results

• 2023

  An Interactive Decision Tree-Based Evolutionary Multi-Objective Algorithm

  Shavarani, S. M., López-Ibáñez, M., Allmendinger, R. & Knowles, J., 1 Feb 2023, (Accepted/In press) EMO 2023.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Preference Model 100%
  • Algorithms 66%
  • Decision Maker 66%
  • Multi-Objective Optimization 66%
  • Control 33%

• Feature-based Benchmarking of Distance-based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective

  Liefooghe, A., Verel, S., Chugh, T., Fieldsend, J., Allmendinger, R. & Miettinen, K., 1 Feb 2023, (Accepted/In press) EMO 2023.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Algorithms 100%
  • Many-Objective Optimization 100%
  • Optimization Problem 100%
  • Algorithm Selection 100%
  • Application 50%

• Interactive Stage-wise Optimisation of Personalised Medicine Supply Chains

  Avramescu, A., López-Ibáñez, M. & Allmendinger, R., 18 Jan 2023, (Accepted/In press) EvoApplications 2023, LNCS 13989.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Supply Chain 100%
  • Decision Maker 75%
  • Location Problem 75%
  • Complexity 50%
  • Network Configuration 50%

• Towards Developing a Virtual Guitar Instructor through Biometrics Informed Human-Computer Interaction

  Rhodes, C., Allmendinger, R., Jay, C. & Climent, R., 1 Feb 2023, (Accepted/In press) CHI 2022: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022- 5 May 2022.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Biometrics 100%
  • Artificial Intelligence 40%
  • Computing 20%
  • Deep Learning 20%
  • Human-Computer Interaction 20%
• 2022

  Are Evolutionary Algorithms Safe Optimizers?

  Kim, Y., Allmendinger, R. & López-Ibáñez, M., 8 Jul 2022, GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference. Fieldsend, J. E. (ed.). New York: Association for Computing Machinery, p. 814–822 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  File

  • Optimization Problem 100%
  • Evolutionary Computation 71%
  • Benchmark 42%
  • Machine Learning 28%
  • Mathematical Optimization 28%
  21 Downloads (Pure)

• Combining Topic Modeling with Grounded Theory: Case Studies of Project Collaboration

  Odacioglu, E. C., Zhang, L. & Allmendinger, R., 4 Apr 2022, (Accepted/In press) The 6th World Conference on Production and Operations Management - P&OM 2022 (2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Project 100%
  • Collaboration 100%
  • Innovation 100%
  • Category 100%
  • Case Studies 100%

• Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata

  Little, C., Elliot, M. & Allmendinger, R., 14 Sep 2022, Privacy in Statistical Databases: International Conference, PSD 2022, Paris, France, September 21–23, 2022, Proceedings. Domingo-Ferrer, J. & Laurent, M. (eds.). Cham, Switzerland: Springer Nature, p. 234-249 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13463 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Utilities 100%
  • Utility 100%
  • Control 40%
  • Synthetic Data 40%
  • Census Microdata 40%

• Composite Facility Location Problems: A Case Study of Personalised Medicine

  Avramescu, A., Allmendinger, R. & López-Ibáñez, M., 2022, 19th Conference on Computational Intelligence in Bioinformatics and Computational Biology. IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  File

  • Complete Problem 100%
  • Supply Chain 66%
  • Decision Variable 66%
  • Decision Space 66%
  • Location Problem 66%
  35 Downloads (Pure)

• Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature

  Rahat, A., Chugh, T., Fieldsend, J., Allmendinger, R. & Miettinen, K., 6 Jun 2022, (Accepted/In press) Parallel Problem Solving from Nature (PPSN XVII) .

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Monte Carlo 100%
  • Approximation 100%
  • Quadrature 100%
  • Closed Form 100%
  • Objective Space 100%

• Expensive Optimization with Production-Graph Resource Constraints: A First Look at a New Problem Class

  Pricopie, S., Allmendinger, R., López-Ibáñez, M., Fare, C., Benatan, M. & Knowles, J., 25 Mar 2022, (Accepted/In press) GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Optimization 100%
  • Evaluation 66%
  • Classes 66%
  • Algorithms 66%
  • Optimization Problem 66%

• Multi-objective QUBO Solver: Bi-objective Quadratic Assignment Problem

  Ayodele, M., Allmendinger, R., López-Ibáñez, M. & Parizy, M., 25 Mar 2022, (Accepted/In press) GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Optimization Problem 100%
  • Multiobjective 80%
  • Algorithms 60%
  • Single Objective 40%
  • Assignment Problem 40%

• SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms

  Asonitis, T., Allmendinger, R., Benatan, M. & Climent, R., 26 Jan 2022, (Accepted/In press) 11th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) 2022 .

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Optimization 100%
  • Mathematical Optimization 100%
  • Approximation (Algorithm) 66%
  • Application 33%
  • Contexts 33%

• Welcome to IEEE CIBCB 2022

  Ashlock, D., Fogel, G., Houghten, S., Brown, J., Hughes, J., Fogel, G., Houghten, S., Allmendinger, R., Auephanwiriyakul, S., Ruz, G., Stoodley, M., Dubé, M., Saunders, A., Nobile, M., Ruz, G., Li, Y. & Tchagang, A., 2022, 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, (2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access
• 2021

  A Multi-Objective Multi-Type Facility Location Problem for the Delivery of Personalised Medicine

  Avramescu, A., Allmendinger, R. & López-Ibáñez, M., 2021, EvoApplications: International Conference on the Applications of Evolutionary Computation.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Personalized Medicine 100%
  • Obstetric Delivery 75%
  • Products 75%
  • Facilities 50%
  • Multiobjective 50%

• Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study

  Little, C., Elliot, M., Allmendinger, R. & Shariati Samani, S., 16 Nov 2021, (Accepted/In press) 2021 Expert Meeting on Statistical Data Confidentiality .

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Generative Adversarial Networks 100%
  • Potential Application 25%
  • Domains 25%
  • Synthetic Data 25%
  • Utilities 25%

• Towards a fairer reimbursement system for burn patients using cost-sensitive classification

  Onah, C. N., Allmendinger, R., Handl, J. & Dunn, K. W., 27 Jun 2021, (Accepted/In press) Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare .

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Groups 100%
  • Health 50%
  • Inclusion 16%
  • Adoption 16%
  • Segmentation 16%
• 2020

  APPLICATION OF ARTIFICIAL INTELLIGENCE BASED SIMULATIONS FOR MILITARY LOGISTICS SUPPLY NETWORK DECISION MAKING

  Bevelle, C., Allmendinger, R. & Ghataoura, D., 23 Oct 2020, NATO Modelling & Simulation Group (MSG)-177 Symposium: Towards On-Demand Personalized Training and Decision Support".

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Networks 100%
  • Applications 100%
  • Simulation 100%
  • Computer 100%
  • Artificial Intelligence 100%

• Heuristic Search in LegalTech: Dynamic Allocation of Legal Cases to Legal Staff

  Ayodele, M., Allmendinger, R. & Papamichail, N., 25 Jun 2020, (Accepted/In press) Sixth International Conference on Machine Learning, Optimization, and Data Science (LOD).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Allocation Problem 100%
  • Contexts 50%
  • Validation 50%
  • Prevents 50%
  • Workload 50%
• 2019

  A Clustering-Based Patient Grouper for Burn Care

  Onah, C., Allmendinger, R., Handl, J., Yiapanis, P. & Dunn, K. W., 2019, Intelligent Data Engineering and Automated Learning - IDEAL 2019 .

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  File

  • Patient 100%
  • Groups 44%
  • Burn Center 16%
  • Health 16%
  • Thermal Burn 16%
  148 Downloads (Pure)

• A Feature Rich Distance-Based Many-Objective Visualisable Test Problem Generator

  Fieldsend, J., Chugh, T., Allmendinger, R. & Miettinen, K., 15 Jul 2019, GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference .

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  File

  • Design 100%
  • Objective Space 50%
  • Generators 50%
  • Characteristics 50%
  • Points 50%
  164 Downloads (Pure)

• Evolving Controllably Difficult Datasets for Clustering

  Shand, C., Allmendinger, R., Handl, J., Webb, A. & Keane, J., 13 Jul 2019, Proceedings of the Annual Conference on Genetic and Evolutionary Computation (GECCO '19) .

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  File

  • Strength 100%
  • Light 100%
  • Aptitude 100%
  • Evolutionary Algorithm 100%
  248 Downloads (Pure)
• 2018

  Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies

  chugh, T., Allmendinger, R., Ojalehto, V. & Miettinen, K., 2018, Proceedings of the 2018 Genetic and Evolutionary Computation Conference (GECCO 2018). Association for Computing Machinery

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  File

  • Evolutionary Algorithm 100%
  • Objective Function 50%
  • Kriging 50%
  • Reference Vector 50%
  • Optimization 25%
  89 Downloads (Pure)

• Towards an Adaptive Encoding for Evolutionary Data Clustering

  Shand, C., Allmendinger, R., Handl, J. & Keane, J., 2018, GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, p. 521-528 8 p. (GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  File

  • Control 100%
  • Optimization 100%
  • Complexity 100%
  • Clustering Algorithm 100%
  • Crossover 100%
  146 Downloads (Pure)
• 2017

  Constraint handling in efficient global optimization

  Bagheri, S., Branke, J., Konen, W., Deb, K., Allmendinger, R., Fieldsend, J., Quagliarella, D. & Sindhya, K., 1 Jul 2017, GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, p. 673-680 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  File

  • Algorithms 100%
  • Global Optimization 60%
  • Functions 20%
  • Real World 20%
  • Optimization Problem 20%
  165 Downloads (Pure)

• Heuristic allocation of computational resources

  Tofan, S., Zanda, M., Allmendinger, R. & Stephens, O., 2017, GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, p. 1256-1263 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  File

  • Planning Horizon 100%
  • Application 50%
  • Contexts 50%
  • Algorithms 50%
  • Intellectual Property 50%
  97 Downloads (Pure)

• Leveraging data mining techniques to understand drivers of obesity

  Salehnejad, R. & Allmendinger, R., 2017, IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2017).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  File

  • Economics 100%
  • Labour 50%
  • Income 25%
  • Linear Regression Model 25%
  • Education 25%
  133 Downloads (Pure)

• Sequential experimentation by evolutionary algorithms

  Shir, O. M., Bäck, T., Knowles, J. & Allmendinger, R., 15 Jul 2017, GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, p. 828-851 24 p. (GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
• 2013

  Exposing market mechanism design trade-offs via multi-objective evolutionary search

  Chandra, A., Allmendinger, R., Lewis, P. R., Yao, X. & Torresen, J., 2013, 2013 IEEE Congress on Evolutionary Computation. IEEE, p. 1515-1522 8 p. 6557742

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Application 100%
  • Classes 75%
  • Multiobjective 75%
  • Mechanism Design 75%
  • Single Objective 50%
• 2012

  Efficient discovery of chromatography equipment sizing strategies for antibody purification processes using evolutionary computing

  Allmendinger, R., Simaria, A. S. & Farid, S. S., 24 Sep 2012, Parallel Problem Solving from Nature, PPSN XII - 12th International Conference, Proceedings. PART 2 ed. p. 468-477 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7492 LNCS, no. PART 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Time 100%
  • Copurification 100%
  • Technique in Chromatography 100%
  • Solution and Solubility 50%
  • Population Size 50%
• 2008

  Reference point-based particle swarm optimization using a steady-state approach

  Allmendinger, R., Li, X. & Branke, J., 2008, Simulated Evolution and Learning - 7th International Conference, SEAL 2008, Proceedings. Springer Nature, Vol. 5361. p. 200-209 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5361 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Particle Swarm Optimization 100%
  • Mathematical Optimization 60%
  • Reference Point 60%
  • User 40%
  • Multiobjective 40%