Add to ORKGI was invited to the third PhD Olympiad of ECCOMAS as a finalist of the ECCOMAS award for the best PhD Theses 2012.International audienceIn the framework of my Ph.D. course, I developed a novel Multi-objective Evolutionary Algorithm (MOEA), namely the GeDEA-II, which features a Simplex-based crossover operator. The comparison among GeDEA-II and three modern elitist methods, on state-of-the-art multi-objective problems, clearly indicates that the performance of GeDEA-II is superior. Finally, a test case is presented, regarding the aerodynamic shape optimization of the AgustaWestland 101 helicopter left air intake
A large-scale, real-world application of Evolutionary Multi-Objective Optimization is reported. The ...
This paper describes the practical application of Hierarchical Asynchronous Parallel Evolutionary Al...
This paper describes the development of a preliminary aircraft design application employing the conc...
I was invited to the third PhD Olympiad of ECCOMAS as a finalist of the ECCOMAS award for the best P...
In this paper, a fast and effective CFD-based automatic loop for optimization of rotorcraft componen...
The aim of this Doctoral Thesis, sponsored by AgustaWestland, is the design and development of a mul...
Aerodynamic design and optimization of engine installation is a pivotal part of the helicopter desig...
The present work describes the overall optimization strategy that has been adopted for the enhanceme...
The present work aims at introducing a fast and effective CFD-based automatic loop for optimization ...
International audienceSubsystems of rotary-wing aircrafts, such as helicopters for instance, are str...
This work focuses on the implementation of a complex multidisciplinary computational environment for...
The implementation and use of a framework in which engineering optimization problems can be analysed...
This thesis presents a modern evolutionary technique for design and optimisation in aeronautics, wi...
Subsystems of rotary-wing aircrafts, such as helicopters for instance, are strongly interrelated due...
Abstract: Search for safety and high efficiency is the driving force in the aerospace industry. This...
A large-scale, real-world application of Evolutionary Multi-Objective Optimization is reported. The ...
This paper describes the practical application of Hierarchical Asynchronous Parallel Evolutionary Al...
This paper describes the development of a preliminary aircraft design application employing the conc...
I was invited to the third PhD Olympiad of ECCOMAS as a finalist of the ECCOMAS award for the best P...
In this paper, a fast and effective CFD-based automatic loop for optimization of rotorcraft componen...
The aim of this Doctoral Thesis, sponsored by AgustaWestland, is the design and development of a mul...
Aerodynamic design and optimization of engine installation is a pivotal part of the helicopter desig...
The present work describes the overall optimization strategy that has been adopted for the enhanceme...
The present work aims at introducing a fast and effective CFD-based automatic loop for optimization ...
International audienceSubsystems of rotary-wing aircrafts, such as helicopters for instance, are str...
This work focuses on the implementation of a complex multidisciplinary computational environment for...
The implementation and use of a framework in which engineering optimization problems can be analysed...
This thesis presents a modern evolutionary technique for design and optimisation in aeronautics, wi...
Subsystems of rotary-wing aircrafts, such as helicopters for instance, are strongly interrelated due...
Abstract: Search for safety and high efficiency is the driving force in the aerospace industry. This...
A large-scale, real-world application of Evolutionary Multi-Objective Optimization is reported. The ...
This paper describes the practical application of Hierarchical Asynchronous Parallel Evolutionary Al...
This paper describes the development of a preliminary aircraft design application employing the conc...