Search results for "tavoite"
showing 10 items of 143 documents
Surrogate assisted interactive multiobjective optimization in energy system design of buildings
2022
In this paper, we develop a novel evolutionary interactive method called interactive K-RVEA, which is suitable for computationally expensive problems. We use surrogate models to replace the original expensive objective functions to reduce the computation time. Typically, in interactive methods, a decision maker provides some preferences iteratively and the optimization algorithm narrows the search according to those preferences. However, working with surrogate model swill introduce some inaccuracy to the preferences, and therefore, it would be desirable that the decision maker can work with the solutions that are evaluated with the original objective functions. Therefore, we propose a novel…
Data-driven Interactive Multiobjective Optimization : Challenges and a Generic Multi-agent Architecture
2020
In many decision making problems, a decision maker needs computer support in finding a good compromise between multiple conflicting objectives that need to be optimized simultaneously. Interactive multiobjective optimization methods have a lot of potential for solving such problems. However, the growth of complexity in problem formulations and the abundance of data bring new challenges to be addressed by decision makers and method developers. On the other hand, advances in the field of artificial intelligence provide opportunities in this respect. We identify challenges and propose directions of addressing them in interactive multiobjective optimization methods with the help of multiple int…
Interactive evolutionary multiobjective optimization with modular physical user interface
2022
© 2022 Copyright held by the owner/author(s). Incorporating the preferences of a domain expert, a decision-maker (DM), in solving multiobjective optimization problems increased in popularity in recent years. The DM can choose to use different types of preferences depending on his/her comfort, requirements, or the problem being solved. Most papers, where preference-based and interactive algorithms have been proposed, do not pay attention to the user interfaces and input devices. If they do, they use character or graphics-based preference input methods. We propose the option of using a physical or tactile input device that gives the DM a better sense of control over providing his/her preferen…
On approaches for solving computationally expensive multiobjective optimization problems
2016
In this thesis, we consider solving computationally expensive multiobjective optimization problems that take into account the preferences of a decision maker (DM). The aim is to support the DM in identifying the most preferred solution for problems that have several conflicting objectives and when the evaluation of the candidate solutions is time consuming. This is conducted by replacing computationally expensive functions with computationally inexpensive functions, known as surrogates. First, based on a literature survey, we introduce two frameworks, i.e., a sequential and an adaptive framework, based on which surrogate-based methods are classified and compared. We then identify relevant cha…
Future wood demands and ecosystem services trade-offs: A policy analysis in Norway
2023
To mitigate climate change, several European countries have launched policies to promote the development of a renewable resource-based bioeconomy. These bioeconomy strategies plan to use renewable biological resources, which will increase timber and biomass demands and will potentially conflict with multiple other ecosystem services provided by forests. In addition, these forest ecosystem services (FES) are also influenced by other, different, policy strategies, causing a potential mismatch in proposed management solutions for achieving the different policy goals. We evaluated how Norwegian forests can meet the projected wood and biomass demands from the international market for achieving m…
Tukihenkilö- ja tukiperhetoiminnan tarvetta ilmentävät kuormitustekijät ja toiminnalle asetetut tavoitteet
2022
Kaksi tyypillistä lapsi- ja perhesosiaalityön tukimuotoa ovat tukihenkilö- ja tukiperhetoiminta. Tukitoimia on perinteisesti lähestytty rinnakkaisina palveluina, joille on yhteistä niiden perustuminen lapsen ja vapaaehtoisen maallikkotoimijan välille syntyvään vuorovaikutussuhteeseen. Artikkelissa tarkastellaan tuen tarvetta ilmentäviä kuormitustekijöitä, tukisuhdetoiminnalle asetettuja tavoitteita sekä toiminnan rinnalla tyypillisimmin käytettyjä palveluita. Tarkastelu perustuu valtakunnalliseen sosiaalialan tukisuhdetoiminnan ammattilaisille suunnattuun kyselyyn. Tulokset osoittavat, että lasten ja perheiden tuen tarvetta ilmentävät kuormitustekijät ovat hyvin samankaltaisia sekä tukihenk…
Miten henkilökohtaiset työtavoitteet ovat yhteydessä työn intohimoon
2017
Tässä tutkimuksessa tarkastelimme toimihenkilöiden henkilökohtaisia työtavoitteita sekä niiden yhteyttä harmoniseen ja pakonomaiseen työn intohimoon. Tutkimme suomalaisia toimihenkilöitä (n = 266, keski-ikä 39, kh = 3,3, vaihteluväli 31 – 44), jotka osallistuivat poikkileikkaustutkimukseen vuonna 2014. Tutkittavista 80,5 % oli miehiä ja esimiesasemassa työskenteli 70,7 %. Henkilökohtaisia työtavoitteita kartoitettiin avoimella kysymyksellä, ja työn intohimoa 12-osioisella kyselyllä. Henkilökohtaiset työtavoitteet luokiteltiin seitsemään luokkaan: pätevyys (24,4 %), hyvinvointi (20,9 %), organisaatio (15,8 %), työn vaihto (13,3, %), raha (10,0 %), urakehitys (9,6 %) ja työn varmuus (6,0 %). …
A Systematic Way of Structuring Real-World Multiobjective Optimization Problems
2023
In recent decades, the benefits of applying multiobjective optimization (MOO) methods in real-world applications have rapidly increased. The MOO literature mostly focuses on problem-solving, typically assuming the problem has already been correctly formulated. The necessity of verifying the MOO problem and the potential impacts of having an incorrect problem formulation on the optimization results are not emphasized enough in the literature. However, verification is crucial since the optimization results will not be meaningful without an accurate problem formulation, not to mention the resources spent in the optimization process being wasted. In this paper, we focus on the MOO problem struc…