On Sensor Data Simulation. - Alexandru-Ciprian Zavoianu; Ciprian Dorin Craciun (SYNASC, 2009)

Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process. - Alexandru-Ciprian Zavoianu; Gabriel Kronberger; Michael Kommenda; Daniela Zaharie; Michael Affenzeller (EUROCAST (1), 2011)

A Hybrid Soft Computing Approach for Optimizing Design Parameters of Electrical Drives. - Alexandru-Ciprian Zavoianu; Gerd Bramerdorfer; Edwin Lughofer; Siegfried Silber; Wolfgang Amrhein; Erich-Peter Klement (SOCO, 2012)

Efficient Multi-Objective Optimization Using 2-Population Cooperative Coevolution. - Alexandru-Ciprian Zavoianu; Edwin Lughofer; Wolfgang Amrhein; Erich-Peter Klement (EUROCAST (1), 2013)

On the Performance of Master-Slave Parallelization Methods for Multi-Objective Evolutionary Algorithms. - Alexandru-Ciprian Zavoianu; Edwin Lughofer; Werner Koppelstätter; Günther Weidenholzer; Wolfgang Amrhein; Erich-Peter Klement (ICAISC (2), 2013)

An Effective Ensemble-Based Method for Creating On-the-Fly Surrogate Fitness Functions for Multi-objective Evolutionary Algorithms. - Alexandru-Ciprian Zavoianu; Edwin Lughofer; Gerd Bramerdorfer; Wolfgang Amrhein; Erich-Peter Klement (SYNASC, 2013)

Hybridization of multi-objective evolutionary algorithms and artificial neural networks for optimizing the performance of electrical drives. - Alexandru-Ciprian Zavoianu; Gerd Bramerdorfer; Edwin Lughofer; Siegfried Silber; Wolfgang Amrhein; Erich-Peter Klement (Eng. Appl. Artif. Intell., 2013)

Hybrid Genetic-Fuzzy Systems for improved performance in Residual-Based Fault Detection. - Francisco Serdio; Alexandru-Ciprian Zavoianu; Edwin Lughofer; Kurt Pichler; Thomas Buchegger; Hajrudin Efendic (NaBIC, 2014)

A Surrogate-Based Strategy for Multi-objective Tolerance Analysis in Electrical Machine Design. - Alexandru-Ciprian Zavoianu; Edwin Lughofer; Gerd Bramerdorfer; Wolfgang Amrhein; Susanne Saminger-Platz (SYNASC, 2015)

Performance comparison of generational and steady-state asynchronous multi-objective evolutionary algorithms for computationally-intensive problems. - Alexandru-Ciprian Zavoianu; Edwin Lughofer; Werner Koppelstätter; Günther Weidenholzer; Wolfgang Amrhein; Erich-Peter Klement (Knowl. Based Syst., 2015)

DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm. - Alexandru-Ciprian Zavoianu; Edwin Lughofer; Gerd Bramerdorfer; Wolfgang Amrhein; Erich-Peter Klement (Soft Comput., 2015)

Self-Adaptive Time-Series Based Forecast Models for Predicting Quality Criteria in Microfluidics Chip Production. - Edwin Lughofer; Robert Pollak; Alexandru-Ciprian Zavoianu; Pauline Meyer-Heye; Helmut Zörrer; Christian Eitzinger; Julia Haim; Thomas Radauer (CYBCONF, 2017)

Multi-objective Topology Optimization of Electrical Machine Designs Using Evolutionary Algorithms with Discrete and Real Encodings. - Alexandru-Ciprian Zavoianu; Gerd Bramerdorfer; Edwin Lughofer; Susanne Saminger-Platz (EUROCAST (1), 2017)

Multi-objective knowledge-based strategy for process parameter optimization in Micro-fluidic chip production. - Alexandru-Ciprian Zavoianu; Edwin Lughofer; Robert Pollak; Pauline Meyer-Heye; Christian Eitzinger; Thomas Radauer (SSCI, 2017)

Improved fault detection employing hybrid memetic fuzzy modeling and adaptive filters. - Francisco Serdio; Edwin Lughofer; Alexandru-Ciprian Zavoianu; Kurt Pichler; Markus Pichler; Thomas Buchegger; Hajrudin Efendic (Appl. Soft Comput., 2017)

Two enhancements for improving the convergence speed of a robust multi-objective coevolutionary algorithm. - Alexandru-Ciprian Zavoianu; Susanne Saminger-Platz; Edwin Lughofer; Wolfgang Amrhein (GECCO, 2018)

Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality. - Edwin Lughofer; Robert Pollak; Alexandru-Ciprian Zavoianu; Mahardhika Pratama; Pauline Meyer-Heye; Helmut Zörrer; Christian Eitzinger; Julia Haim; Thomas Radauer (Eng. Appl. Artif. Intell., 2018)

Comparative Analysis of Two Asynchronous Parallelization Variants for a Multi-Objective Coevolutionary Solver. - Alexandru-Ciprian Zavoianu; Susanne Saminger-Platz; Wolfgang Amrhein (CEC, 2019)

On Modeling the Dynamic Thermal Behavior of Electrical Machines Using Genetic Programming and Artificial Neural Networks. - Alexandru-Ciprian Zavoianu; Martin Kitzberger; Gerd Bramerdorfer; Susanne Saminger-Platz (EUROCAST (1), 2019)

Critical Analysis of the Suitability of Surrogate Models for Finite Element Method Application in Catalog-Based Suspension Bushing Design. - Carlos Cernuda; Iñigo Llavori; Alexandru-Ciprian Zavoianu; Aitor Aguirre; Alaitz Zabala; Jon Plaza (ETFA, 2020)

Comparative Run-Time Performance of Evolutionary Algorithms on Multi-objective Interpolated Continuous Optimisation Problems. - Alexandru-Ciprian Zavoianu; Benjamin Lacroix; John McCall 001 (PPSN (1), 2020)

On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks. - Edwin Lughofer; Alexandru-Ciprian Zavoianu; Robert Pollak; Mahardhika Pratama; Pauline Meyer-Heye; Helmut Zörrer; Christian Eitzinger; Thomas Radauer (Inf. Sci., 2020)

Optimising the introduction of connected and autonomous vehicles in a public transport system using macro-level mobility simulations and evolutionary algorithms. - Kate Han; Lee A. Christie; Alexandru-Ciprian Zavoianu; John McCall 001 (GECCO Companion, 2021)

Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems. - Arnaud Liefooghe; Sébastien Vérel; Benjamin Lacroix; Alexandru-Ciprian Zavoianu; John A. W. McCall (GECCO, 2021)

A soft-computing framework for automated optimization of multiple product quality criteria with application to micro-fluidic chip production. - Alexandru-Ciprian Zavoianu; Edwin Lughofer; Robert Pollak; Christian Eitzinger; Thomas Radauer (Appl. Soft Comput., 2021)

On Discovering Optimal Trade-Offs When Introducing New Routes in Existing Multi-modal Public Transport Systems. - Kate Han; Lee A. Christie; Alexandru-Ciprian Zavoianu; John McCall 001 (EUROCAST, 2022)

Lightweight Interpolation-Based Surrogate Modelling for Multi-objective Continuous Optimisation. - Alexandru-Ciprian Zavoianu; Benjamin Lacroix; John McCall 001 (EUROCAST, 2022)

Comparison of Simulated Annealing and Evolution Strategies for Optimising Cyclical Rosters with Uneven Demand and Flexible Trainee Placement. - Joseph Collins; Alexandru-Ciprian Zavoianu; John A. W. McCall (SGAI Conf., 2023)

Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures. - Martin Fyvie; John A. W. McCall; Lee A. Christie; Alexandru-Ciprian Zavoianu; Alexander E. I. Brownlee; Russell Ainslie (SGAI Conf., 2023)

Optimising Linear Regression for Modelling the Dynamic Thermal Behaviour of Electrical Machines using NSGA-II, NSGA-III and MOEA/D. - Tiwonge Msulira Banda; Alexandru-Ciprian Zavoianu; Andrei Petrovski 001; Daniel Wöckinger; Gerd Bramerdorfer (SYNASC, 2023)

Optimising Public Transport Through the Integration of Micro and Macro-level Simulations. - Kate Han; Lee A. Christie; Alexandru-Ciprian Zavoianu; John A. W. McCall (EUROCAST (1), 2024)

Cost and Performance Comparison of Holistic Solution Approaches for Complex Supply Chains on a Novel Linked Problem Benchmark. - Akinola Ogunsemi; John A. W. McCall; Alexandru-Ciprian Zavoianu; Lee A. Christie (GECCO, 2024)

On the Multi-objective Optimization of Wind Farm Cable Layouts with Regard to Cost and Robustness. - Lee A. Christie; Atakan Sahin; Akinola Ogunsemi; Alexandru-Ciprian Zavoianu; John A. W. McCall (PPSN (4), 2024)

A Dominance-Based Surrogate Classifier for Multi-objective Evolutionary Algorithms. - Tiwonge Msulira Banda; Alexandru-Ciprian Zavoianu (SGAI Conf. (1), 2024)

A Multi-Objective Evolutionary Approach to Discover Explainability Tradeoffs when Using Linear Regression to Effectively Model the Dynamic Thermal Behaviour of Electrical Machines. - Tiwonge Msulira Banda; Alexandru-Ciprian Zavoianu; Andrei Petrovski 001; Daniel Wöckinger; Gerd Bramerdorfer (ACM Trans. Evol. Learn. Optim., 2024)

Exploring Representations for Optimizing Connected Autonomous Vehicle Routes in Multi-Modal Transport Networks Using Evolutionary Algorithms. - Kate Han; Lee A. Christie; Alexandru-Ciprian Zavoianu; John A. W. McCall (IEEE Trans. Intell. Transp. Syst., 2024)