A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts

Copyright © 2005 Springer Verlag. The final publication is available at link.springer.com3rd International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005. ProceedingsBook title: Evolutionary Multi-Criterion OptimizationIn extending the Particle Swarm Optimisation methodology to multi-objective problems it is unclear how global guides for particles should be selected. Previous work has relied on metric information in objective space, although this is at variance with the notion of dominance which is used to assess the quality of solutions. Here we propose methods based exclusively on dominance for selecting guides from a non-dominated archive. The methods are evaluated on standard test problems and we find that probabilistic selection favouring archival particles that dominate few particles provides good convergence towards and coverage of the Pareto front. We demonstrate that the scheme is robust to changes in objective scaling. We propose and evaluate methods for confining particles to the feasible region, and find that allowing particles to explore regions close to the constraint boundaries is important to ensure convergence to the Pareto front

Influence of the fiber direction on the tribological behavior of carbon-fiber reinforced epoxy composites manufactured by prepeg laminates

In this work, friction behavior of different carbon fiber-epoxy composites is evaluated. Linear friction tests are carried out and wear behaviour has been established from several parameters as wear depth, wear band width and macrostructural observation. The experimental variables considered were load (10-40N) and the fiber orientation with respect to the sliding direction (0°, 90° and multidirectional). Layers with the fiber oriented in the sliding direction showed larger wear due to cracks existing in the fibermatrix interface once the wear depth reached the fibers. The best results were obtained in those cases in which no influence of the resin matrix existed

Sustitución con cromo en Li3Fe2(PO4)3 obtenido mediante intercambio iónico y sus efectos sobre el comportamiento electroquímico en baterías de litio

III Encuentro sobre Nanociencia y Nanotecnología de Investigadores y Tecnólogos Andaluce

Preference incorporation in MOEA/D using an outranking approach with imprecise model parameters

Multi-objective Optimization Evolutionary Algorithms (MOEAs) face numerous challenges when they are used to solve Many-objective Optimization Problems (MaOPs). Decomposition-based strategies, such as MOEA/D, divide an MaOP into multiple single-optimization sub-problems, achieving better diversity and a better approximation of the Pareto front, and dealing with some of the challenges of MaOPs. However, these approaches still require one to solve a multi-criteria selection problem that will allow a Decision-Maker (DM) to choose the final solution. Incorporating preferences may provide results that are closer to the region of interest of a DM. Most of the proposals to integrate preferences in decomposition-based MOEAs prefer progressive articulation over the “a priori” incorporation of preferences. Progressive articulation methods can hardly work without comparable and transitive preferences, and they can significantly increase the cognitive effort required of a DM. On the other hand, the “a priori” strategies do not demand transitive judgements from the DM but require a direct parameter elicitation that usually is subject to imprecision. Outranking approaches have properties that allow them to suitably handle non-transitive preferences, veto conditions, and incomparability, which are typical characteristics of many real DMs. This paper explores how to incorporate DM preferences into MOEA/D using the “a priori” incorporation of preferences, based on interval outranking relations, to handle imprecision when preference parameters are elicited. Several experiments make it possible to analyze the proposal's performance on benchmark problems and to compare the results with the classic MOEA/D without preference incorporation and with a recent, state-of-the-art preference-based decomposition algorithm. In many instances, our results are closer to the Region of Interest, particularly when the number of objectives increases

Everolimus dosing recommendations for tuberous sclerosis complex–associated refractory seizures

ObjectiveThe present analysis examined the exposure-response relationship by means of the predose everolimus concentration (C-min) and the seizure response in patients with tuberous sclerosis complex-associated seizures in the EXIST-3 study. Recommendations have been made for the target C-min range of everolimus for therapeutic drug monitoring (TDM) and the doses necessary to achieve this target C-min

An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences

Many-objective optimization is an area of interest common to researchers, professionals, and practitioners because of its real-world implications. Preference incorporation into Multi-Objective Evolutionary Algorithms (MOEAs) is one of the current approaches to treat Many-Objective Optimization Problems (MaOPs). Some recent studies have focused on the advantages of embedding preference models based on interval outranking into MOEAs; several models have been proposed to achieve it. Since there are many factors influencing the choice of the best outranking model, there is no clear notion of which is the best model to incorporate the preferences of the decision maker into a particular problem. This paper proposes a hyper-heuristic algorithm—named HyperACO—that searches for the best combination of several interval outranking models embedded into MOEAs to solve MaOPs. HyperACO is able not only to select the most appropriate model but also to combine the already existing models to solve a specific MaOP correctly. The results obtained on the DTLZ and WFG test suites corroborate that HyperACO can hybridize MOEAs with a combined preference model that is suitable to the problem being solved. Performance comparisons with other state-of-the-art MOEAs and tests for statistical significance validate this conclusion

Sicherung der logistikqualität

Der nachfolgende Beitrag beleuchtet einen Forschungs- und Ausbildungsschwerpunkt der drei kooperierenden Universitäten. Dabei geht es um die Erforschung der Nutzung des Methoden vorrats (Vgl. [1]) von Qualitätsmanagement und Logistik im jeweils anderen Applikationsbereich. Die Forschungsarbeiten werden seit 2003 systematisch und arbeitsteilig durch-geführt. Durch synergetische Verknüpfung und zu leistende Systematisierungen sollen die bekannten Einsatzgebiete erweitert bzw. modifiziert sowie gänzlich neue Einsatzgebiete erschlossen werden. Gleichzeitig soll ein wesentlicher Beitrag zur Sicherung der Qualität in der Logistik geleistet werden.Um das gesammelte Wissen unmittelbar in der Aus- und Weiterbildung zu nutzen, wurde das Manuskript für ein gemeinsames Lehrbuch „Qualitätssicherung in der Logistik“ in den Sprachen ungarisch und deutsch fertig gestellt. Darüber hinaus werden erprobte Methoden in die gemeinsame webbasierte Methodendatenbank mlog eingestellt und für eine multivariate Nutzung zur Verfügung gestellt.Дана робота висвітлює дослідницькі й освітні завдання трьох університетів, що співробітничають між собою. При цьому мова йде про дослідження використання наявностей, що є в наявності (див [1]) керування якістю й логістики в інших сферах застосування. Дослідницькі роботи ведуться з 2003 року систематично й на основі поділу праці. Шляхом синегретического об'єднання й систематизації варто розширити, тобто модифікувати відомі області застосування, а також відкрити зовсім нові області застосування. Одночасно варто внести значний вклад у забезпечення якості в логістиці. Для того щоб використати накопичені знання безпосередньо в процесі навчання або підвищення кваліфікації, був підготовлений рукопис для загального навчального посібника "Забезпечення якості в логістиці" на угорській і німецькій мовах. Із цією метою були встановлені випробувані методи в електронному банку даних, які були підготовлені для безпосереднього використання

White light generation and anisotropic damage in gold films near percolation threshold

Strongly enhanced and confined electromagnetic fields generated in metal nanostructures upon illumination are exploited in many emerging technologies by either fabricating sophisticated nanostructures or synthesizing colloid nanoparticles. Here we study effects driven by field enhancement in vanishingly small gaps between gold islands in thin films near the electrically determined percolation threshold. Optical explorations using two-photon luminescence (TPL) and near-field microscopies reveals super-cubic TPL power dependencies with white-light spectra, establishing unequivocally that the strongest TPL signals are generated with close to the percolation threshold films, and occurrence of extremely confined (~ 30 nm)and strongly enhanced (~ 100 times) fields at the illumination wavelength. For linearly polarized and sufficiently powerful light, we observe pronounced optical damage with TPL images being sensitive to both wavelength and polarization of illuminating light. We relate these effects to thermally induced morphological changes observed with scanning electron microscopy images. Fascinating physics involved in light interaction with near-percolation metal films along with their straightforward and scalable one-step fabrication procedure promises a wide range of fascinating developments and technological applications within diverse areas of modern nanotechnology, from bio-molecule optical sensing to ultra-dense optical data storage.Comment: 42 pages in total of the main (27 pages) and supplementary (15 pages) material with 4 main and 10 supplementary figure