Alexandru-Ciprian Zavoianu
Orcid: 0000-0003-1003-7504
According to our database1,
Alexandru-Ciprian Zavoianu
authored at least 30 papers
between 2009 and 2024.
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Bibliography
2024
A Multi-Objective Evolutionary Approach to Discover Explainability Tradeoffs when Using Linear Regression to Effectively Model the Dynamic Thermal Behaviour of Electrical Machines.
ACM Trans. Evol. Learn. Optim., March, 2024
2023
Proceedings of the Artificial Intelligence XL, 2023
Comparison of Simulated Annealing and Evolution Strategies for Optimising Cyclical Rosters with Uneven Demand and Flexible Trainee Placement.
Proceedings of the Artificial Intelligence XL, 2023
2022
Lightweight Interpolation-Based Surrogate Modelling for Multi-objective Continuous Optimisation.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022
On Discovering Optimal Trade-Offs When Introducing New Routes in Existing Multi-modal Public Transport Systems.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022
2021
A soft-computing framework for automated optimization of multiple product quality criteria with application to micro-fluidic chip production.
Appl. Soft Comput., 2021
Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Optimising the introduction of connected and autonomous vehicles in a public transport system using macro-level mobility simulations and evolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks.
Inf. Sci., 2020
Comparative Run-Time Performance of Evolutionary Algorithms on Multi-objective Interpolated Continuous Optimisation Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Critical Analysis of the Suitability of Surrogate Models for Finite Element Method Application in Catalog-Based Suspension Bushing Design.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020
2019
On Modeling the Dynamic Thermal Behavior of Electrical Machines Using Genetic Programming and Artificial Neural Networks.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019
Comparative Analysis of Two Asynchronous Parallelization Variants for a Multi-Objective Coevolutionary Solver.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality.
Eng. Appl. Artif. Intell., 2018
Two enhancements for improving the convergence speed of a robust multi-objective coevolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
Improved fault detection employing hybrid memetic fuzzy modeling and adaptive filters.
Appl. Soft Comput., 2017
Multi-objective knowledge-based strategy for process parameter optimization in Micro-fluidic chip production.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Multi-objective Topology Optimization of Electrical Machine Designs Using Evolutionary Algorithms with Discrete and Real Encodings.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017
Self-Adaptive Time-Series Based Forecast Models for Predicting Quality Criteria in Microfluidics Chip Production.
Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017
2015
Soft Comput., 2015
Performance comparison of generational and steady-state asynchronous multi-objective evolutionary algorithms for computationally-intensive problems.
Knowl. Based Syst., 2015
A Surrogate-Based Strategy for Multi-objective Tolerance Analysis in Electrical Machine Design.
Proceedings of the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015
2014
Hybrid Genetic-Fuzzy Systems for improved performance in Residual-Based Fault Detection.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014
2013
Hybridization of multi-objective evolutionary algorithms and artificial neural networks for optimizing the performance of electrical drives.
Eng. Appl. Artif. Intell., 2013
An Effective Ensemble-Based Method for Creating On-the-Fly Surrogate Fitness Functions for Multi-objective Evolutionary Algorithms.
Proceedings of the 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2013
On the Performance of Master-Slave Parallelization Methods for Multi-Objective Evolutionary Algorithms.
Proceedings of the Artificial Intelligence and Soft Computing, 2013
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013
2012
A Hybrid Soft Computing Approach for Optimizing Design Parameters of Electrical Drives.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012
2011
Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011
2009
Proceedings of the 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2009