Richard Allmendinger

Orcid: 0000-0003-1236-3143

Affiliations:
  • University of Manchester, Alliance Manchester Business School, UK (PhD 2011)
  • University College London, Biochemical Engineering Department, UK (2011-2015)


According to our database1, Richard Allmendinger authored at least 79 papers between 2008 and 2024.

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Bibliography

2024
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach.
Data Min. Knowl. Discov., November, 2024

Editorial: Special issue on operations research and machine learning.
INFOR Inf. Syst. Oper. Res., May, 2024

Detecting Hidden and Irrelevant Objectives in Interactive Multiobjective Optimization.
IEEE Trans. Evol. Comput., April, 2024

Spatial-aware decision-making with ring attractors in reinforcement learning systems.
CoRR, 2024

HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting.
CoRR, 2024

An adaptive approach to Bayesian Optimization with switching costs.
CoRR, 2024

FuSeBMC AI: Acceleration of Hybrid Approach through Machine Learning.
CoRR, 2024

Differential evolutionary particle swarm optimization with orthogonal learning for wind integrated optimal power flow.
Appl. Soft Comput., 2024

The Production of Bespoke Synthetic Teaching Datasets Without Access to the Original Data.
Proceedings of the Privacy in Statistical Databases - International Conference, 2024

An Adaptive Approach to Bayesian Optimization with Setup Switching Costs.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

On Solving the Capacitated Vehicle Routing Problem with Time Windows using Quantum Annealing.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Multi-objective evolutionary GAN for tabular data synthesis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Bayesian Optimization with Setup Switching Cost.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound.
Genet. Program. Evolvable Mach., June, 2023

Heterogeneous Objectives: State-of-the-Art and Future Research.
Proceedings of the Many-Criteria Optimization and Decision Analysis: State-of-the-Art, 2023

Multiobjective Optimization on a Budget (Dagstuhl Seminar 23361).
Dagstuhl Reports, 2023

Optimal Allocation of PV Systems on Unbalanced Networks Using Evolutionary Algorithms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Applying Ising Machines to Multi-objective QUBOs.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Interactive Stage-Wise Optimisation of Personalised Medicine Supply Chains.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Towards Developing a Virtual Guitar Instructor through Biometrics Informed Human-Computer Interaction.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis.
IEEE Trans. Evol. Comput., 2022

A Visualizable Test Problem Generator for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2022

Combining Topic Modeling with Grounded Theory: Case Studies of Project Collaboration.
CoRR, 2022

Multi-objective QUBO Solver: Bi-objective Quadratic Assignment.
CoRR, 2022

A Data-Driven Framework for Identifying Investment Opportunities in Private Equity.
CoRR, 2022

What if we increase the number of objectives? Theoretical and empirical implications for many-objective combinatorial optimization.
Comput. Oper. Res., 2022

Editorial: 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2020).
Biosyst., 2022

Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata.
Proceedings of the Privacy in Statistical Databases - International Conference, 2022

Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Cooperative Multi-agent Search on Endogenously-Changing Fitness Landscapes.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

A Study of Scalarisation Techniques for Multi-objective QUBO Solving.
Proceedings of the Operations Research Proceedings 2022: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), 2022

Inventing and Assessing Simple Heuristics for Bidding in Wholesale Electricity Markets.
Proceedings of the Operations Research Proceedings 2022: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), 2022

Coopetition and Knowledge Sharing in Dynamic Business Environments.
Proceedings of the Operations Research Proceedings 2022: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), 2022

Expensive optimization with production-graph resource constraints: a first look at a new problem class.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Are evolutionary algorithms safe optimizers?
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Multi-objective QUBO solver: bi-objective quadratic assignment problem.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Classifying Biometric Data for Musical Interaction Within Virtual Reality.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2022

SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2022

Composite Facility Location Problems: A Case Study of Personalised Medicine.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

2021
Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times.
Knowl. Based Syst., 2021

Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study.
CoRR, 2021

Towards a fairer reimbursement system for burn patients using cost-sensitive classification.
CoRR, 2021

What if we Increase the Number of Objectives? Theoretical and Empirical Implications for Many-objective Optimization.
CoRR, 2021

Heterogeneous Objectives: State-of-the-Art and Future Research.
CoRR, 2021

Evaluating Football Player Actions During Counterattacks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

Multi-objective Workforce Allocation in Construction Projects.
Proceedings of the Applications of Evolutionary Computation, 2021

A Multi-objective Multi-type Facility Location Problem for the Delivery of Personalised Medicine.
Proceedings of the Applications of Evolutionary Computation, 2021

2020
New Interfaces and Approaches to Machine Learning When Classifying Gestures within Music.
Entropy, 2020

Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art.
Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020

Heuristic Search in LegalTech: Dynamic Allocation of Legal Cases to Legal Staff.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019
Dynamic scheduling of multi-product continuous biopharmaceutical facilities: A hyper-heuristic framework.
Comput. Chem. Eng., 2019

New Interfaces for Classifying Performance Gestures in Music.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

A Clustering-Based Patient Grouper for Burn Care.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Evolving controllably difficult datasets for clustering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

A feature rich distance-based many-objective visualisable test problem generator.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Computational Intelligence Techniques in Bioinformatics and Bioengineering [Guest Editorial].
IEEE Comput. Intell. Mag., 2018

Conference Report on 2017 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2017) [Conference Reports].
IEEE Comput. Intell. Mag., 2018

Towards an adaptive encoding for evolutionary data clustering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
A new lot sizing and scheduling heuristic for multi-site biopharmaceutical production.
J. Heuristics, 2017

Heuristic allocation of computational resources.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Sequential experimentation by evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Constraint handling in efficient global optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Leveraging data mining techniques to understand drivers of obesity.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

2015
Multiobjective optimization: When objectives exhibit non-uniform latencies.
Eur. J. Oper. Res., 2015

2014
Tuning Evolutionary Multiobjective Optimization for Closed-Loop Estimation of Chromatographic Operating Conditions.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

A Multiobjective Evolutionary Optimization Framework for Protein Purification Process Design.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

2013
On Handling Ephemeral Resource Constraints in Evolutionary Search.
Evol. Comput., 2013

'Hang On a Minute': Investigations on the Effects of Delayed Objective Functions in Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

Exposing market mechanism design trade-offs via multi-objective evolutionary search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Efficient Discovery of Chromatography Equipment Sizing Strategies for Antibody Purification Processes Using Evolutionary Computing.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

2011
Evolutionary Search in Lethal Environments.
Proceedings of the ECTA and FCTA 2011, 2011

Policy learning in resource-constrained optimization.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
On-Line Purchasing Strategies for an Evolutionary Algorithm Performing Resource-Constrained Optimization.
Proceedings of the Parallel Problem Solving from Nature, 2010

Evolutionary Optimization on Problems Subject to Changes of Variables.
Proceedings of the Parallel Problem Solving from Nature, 2010

2008
Reference Point-Based Particle Swarm Optimization Using a Steady-State Approach.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008


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