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%

• Detecting Hidden and Irrelevant Objectives in Interactive Multi-Objective Optimization

  Shavarani, S. M., López-Ibáñez, M. & Allmendinger, R., 2023, In: IEEE Transactions on Evolutionary Computation.

  Research output: Contribution to journal › Article › peer-review

  • Decision Maker 100%
  • Multi-Objective Optimization 57%
  • Mathematical Optimization 42%
  • Algorithm 42%
  • Solution and Solubility 28%

• 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%

• SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound

  Asonitis, T., Allmendinger, R., Benatan, M. & Climent, R., 13 Mar 2023, In: Genetic Programming and Evolvable Machines. 24, 3

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Mathematical Optimization 100%
  • Generation 50%
  • Multiobjective 50%
  • Approximation (Algorithm) 50%
  • Convergence 25%

• 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

  A Data-Driven Framework for Identifying Investment Opportunities in Private Equity

  Petersone, S., Tan, A., Allmendinger, R., Roy, S. & Hales, J., 4 Apr 2022.

  Research output: Working paper › Preprint

  File
  13 Downloads (Pure)

• 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)

• Classifying Biometric Data for Musical Interaction within Virtual Reality

  Rhodes, C., Allmendinger, R. & Climent, R., 20 Apr 2022, (Accepted/In press).

  Research output: Contribution to conference › Poster › peer-review

  • Virtual Reality 100%
  • Biometric Data 100%
  • Virtual 100%
  • Reality 100%

• Classifying Biometric Data for Musical Interaction within Virtual Reality

  Rhodes, C., Allmendinger, R. & Climent, R., 15 Apr 2022, 11th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) 2022 . Springer Nature, (Lecture Notes in Computer Science).

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

  • Virtual Reality 100%
  • Representation 28%
  • Biometrics 28%
  • Biometric Data 28%
  • Human Computer Interaction 28%

• 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)

• Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes

  Lim, C. W., Allmendinger, R., Knowles, J., Alhosani, A. & Bleda, M., 28 Jun 2022.

  Research output: Working paper › Preprint

  File
  8 Downloads (Pure)

• Editorial: 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2020)

  Ruz, G. A., Ashlock, D., Allmendinger, R. & Fogel, G. B., 11 May 2022, (E-pub ahead of print) In: Bio Systems. p. 104698

  Research output: Contribution to journal › Article

• 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%

• Mapping the state of the art: Artificial intelligence for decision-making in financial crime

  Álvarez Martínez, B., Allmendinger, R., Akbarzadeh Khorshidi, H., Papamarkou, T., Freitas, A., Trippas, J., Zachariadis, M., Lord, N. & Benson, K., 19 Jul 2023, Cybersecurity for Decision Makers. Vajjhala, N. R. & Strang, K. D. (eds.). Boca Raton: Taylor & Francis

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

  • Crime 100%
  • Artificial Intelligence 60%
  • Research Worker 40%
  • Application 40%
  • Approach 40%

• 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

• What if we increase the number of objectives? Theoretical and empirical implications for many-objective combinatorial optimization

  Allmendinger, R., Jaszkiewicz, A., Liefooghe, A. & Tammer, C., 1 Sep 2022, In: Computers & Operations Research. 145, p. 105857

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Multiobjective 100%
  • Design 50%
  • Algorithms 50%
  • Many-Objective Optimization 50%
  • Optimization Problem 50%
• 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%

• A Visualizable Test Problem Generator for Many-Objective Optimization

  Fieldsend, J., Chugh, T., Allmendinger, R. & Miettinen, K., 18 May 2021, (Accepted/In press) In: IEEE Transactions on Evolutionary Computation.

  Research output: Contribution to journal › Article › peer-review

  • Design 100%
  • User 100%
  • Many-Objective Optimization 100%
  • Problem Instance 100%
  • Search Behavior 100%

• Evaluating Football Player Actions during Counterattacks

  Raudonius, L. & Allmendinger, R., 23 Nov 2021, IDEAL: International Conference on Intelleigent Data Engineering and Automated Learning.

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

  • Application 100%
  • Control 100%
  • Evaluation 100%
  • Data Analysis 100%
  • Teams 100%

• 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%

• HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis

  Shand, C., Allmendinger, R., Handl, J., Webb, A. & Keane, J., 7 Dec 2021, (Accepted/In press) In: IEEE Transactions on Evolutionary Computation.

  Research output: Contribution to journal › Article › peer-review

  • Algorithm 100%
  • Benchmark 83%
  • Clustering Algorithm 66%
  • Benchmarking 50%
  • Roles 33%

• Heterogeneous Objectives: State-of-the-Art and Future Research

  Allmendinger, R. & Knowles, J., 26 Feb 2021, In: ArXiv.

  Research output: Contribution to journal › Article

  File
  33 Downloads (Pure)

• Managing Manufacturing and Delivery of Personalised Medicine: Current and Future Models

  Avramescu, A., Allmendinger, R. & López-Ibáñez, M., 2021, (ArXiv).

  Research output: Working paper › Preprint

  • Advanced Therapy 100%
  • Personalized Medicine 80%
  • Patient 60%
  • Obstetric Delivery 60%
  • Therapeutic Procedure 20%

• Multiobjective optimization and decision making in engineering sciences

  Hakanen, J. & Allmendinger, R., Jun 2021, In: Optimization and Engineering. 22, 2, p. 1031-1037 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Decision-Making 100%
  • Engineering Science 33%
  • Multiple Criterion 33%
  • Multiobjective Optimization 33%
  • Application 16%
  65 Downloads (Pure)

• Multi-objective Workforce Allocation in Construction Projects

  Iskandar, A. & Allmendinger, R., 2021, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Castillo, P. A. & Jiménez Laredo, J. L. (eds.). Springer Nature, p. 50-64 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12694 LNCS).

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

  • Design 100%
  • Validation 100%
  • Project Management 100%
  • Availability 100%
  • Resource Utilization 100%

• Preface

  Yin, H., Camacho, D., Tino, P., Allmendinger, R., Tallón-Ballesteros, A. J., Tang, K., Cho, S. B., Novais, P. & Nascimento, S., 2021, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 13113 LNCS, p. v-vi

  Research output: Contribution to journal › Editorial › peer-review

  Open Access

• Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art

  Kim, Y., Allmendinger, R. & López-Ibáñez, M., 2021, p. 123-139. 17 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Learning 100%
  • Algorithms 71%
  • Survey 28%
  • Optimization 28%
  • Reinforcement Learning 28%
  86 Downloads (Pure)

• Surviving Burn Injury: Drivers of Length of Hospital Stay

  Onah, C. N., Allmendinger, R., Handl, J. & Dunn, K. W., 18 Jan 2021, In: International Journal of Environmental Research and Public Health. 18, 2, p. 761

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Patient 100%
  • Burn Center 50%
  • Length of Stay 50%
  • Thermal Burn 50%
  • Mental Health 30%

• The North West of England’s Productivity Challenge: Exploring the issues

  Allmendinger, R., Holden, J. & Sensier, M., 1 Oct 2021, 3 ed., Manchester: Alliance Manchester Business School, University of Manchester, 32 p.

  Research output: Working paper › Discussion paper

  • Economics 100%
  • Productivity 100%
  • Region 75%
  • Authority 50%
  • Research and Development 50%

• 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%

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

  Onah, C. N., Allmendinger, R., Handl, J. & Dunn, K. W., 1 Jul 2021, In: ArXiv.

  Research output: Contribution to journal › Article › peer-review

  File
  14 Downloads (Pure)

• Towards a Holistic Supply Chain Model for Personalised Medicine

  Avramescu, A., Allmendinger, R., López-Ibáñez, M. & Lopes, A., 2021.

  Research output: Contribution to conference › Paper › peer-review

  • Life 100%
  • Personalized Medicine 100%
  • Obstetric Delivery 50%
  • Diseases 50%
  • Cancer Staging 50%

• Transfer Learning Based Surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Different Evaluation Times

  Wang, X., Jin, Y., Schmitt, S., Olhofer, M. & Allmendinger, R., 2 Jun 2021, (Accepted/In press) In: Knowledge Based Systems.

  Research output: Contribution to journal › Article › peer-review

  • Evaluation 100%
  • Training Data 100%
  • Transfer Learning 100%
  • Objective Function 100%
  • Objective Optimization 100%

• What if we Increase the Number of Objectives? Theoretical and Empirical Implications for Many-objective Optimization

  Allmendinger, R., Jaszkiewicz, A., Liefooghe, A. & Tammer, C., 6 Jun 2021, In: ArXiv.

  Research output: Contribution to journal › Article

  File
  43 Downloads (Pure)
• 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%

• Explainable Artificial Intelligence for Digital Forensics: Opportunities, Challenges and a Drug Testing Case Study [Online First]

  Kelly, L., Sachan, S., Ni, L., Almaghrabi, F., Allmendinger, R. & Chen, Y-W., 28 Aug 2020, Digital Forensic Science [Working Title]. IntechOpen, 20 p.

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

  Open Access

  • Forensics 100%
  • Digital Forensics 50%
  • Testing 33%
  • Decision-Making 33%
  • Case Study 33%

• 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%

• New Interfaces and Approaches to Machine Learning When Classifying Gestures within Music

  Rhodes, C., Allmendinger, R. & Climent, R., 7 Dec 2020, In: Entropy. 22, 12, p. 1-42 42 p., 1384.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Machine Learning 100%
  • Representation 25%
  • Optimization 25%
  • Previous Research 25%
  • Biometrics 25%
• 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)

• Dynamic Scheduling of Multi-Product Continuous Biopharmaceutical Facilities: a Hyper-Heuristic Framework

  Oyebolu, F. B., Allmendinger, R., Farid, S. S. & Branke, J., 2 Mar 2019, In: COMPUTERS & CHEMICAL ENGINEERING. 125, 9, p. 71-88 18 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Policy 100%
  • Process 55%
  • Failure 44%
  • Scheduling 44%
  • Parameter 33%
  87 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)

• New Interfaces for Classifying Performance Gestures in Music

  Rhodes, C., Allmendinger, R. & Climent, R., 2019, Intelligent Data Engineering and Automated Learning – IDEAL 2019 - 20th International Conference, Proceedings. Yin, H., Allmendinger, R., Camacho, D., Tino, P., Tallón-Ballesteros, A. J. & Menezes, R. (eds.). p. 31-42 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11872 LNCS).

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

  Open Access

  File

  • Machine Learning 100%
  • Graphical User Interface 22%
  • Contexts 11%
  • Application Software 11%
  • User 11%
  163 Downloads (Pure)

• Preface

  Yin, H., Camacho, D., Tino, P., Tallón-Ballesteros, A. J., Menezes, R. & Allmendinger, R., 2019, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer London, p. v-vi (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11872 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter