Alexandru-Ciprian Zavoianu

发表

DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm

Edwin Lughofer, Wolfgang Amrhein, Erich-Peter Klement, 2014, Soft Computing.

On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks

Mahardhika Pratama, Edwin Lughofer, Christian Eitzinger, 2020, Inf. Sci..

On Modeling the Dynamic Thermal Behavior of Electrical Machines Using Genetic Programming and Artificial Neural Networks

Alexandru-Ciprian Zavoianu, Gerd Bramerdorfer, Martin Kitzberger, 2019, EUROCAST.

Comparative Analysis of Two Asynchronous Parallelization Variants for a Multi-Objective Coevolutionary Solver

Wolfgang Amrhein, Alexandru-Ciprian Zavoianu, Susanne Saminger-Platz, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Multi-objective Topology Optimization of Electrical Machine Designs Using Evolutionary Algorithms with Discrete and Real Encodings

Edwin Lughofer, Alexandru-Ciprian Zavoianu, Gerd Bramerdorfer, 2017, EUROCAST.

Multi-Objective Optimal Design of Variably Constrained 2D Path Network Layouts with Application to Ascent Assembly Engineering

Martin Schwarz, Thorsten Prante, Alexandru-Ciprian Zavoianu, 2018 .

Efficient Multi-Objective Optimization Using 2-Population Cooperative Coevolution

Edwin Lughofer, Wolfgang Amrhein, Erich-Peter Klement, 2013, EUROCAST.

Automated Process Optimization in Manufacturing Systems Based on Static and Dynamic Prediction Models

Mahardhika Pratama, Edwin Lughofer, Alexandru-Ciprian Zavoianu, 2019, Predictive Maintenance in Dynamic Systems.

Hybridization of multi-objective evolutionary algorithms and artificial neural networks for optimizing the performance of electrical drives

Edwin Lughofer, Wolfgang Amrhein, Erich-Peter Klement, 2013, Eng. Appl. Artif. Intell..

Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality

Edwin Lughofer, Christian Eitzinger, Alexandru-Ciprian Zavoianu, 2018, Eng. Appl. Artif. Intell..

Possibilities for Speeding Up the FE-Based Optimization of Electrical Machines—A Case Study

Edwin Lughofer, Wolfgang Amrhein, Alexandru-Ciprian Zavoianu, 2016, IEEE Transactions on Industry Applications.

Self-Adaptive Time-Series Based Forecast Models for Predicting Quality Criteria in Microfluidics Chip Production

Edwin Lughofer, Christian Eitzinger, Alexandru-Ciprian Zavoianu, 2017, 2017 3rd IEEE International Conference on Cybernetics (CYBCON).

Multi-objective knowledge-based strategy for process parameter optimization in Micro-fluidic chip production

Edwin Lughofer, Christian Eitzinger, Alexandru-Ciprian Zavoianu, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

An Effective Ensemble-Based Method for Creating On-the-Fly Surrogate Fitness Functions for Multi-objective Evolutionary Algorithms

Edwin Lughofer, Wolfgang Amrhein, Erich-Peter Klement, 2013, 2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

On Sensor Data Simulation

Alexandru-Ciprian Zavoianu, Ciprian Craciun, 2009, 2009 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

Improved fault detection employing hybrid memetic fuzzy modeling and adaptive filters

Edwin Lughofer, Alexandru-Ciprian Zavoianu, Markus Pichler, 2017, Appl. Soft Comput..

Performance comparison of generational and steady-state asynchronous multi-objective evolutionary algorithms for computationally-intensive problems

Edwin Lughofer, Wolfgang Amrhein, Erich-Peter Klement, 2015, Knowl. Based Syst..

Two enhancements for improving the convergence speed of a robust multi-objective coevolutionary algorithm

Edwin Lughofer, Wolfgang Amrhein, Alexandru-Ciprian Zavoianu, 2018, GECCO.

A Hybrid Soft Computing Approach for Optimizing Design Parameters of Electrical Drives

Edwin Lughofer, Wolfgang Amrhein, Erich-Peter Klement, 2012, SOCO.

A Surrogate-Based Strategy for Multi-objective Tolerance Analysis in Electrical Machine Design

Edwin Lughofer, Wolfgang Amrhein, Alexandru-Ciprian Zavoianu, 2015, 2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).

Autonomous supervision and optimization of product quality in a multi-stage manufacturing process based on self-adaptive prediction models

Mahardhika Pratama, Edwin Lughofer, Christian Eitzinger, 2019, Journal of Process Control.

Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process

Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, 2011, EUROCAST.

Hybrid Genetic-Fuzzy Systems for improved performance in Residual-Based Fault Detection

Edwin Lughofer, Alexandru-Ciprian Zavoianu, Thomas Buchegger, 2014, 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014).

On the Performance of Master-Slave Parallelization Methods for Multi-Objective Evolutionary Algorithms

Edwin Lughofer, Wolfgang Amrhein, Erich-Peter Klement, 2013, ICAISC.

Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems

Sébastien Vérel, Arnaud Liefooghe, Alexandru-Ciprian Zavoianu, 2021, GECCO.

Optimising the introduction of connected and autonomous vehicles in a public transport system using macro-level mobility simulations and evolutionary algorithms

John McCall, Alexandru-Ciprian Zavoianu, Lee A. Christie, 2021, GECCO Companion.