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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Antonio, Cc
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2023Maximisation of Bending and Membrane Frequencies of Vibration of Variable Stiffness Composite Laminated Plates by a Genetic Algorithmcitations
- 2023Swarm intelligence hybridized with genetic search in multi-objective design optimization under constrained-Pareto dominancecitations
- 2021Dimensional reduction applied to the reliability-based robust design optimization of composite structurescitations
- 2020Sobol' indices as dimension reduction technique in evolutionary-based reliability assessmentcitations
- 2019Robustness and reliability of composite structures: effects of different sources of uncertaintycitations
- 2019Reliability-based Robust Design Optimization with the Reliability Index Approach applied to composite laminate structurescitations
- 2019Global optimal reliability index of implicit composite laminate structures by evolutionary algorithmscitations
- 2018RESEARCH AND VALIDATION OF GLOBAL MPP IN THE RELIABILITY ANALYSIS OF COMPOSITE STRUCTURES
- 2018MULTI-OBJECTIVE OPTIMIZATION AIMING THE SUSTAINABLE DESIGN OF FRP COMPOSITE STRUCTURES
- 2018A displacement field approach based on FEM-ANN and experiments for identification of elastic properties of compositescitations
- 2017A RBDO APPROACH FOR THE RELIABILITY ASSESSMENT OF COMPOSITE STRUCTURES
- 2016IDENTIFICATION OF ELASTIC PROPERTIES OF ORTHOTROPIC COMPOSITES BASED ON A GENETIC ALGORITHM
- 2010Uncertainty propagation in inverse reliability-based design of composite structurescitations
- 2009A study on synergy of multiple crossover operators in a hierarchical genetic algorithm applied to structural optimisationcitations
- 2008From local to global importance measures of uncertainty propagation in composite structurescitations
- 2005Eliminating forging defects using genetic algorithmscitations
- 2004A study on milling of glass fiber reinforced plastics manufactured by hand-lay up using statistical analysis (ANOVA)citations
- 2004Drilling fiber reinforced plastics (FRPs) manufactured by hand lay-up: influence of matrix (Viapal VUP 9731 and ATLAC 382-05)citations
- 2004Optimization of metal forming processescitations
- 2004Experimental study of drilling glass fiber reinforced plastics (GFRP) manufactured by hand lay-upcitations
Places of action
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article
A study on synergy of multiple crossover operators in a hierarchical genetic algorithm applied to structural optimisation
Abstract
Development of crossover operators is based on three different mechanisms: mating selection mechanism, offspring generation mechanism and offspring selection mechanism. Most crossover operators are able to get exploration or exploitation of the domain depending on the way they handle the current diversity of the population. Each crossover operator directs the search towards a different region in the neighbourhood of the parents. The quality of the elements belonging to the visited region depends on the particular problem to be solved. This is confirmed by the well known No Free Lunch (NFL) theorems. The simultaneous use of diverse crossover operators on the population may induce more efficient algorithms. The aim of this paper is to analyse and to study complementary properties resulting from synergy effects using several crossover operators in particular for a hierarchical genetic algorithm. The reached improvements using multiple crossover operators will be analysed through some standard optimisation examples of hybrid composite structures.