Richard Allmendinger

115 papers A* 1A 14B 3C 12Journal 54Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bayesian Generative Adversarial Networks via Gaussian Approximation for Tabular Data Synthesis. CoRR Bahrul Ilmi Nasution, Mark J. Elliot, Richard Allmendinger
2026	J	`jnl`	Flow Matching for Tabular Data Synthesis. Trans. Mach. Learn. Res. Bahrul Ilmi Nasution, Floor Eijkelboom, Mark Elliot, Richard Allmendinger, Christian A. Naesseth
2026	J	`jnl`	MIRACL: A Diverse Meta-Reinforcement Learning for Multi-Objective Multi-Echelon Combinatorial Supply Chain Optimisation. CoRR Rifny Rachman, Josh C. Tingey, Richard Allmendinger, Wei Pan, Pradyumn Kumar Shukla, Bahrul Ilmi Nasution
2025	J	`jnl`	Automated Flow Pattern Classification in Multi-phase Systems Using AI and Capacitance Sensing Techniques. CoRR Nian Ran, Fayez M. Al-Alweet, Richard Allmendinger, Ahmad Almakhlafi
2025	—	`conf`	Bi-objective Optimisation of Cybersecurity Investment: Reducing Component Vulnerability and Security Breach Risk. GECCO Companion Seyedamirhossein Salehi-Amiri, Xiuqin Li, Richard Allmendinger, Elvira Uyarra, James Mercer
2025	J	`jnl`	Counterfactual Credit Guided Bayesian Optimization. CoRR Qiyu Wei, Haowei Wang, Richard Allmendinger, Mauricio A. Álvarez
2025	J	`jnl`	Flow Matching for Tabular Data Synthesis. CoRR Bahrul Ilmi Nasution, Floor Eijkelboom, Mark J. Elliot, Richard Allmendinger, Christian A. Naesseth
2025	J	`jnl`	Gradient-based Sample Selection for Faster Bayesian Optimization. CoRR Qiyu Wei, Haowei Wang, Zirui Cao, Songhao Wang, Richard Allmendinger, Mauricio A. Álvarez
2025	J	`jnl`	Ground truths: challenges and opportunities in developing an AI guitar assistant. Frontiers Comput. Sci. Chris Rhodes, Nico Garcia-Peguinho, Laura Beesley, Hongshuo Fan, Caroline Jay, Richard Allmendinger, Ricardo Climent
2025	A*	`conf`	HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting. ICLR Nian Ran, Peng Xiao, Yue Wang, Wesley Shi, Jianxin Lin, Qi Meng, Richard Allmendinger
2025	J	`jnl`	MCCE: A Framework for Multi-LLM Collaborative Co-Evolution. CoRR Nian Ran, Zhongzheng Li, Yue Wang, Qingsong Ran, Xiaoyuan Zhang, Shikun Feng, Richard Allmendinger, Xiaoguang Zhao
2025	J	`jnl`	MOLLM: Multi-Objective Large Language Model for Molecular Design - Optimizing with Experts. CoRR Nian Ran, Yue Wang, Richard Allmendinger
2025	—	`conf`	Multi-objective Sequential Decision Making for Holistic Supply Chain Optimization. EMO (1) Rifny Rachman, Josh C. Tingey, Richard Allmendinger, Pradyumn Kumar Shukla, Wei Pan
2025	J	`jnl`	Reinforcement Learning for Multi-Objective Multi-Echelon Supply Chain Optimisation. CoRR Rifny Rachman, Josh C. Tingey, Richard Allmendinger, Pradyumn Kumar Shukla, Wei Pan
2025	A	`conf`	TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion. IROS Amr Mousa, Neil Karavis, Michele Caprio, Wei Pan, Richard Allmendinger
2025	J	`jnl`	TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion. CoRR Amr Mousa, Neil Karavis, Michele Caprio, Wei Pan, Richard Allmendinger
2025	—	`conf`	Towards Deep Optimization in Operations Scheduling. GECCO Companion Linus Danardya, Joshua D. Knowles, Richard Allmendinger
2024	—	`conf`	An Adaptive Approach to Bayesian Optimization with Setup Switching Costs. PPSN (2) Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
2024	J	`jnl`	An adaptive approach to Bayesian Optimization with switching costs. CoRR Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
2024	—	`conf`	Bayesian Optimization with Setup Switching Cost. GECCO Companion Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
2024	J	`jnl`	Detecting Hidden and Irrelevant Objectives in Interactive Multiobjective Optimization. IEEE Trans. Evol. Comput. Seyed Mahdi Shavarani, Manuel López-Ibáñez, Richard Allmendinger
2024	J	`jnl`	Differential evolutionary particle swarm optimization with orthogonal learning for wind integrated optimal power flow. Appl. Soft Comput. Wenlei Bai, Fanlin Meng, Ming Sun, Haoxiang Qin, Richard Allmendinger, Kwang Y. Lee
2024	J	`jnl`	Dynamic Detection of Relevant Objectives and Adaptation to Preference Drifts in Interactive Evolutionary Multi-Objective Optimization. CoRR Seyed Mahdi Shavarani, Mahmoud Golabi, Richard Allmendinger, Lhassane Idoumghar
2024	J	`jnl`	Editorial: Special issue on operations research and machine learning. INFOR Inf. Syst. Oper. Res. Hadi Akbarzadeh Khorshidi, Marzieh Soltanolkottabi, Richard Allmendinger, Uwe Aickelin
2024	—	`conf`	Enhancing Behavioural Anomaly Detection Under Concept Drift within Healthcare Sector: Application of Change Point Detection and Batch Learning. IEEM C. C. Wong, Amirhossein Salehi-Amiri, Richard Allmendinger, Arijit De
2024	J	`jnl`	FuSeBMC AI: Acceleration of Hybrid Approach through Machine Learning. CoRR Kaled M. Alshmrany, Mohannad Aldughaim, Chenfeng Wei, Tom Sweet, Richard Allmendinger, Lucas C. Cordeiro
2024	J	`jnl`	HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting. CoRR Nian Ran, Peng Xiao, Yue Wang, Wesley Shi, Jianxin Lin, Qi Meng, Richard Allmendinger
2024	J	`jnl`	Model-agnostic variable importance for predictive uncertainty: an entropy-based approach. Data Min. Knowl. Discov. Danny Wood, Theodore Papamarkou, Matt Benatan, Richard Allmendinger
2024	A	`conf`	Multi-objective evolutionary GAN for tabular data synthesis. GECCO Nian Ran, Bahrul Ilmi Nasution, Claire Little, Richard Allmendinger, Mark J. Elliot
2024	J	`jnl`	Multi-objective evolutionary GAN for tabular data synthesis. CoRR Nian Ran, Bahrul Ilmi Nasution, Claire Little, Richard Allmendinger, Mark J. Elliot
2024	—	`conf`	On Solving the Capacitated Vehicle Routing Problem with Time Windows using Quantum Annealing. GECCO Companion Axel Vargas, Pradyumn Kumar Shukla, Richard Allmendinger, Andreas Jaeger
2024	C	`conf`	Real-Time IoMT-driven Optimisation for Large-Scale Home Health Care Planning. IJCCI Seyedamirhossein Salehiamiri, Richard Allmendinger, Arijit De
2024	J	`jnl`	Spatial-aware decision-making with ring attractors in reinforcement learning systems. CoRR Marcos Negre Saura, Richard Allmendinger, Theodore Papamarkou, Wei Pan
2024	C	`conf`	The Production of Bespoke Synthetic Teaching Datasets Without Access to the Original Data. PSD Mark J. Elliot, Claire Little, Richard Allmendinger
2023	C	`conf`	An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm. EMO Seyed Mahdi Shavarani, Manuel López-Ibáñez, Richard Allmendinger, Joshua D. Knowles
2023	—	`conf`	Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. GECCO Companion Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova
2023	J	`jnl`	Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. CoRR Diederick Vermetten, Manuel López-Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova
2023	—	`conf`	Applying Ising Machines to Multi-objective QUBOs. GECCO Companion Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Arnaud Liefooghe, Matthieu Parizy
2023	J	`jnl`	Applying Ising Machines to Multi-objective QUBOs. CoRR Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Arnaud Liefooghe, Matthieu Parizy
2023	C	`conf`	Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective. EMO Arnaud Liefooghe, Sébastien Vérel, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
2023	—	`ch.`	Heterogeneous Objectives: State-of-the-Art and Future Research. Many-Criteria Optimization and Decision Analysis Richard Allmendinger, Joshua D. Knowles
2023	—	`conf`	Interactive Stage-Wise Optimisation of Personalised Medicine Supply Chains. EvoApplications@EvoStar Andreea Avramescu, Manuel López-Ibáñez, Richard Allmendinger
2023	J	`jnl`	Model-agnostic variable importance for predictive uncertainty: an entropy-based approach. CoRR Danny Wood, Theodore Papamarkou, Matt Benatan, Richard Allmendinger
2023	J	`jnl`	Multiobjective Optimization on a Budget (Dagstuhl Seminar 23361). Dagstuhl Reports Richard Allmendinger, Carlos M. Fonseca, Serpil Sayin, Margaret M. Wiecek, Michael Stiglmayr
2023	—	`conf`	Optimal Allocation of PV Systems on Unbalanced Networks Using Evolutionary Algorithms. SSCI Wenlei Bai, Wen Zhang, Fanlin Meng, Richard Allmendinger, Kwang Y. Lee
2023	—	`conf`	SonOpt: Understanding the behaviour of bi-objective population-based optimisation algorithms through sound. GECCO Companion Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent
2023	J	`jnl`	SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound. Genet. Program. Evolvable Mach. Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent
2023	—	`conf`	Towards Developing a Virtual Guitar Instructor through Biometrics Informed Human-Computer Interaction. CHI Extended Abstracts Chris Rhodes, Richard Allmendinger, Caroline Jay, Ricardo Climent
2022	J	`jnl`	A Data-Driven Framework for Identifying Investment Opportunities in Private Equity. CoRR Samantha Petersone, Alwin Tan, Richard Allmendinger, Sujit Roy, James Hales
2022	J	`jnl`	A Study of Scalarisation Techniques for Multi-Objective QUBO Solving. CoRR Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Matthieu Parizy
2022	—	`conf`	A Study of Scalarisation Techniques for Multi-objective QUBO Solving. OR Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Matthieu Parizy
2022	J	`jnl`	A Visualizable Test Problem Generator for Many-Objective Optimization. IEEE Trans. Evol. Comput. Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen
2022	J	`jnl`	Are Evolutionary Algorithms Safe Optimizers? CoRR Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez
2022	A	`conf`	Are evolutionary algorithms safe optimizers? GECCO Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez
2022	C	`conf`	Classifying Biometric Data for Musical Interaction Within Virtual Reality. EvoMUSART Chris Rhodes, Richard Allmendinger, Ricardo Climent
2022	J	`jnl`	Combining Topic Modeling with Grounded Theory: Case Studies of Project Collaboration. CoRR Eyyub Can Odacioglu, Lihong Zhang, Richard Allmendinger
2022	C	`conf`	Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata. PSD Claire Little, Mark J. Elliot, Richard Allmendinger
2022	J	`jnl`	Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata. CoRR Claire Little, Mark J. Elliot, Richard Allmendinger
2022	C	`conf`	Composite Facility Location Problems: A Case Study of Personalised Medicine. CIBCB Andreea Avramescu, Richard Allmendinger, Manuel López-Ibáñez, Adriana G. Lopes
2022	J	`jnl`	Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes. CoRR Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda
2022	—	`conf`	Cooperative Multi-agent Search on Endogenously-Changing Fitness Landscapes. PPSN (1) Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda
2022	—	`conf`	Coopetition and Knowledge Sharing in Dynamic Business Environments. OR Ayesha AlHosani, Richard Allmendinger, Mercedes Bleda
2022	J	`jnl`	Editorial: 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2020). Biosyst. Gonzalo A. Ruz, Daniel A. Ashlock, Richard Allmendinger, Gary B. Fogel
2022	—	`conf`	Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature. PPSN (1) Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
2022	J	`jnl`	Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature. CoRR Alma A. M. Rahat, Tinkle Chugh, Jonathan E. Fieldsend, Richard Allmendinger, Kaisa Miettinen
2022	A	`conf`	Expensive optimization with production-graph resource constraints: a first look at a new problem class. GECCO Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
2022	J	`jnl`	HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis. IEEE Trans. Evol. Comput. Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane
2022	—	`conf`	Inventing and Assessing Simple Heuristics for Bidding in Wholesale Electricity Markets. OR Jake Atkinson, Richard Allmendinger, Joshua D. Knowles
2022	J	`jnl`	Multi-objective QUBO Solver: Bi-objective Quadratic Assignment. CoRR Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Matthieu Parizy
2022	A	`conf`	Multi-objective QUBO solver: bi-objective quadratic assignment problem. GECCO Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez, Matthieu Parizy
2022	C	`conf`	SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms. EvoMUSART Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent
2022	J	`jnl`	SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms. CoRR Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent
2022	J	`jnl`	What if we increase the number of objectives? Theoretical and empirical implications for many-objective combinatorial optimization. Comput. Oper. Res. Richard Allmendinger, Andrzej Jaszkiewicz, Arnaud Liefooghe, Christiane Tammer
2021	B	`conf`	A Multi-objective Multi-type Facility Location Problem for the Delivery of Personalised Medicine. EvoApplications Andreea Avramescu, Richard Allmendinger, Manuel López-Ibáñez
2021	C	`conf`	Evaluating Football Player Actions During Counterattacks. IDEAL Laurynas Raudonius, Richard Allmendinger
2021	J	`jnl`	Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study. CoRR Claire Little, Mark J. Elliot, Richard Allmendinger, Sahel Shariati Samani
2021	J	`jnl`	HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis. CoRR Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane
2021	J	`jnl`	Heterogeneous Objectives: State-of-the-Art and Future Research. CoRR Richard Allmendinger, Joshua D. Knowles
2021	C	`ed.`	Intelligent Data Engineering and Automated Learning - IDEAL 2021 - 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings IDEAL Hujun Yin, David Camacho, Peter Tiño, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, Susana Nascimento
2021	B	`conf`	Multi-objective Workforce Allocation in Construction Projects. EvoApplications Andrew Iskandar, Richard Allmendinger
2021	J	`jnl`	Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art. CoRR Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez
2021	J	`jnl`	Towards a fairer reimbursement system for burn patients using cost-sensitive classification. CoRR Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Kenneth W. Dunn
2021	J	`jnl`	Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times. Knowl. Based Syst. Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer, Richard Allmendinger
2021	J	`jnl`	What if we Increase the Number of Objectives? Theoretical and Empirical Implications for Many-objective Optimization. CoRR Richard Allmendinger, Andrzej Jaszkiewicz, Arnaud Liefooghe, Christiane Tammer
2020	—	`conf`	Heuristic Search in LegalTech: Dynamic Allocation of Legal Cases to Legal Staff. LOD (2) Mayowa Ayodele, Richard Allmendinger, K. Nadia Papamichail
2020	J	`jnl`	New Interfaces and Approaches to Machine Learning When Classifying Gestures within Music. Entropy Chris Rhodes, Richard Allmendinger, Ricardo Climent
2020	—	`conf`	Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art. TAILOR Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez
2019	—	`conf`	A Clustering-Based Patient Grouper for Burn Care. IDEAL (2) Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Paraskevas Yiapanis, Kenneth W. Dunn
2019	A	`conf`	A feature rich distance-based many-objective visualisable test problem generator. GECCO Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, Kaisa Miettinen
2019	J	`jnl`	Dynamic scheduling of multi-product continuous biopharmaceutical facilities: A hyper-heuristic framework. Comput. Chem. Eng. Folarin B. Oyebolu, Richard Allmendinger, Suzanne S. Farid, Jürgen Branke
2019	A	`conf`	Evolving controllably difficult datasets for clustering. GECCO Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane
2019	—	`ed.`	Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part I IDEAL (1) Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger
2019	—	`ed.`	Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part II IDEAL (2) Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger
2019	—	`conf`	New Interfaces for Classifying Performance Gestures in Music. IDEAL (2) Chris Rhodes, Richard Allmendinger, Ricardo Climent
2018	J	`jnl`	Computational Intelligence Techniques in Bioinformatics and Bioengineering [Guest Editorial]. IEEE Comput. Intell. Mag. Richard Allmendinger, Daniel A. Ashlock, Sansanee Auephanwiriyakul
2018	J	`jnl`	Conference Report on 2017 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2017) [Conference Reports]. IEEE Comput. Intell. Mag. Richard Allmendinger
2018	A	`conf`	Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies. GECCO Tinkle Chugh, Richard Allmendinger, Vesa Ojalehto, Kaisa Miettinen
2018	A	`conf`	Towards an adaptive encoding for evolutionary data clustering. GECCO Cameron Shand, Richard Allmendinger, Julia Handl, John Keane
2017	J	`jnl`	A new lot sizing and scheduling heuristic for multi-site biopharmaceutical production. J. Heuristics Folarin B. Oyebolu, Jeroen van Lidth de Jeude, Cyrus Siganporia, Suzanne S. Farid, Richard Allmendinger, Jürgen Branke
2017	A	`conf`	Constraint handling in efficient global optimization. GECCO Samineh Bagheri, Wolfgang Konen, Richard Allmendinger, Jürgen Branke, Kalyanmoy Deb, Jonathan E. Fieldsend, Domenico Quagliarella, Karthik Sindhya
2017	A	`conf`	Heuristic allocation of computational resources. GECCO Silviu Tofan, Richard Allmendinger, Manuela Zanda, Olly Stephens
2017	C	`conf`	Leveraging data mining techniques to understand drivers of obesity. CIBCB Reza Salehnejad, Richard Allmendinger, Yu-Wang Chen, Manhal Ali, Azar Shahgholian, Paraskevas Yiapanis, Mohaimen Mansur
2017	—	`conf`	Sequential experimentation by evolutionary algorithms. GECCO (Companion) Ofer M. Shir, Thomas Bäck, Joshua D. Knowles, Richard Allmendinger
2015	J	`jnl`	Multiobjective optimization: When objectives exhibit non-uniform latencies. Eur. J. Oper. Res. Richard Allmendinger, Julia Handl, Joshua D. Knowles
2014	A	`conf`	A Multiobjective Evolutionary Optimization Framework for Protein Purification Process Design. PPSN Richard Allmendinger, Suzanne S. Farid
2014	A	`conf`	Tuning Evolutionary Multiobjective Optimization for Closed-Loop Estimation of Chromatographic Operating Conditions. PPSN Richard Allmendinger, Spyridon Gerontas, Nigel John Titchener-Hooker, Suzanne S. Farid
2013	C	`conf`	'Hang On a Minute': Investigations on the Effects of Delayed Objective Functions in Multiobjective Optimization. EMO Richard Allmendinger, Joshua D. Knowles
2013	B	`conf`	Exposing market mechanism design trade-offs via multi-objective evolutionary search. IEEE Congress on Evolutionary Computation Arjun Chandra, Richard Allmendinger, Peter R. Lewis, Xin Yao, Jim Tørresen
2013	J	`jnl`	On Handling Ephemeral Resource Constraints in Evolutionary Search. Evol. Comput. Richard Allmendinger, Joshua D. Knowles
2012	—	`conf`	Efficient Discovery of Chromatography Equipment Sizing Strategies for Antibody Purification Processes Using Evolutionary Computing. PPSN (2) Richard Allmendinger, Ana S. Simaria, Suzanne S. Farid
2011	—	`conf`	Evolutionary Search in Lethal Environments. IJCCI (ECTA-FCTA) Richard Allmendinger, Joshua D. Knowles
2011	A	`conf`	Policy learning in resource-constrained optimization. GECCO Richard Allmendinger, Joshua D. Knowles
2010	—	`conf`	Evolutionary Optimization on Problems Subject to Changes of Variables. PPSN (2) Richard Allmendinger, Joshua D. Knowles
2010	—	`conf`	On-Line Purchasing Strategies for an Evolutionary Algorithm Performing Resource-Constrained Optimization. PPSN (2) Richard Allmendinger, Joshua D. Knowles
2008	—	`conf`	Reference Point-Based Particle Swarm Optimization Using a Steady-State Approach. SEAL Richard Allmendinger, Xiaodong Li, Jürgen Branke