Výsledky vyhledávání - "Vesa Ojalehto"

Akademický článek

An Approach to the Automatic Comparison of Reference Point-Based Interactive Methods for Multiobjective Optimization

Autor: Dmitry Podkopaev, Kaisa Miettinen, Vesa Ojalehto

Publikováno v: IEEE Access, Vol 9, Pp 150037-150048 (2021)

Solving multiobjective optimization problems means finding the best balance among multiple conflicting objectives. This needs preference information from a decision maker who is a domain expert. In interactive methods, the decision maker takes part i

Externí odkaz: https://doaj.org/article/ae9a657db71d4dc18f9c2f616b67f2b3

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Comparing reference point based interactive multiobjective optimization methods without a human decision maker

Autor: Lu Chen, Kaisa Miettinen, Bin Xin, Vesa Ojalehto

Publikováno v: Journal of Global Optimization. 85:757-788

Interactive multiobjective optimization methods have proven promising in solving optimization problems with conflicting objectives since they iteratively incorporate preference information of a decision maker in the search for the most preferred solu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84cf74ec049ffbe93289af7bc019e0dd
https://doi.org/10.1007/s10898-022-01230-3

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Potential of interactive multiobjective optimization in supporting the design of a groundwater biodenitrification process

Autor: Jussi Hakanen, Kaisa Miettinen, Markus Hartikainen, Giulia Saccani, Vesa Ojalehto, Karthik Sindhya, Manuela Antonelli

The design of water treatment plants requires simultaneous analysis of technical, economic and environmental aspects, identified by multiple conflicting objectives. We demonstrated the advantages of an interactive multiobjective optimization (MOO) me

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6eb9c2e7c78461591d9ab9a2072f8c2
http://hdl.handle.net/11311/1123817

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NAUTILUS Navigator : free search interactive multiobjective optimization without trading-off

Autor: Francisco Ruiz, Kaisa Miettinen, Laura Delgado-Antequera, Vesa Ojalehto, Ana Belen Ruiz

We propose a novel combination of an interactive multiobjective navigation method and a trade-off free way of asking and presenting preference information. The NAUTILUS Navigator is a method that enables the decision maker (DM) to navigate in real ti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f42867bba7655aa9dfe4b3760e51a57d
http://urn.fi/URN:NBN:fi:jyu-201905272822

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DESDEO : An Open Framework for Interactive Multiobjective Optimization

Autor: Vesa Ojalehto, Kaisa Miettinen

Publikováno v: International Series in Operations Research & Management Science ISBN: 9783319993034

We introduce a framework for interactive multiobjective optimization methods called DESDEO released under an open source license. With the framework, we want to make interactive methods easily accessible to be applied in solving real-world problems.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2453ce99514c99364db12a8560d2e4ec
http://urn.fi/URN:NBN:fi:jyu-201901091122

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Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space

Autor: Jose Malmberg, Kyle Eyvindson, Jussi Hakanen, Vesa Ojalehto

Publikováno v: Machine Learning, Optimization, and Data Science ISBN: 9783030137083
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In this paper, a clustering based surrogate is proposed to be used in offline data-driven multiobjective optimization to reduce the size of the optimization problem in the decision space. The surrogate is combined with an interactive multiobjective o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5336f93510f6a43dd98928b1d6d7593
http://urn.fi/URN:NBN:fi:jyu-201911214960

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Flexible Data Driven Inventory Management with Interactive Multiobjective Lot Size Optimization

Autor: Vesa Ojalehto, Juha Sipilä, Kaisa Miettinen, Risto Heikkinen

Publikováno v: International Journal of Logistics Systems and Management. 1:1

We study data-driven decision support and formalise a path from data to decision making. We focus on lot sizing in inventory management with stochastic demand and propose an interactive multi-objective optimisation approach. We forecast demand with a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91ff5379ab29fa941ec5ddef4356b49b
https://doi.org/10.1504/ijlsm.2021.10042370

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Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies

Autor: Vesa Ojalehto, Richard Allmendinger, Kaisa Miettinen, Tinkle Chugh

Publikováno v: GECCO
chugh, T, Allmendinger, R, Ojalehto, V & Miettinen, K 2018, Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies . in Proceedings of the 2018 Genetic and Evolutionary Computation Conference (GECCO 2018) . Association for Computing Machinery . https://doi.org/10.1145/3205455.3205514

We consider multiobjective optimization problems where objective functions have different (or heterogeneous) evaluation times or latencies. This is of great relevance for (computationally) expensive multiobjective optimization as there is no reason t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da29df71a1a84acf0a4bc4ff4680b288
http://urn.fi/URN:NBN:fi:jyu-201807243633

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Artificial Decision Maker Driven by PSO : An Approach for Testing Reference Point Based Interactive Methods

Autor: Kaisa Miettinen, José F. Aldana-Montes, Antonio J. Nebro, José García-Nieto, Cristóbal Barba-González, Vesa Ojalehto

Publikováno v: Parallel Problem Solving from Nature – PPSN XV ISBN: 9783319992525
PPSN (1)
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
idUS. Depósito de Investigación de la Universidad de Sevilla

Over the years, many interactive multiobjective optimization methods based on a reference point have been proposed. With a reference point, the decision maker indicates desirable objective function values to iteratively direct the solution process. H

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4b98c67afa74c2781abd65e955f7d3d
http://urn.fi/URN:NBN:fi:jyu-201809124091

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Agent assisted interactive algorithm for computationally demanding multiobjective optimization problems

Autor: Dmitry Podkopaev, Vesa Ojalehto, Kaisa Miettinen

Publikováno v: Computers and Chemical Engineering. 77(9):105-115

We generalize the applicability of interactive methods for solving computationally demanding, that is, time-consuming, multiobjective optimization problems. For this purpose we propose a new agent assisted interactive algorithm. It employs a computat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::475a8e3a506a00304540820b48173af5
https://doi.org/10.1016/j.compchemeng.2015.03.004

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