Alexandru-Ciprian Zavoianu

Orcid: 0000-0003-1003-7504

According to our database1, Alexandru-Ciprian Zavoianu authored at least 34 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Exploring Representations for Optimizing Connected Autonomous Vehicle Routes in Multi-Modal Transport Networks Using Evolutionary Algorithms.
IEEE Trans. Intell. Transp. Syst., September, 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

On the Multi-objective Optimization of Wind Farm Cable Layouts with Regard to Cost and Robustness.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Cost and Performance Comparison of Holistic Solution Approaches for Complex Supply Chains on a Novel Linked Problem Benchmark.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023
Optimising Linear Regression for Modelling the Dynamic Thermal Behaviour of Electrical Machines using NSGA-II, NSGA-III and MOEA/D.
Proceedings of the 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2023

Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures.
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
DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm.
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

Efficient Multi-Objective Optimization Using 2-Population Cooperative Coevolution.
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
On Sensor Data Simulation.
Proceedings of the 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2009


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