Search results for "Timo"
showing 10 items of 2111 documents
Solving classification problems with multicriteria decision aiding approaches
2007
Iryna Yevseyevan väitöskirjan aiheena on päätöksentekijän avustaminen hänen ratkaistessaan vaativia ja monimutkaisia luokittelutehtäviä. Tällaisia tehtäviä esiintyy erityyppisessä diagnostiikassa, esimerkiksi lääketieteen alalla lääkärin diagnosoidessa potilasta, tekniikan alalla insinöörin määrittäessä koneen rikkoutumisen syytä tai talouden alalla sijoittajan arvioidessa riskejä ennen sijoituspäätöstä.Yevseyevan tutkimat ja kehittämät menetelmät ovat avuksi silloin, kun luokittelupäätökset ovat riippuvaisia päätöksentekijän subjektiivisesta tietämyksestä, intuitiosta ja mieltymyksistä. Esitetyt menetelmät mahdollistavat ongelmakentän määrittelyn ja formalisoinnin, ja lisäksi ne tarjoavat …
La forma monetaria della città. I quartieri limitrofi allo Zen di Palermo
2012
Ogni città possiede una sua forma temporale e monetaria di-segnata dal valore degli immobili, che è in continuo dis-equilibrio dinamico e che, riflettendo in ogni momento il sistema dei valori sociali, economici e culturali condivisi da una comunità, si muove su un piano di lettura che integra e completa la conoscenza proveniente dalle discipline dell’architettura. La complessità del mercato immobiliare urbano è stata indagata attraverso lo studio delle caratteristiche dei segmenti di mercato che sono presenti nei quartieri limitrofi allo ZEN di Palermo e ha condotto alla individuazione dei range di variazione dei valori di offerta relativi ai diversi segmenti. Questi valori di mercato poss…
La selta del biologico tra crisi economica e crisi alimentare: il caso del mercato di Palermo
2009
Abstract A partire dalla seconda metà del 2008 la crisi finanziaria che ha colpito l’economia mondiale, ha determinato la stagnazione dei consumi alimentari e un cambiamento nel comportamento di acquisto dei consumatori. La preoccupazione per il futuro e la riduzione del reddito disponibile, che limita la capacità di acquisto delle famiglie, hanno determinato variazioni sulla spesa alimentare in relazione sia ai quantitativi che alla composizione del paniere. Alla preoccupazione per la crisi economica, si accompagna quella per la contaminazione dei cibi causata dal susseguirsi nel tempo di numerosi scandali alimentari (mucca pazza, influenza aviaria, melamina nel latte cinese, formaggi cont…
Parallel global optimization : structuring populations in differential evolution
2010
On automatic algorithm configuration of vehicle routing problem solvers
2019
Many of the algorithms for solving vehicle routing problems expose parameters that strongly influence the quality of obtained solutions and the performance of the algorithm. Finding good values for these parameters is a tedious task that requires experimentation and experience. Therefore, methods that automate the process of algorithm configuration have received growing attention. In this paper, we present a comprehensive study to critically evaluate and compare the capabilities and suitability of seven state-of-the-art methods in configuring vehicle routing metaheuristics. The configuration target is the solution quality of eight metaheuristics solving two vehicle routing problem variants.…
Sorption of V and VI group metalloids (As, Sb, Te) on modified peat sorbents
2016
AbstractThe present work investigates arsenic, antimony and tellurium sorption using iron modified peat. The results were obtained using batch tests and the sorption was studied as a function of initial metalloid concentration, pH and sorption time, as well as the presence of competing substances. The obtained results indicate that modification of peat with Fe compounds significantly enhances the sorption capacity of the sorbents used for sorption of arsenic, antimony and tellurium. The optimal pH interval for the sorption of Sb(III) is 6.5–9 and for As(V) and Sb(V) – 3–6, while As(III) and tellurium sorption using Fe-modified peat is favourable in a wider interval of 3–9. The presence of c…
V un VI grupas metaloīdu sorbcijas izpēte uz modificētiem biomateriālu sorbentiem
2015
Promocijas darbā veikta augstas pievienotās vērtības sorbentu izstrāde, izmantojot vienu no Latvijas nozīmīgākajiem vietējiem derīgajiem izrakteņiem, un pētītas to izmantošanas iespējas. Promocijas darbā sintezēti sorbenti, kuru pamatā ir biomateriāli, kas modificēti ar dzelzs savienojumiem. Izvērtētas kūdras kā sorbenta izmantošanas iespējas, kā arī pētītas kūdras modificēšanas metodes un to ietekme uz sorbcijas kapacitāti. Bez kūdras izmantoti arī tādi materiāli kā sūnas, skaidas, salmi, niedres, humīnskābes un salīdzinājumam arī smiltis, kas arī modificēti ar dzelzs savienojumiem. Sintezētie sorbenti raksturoti, izmantojot skenējošo elektronmikroskopiju (SEM), Furjē tanformācijas infrasa…
Interactive data-driven multiobjective optimization of metallurgical properties of microalloyed steels using the DESDEO framework
2023
Solving real-life data-driven multiobjective optimization problems involves many complicated challenges. These challenges include preprocessing the data, modelling the objective functions, getting a meaningful formulation of the problem, and supporting decision makers to find preferred solutions in the existence of conflicting objective functions. In this paper, we tackle the problem of optimizing the composition of microalloyed steels to get good mechanical properties such as yield strength, percentage elongation, and Charpy energy. We formulate a problem with six objective functions based on data available and support two decision makers in finding a solution that satisfies them both. To …
A Multiple Surrogate Assisted Decomposition Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization
2019
Many-objective optimization problems (MaOPs) contain four or more conflicting objectives to be optimized. A number of efficient decomposition-based evolutionary algorithms have been developed in the recent years to solve them. However, computationally expensive MaOPs have been scarcely investigated. Typically, surrogate-assisted methods have been used in the literature to tackle computationally expensive problems, but such studies have largely focused on problems with 1–3 objectives. In this paper, we present an approach called hybrid surrogate-assisted many-objective evolutionary algorithm to solve computationally expensive MaOPs. The key features of the approach include: 1) the use of mul…