Haku
Aineistot 91-100 / 2109
A Serendipity-Oriented Greedy Algorithm for Recommendations
(SCITEPRESS Science And Technology Publications, 2017)
Most recommender systems suggest items to a user that are popular among all users and similar to items the user usually consumes. As a result, a user receives recommendations that she/he is already familiar with or would ...
A Simple Cluster Validation Index with Maximal Coverage
(ESANN, 2017)
Clustering is an unsupervised technique to detect general,
distinct profiles from a given dataset. Similarly to the existence of various
different clustering methods and algorithms, there exists many cluster
validation ...
A Simple Indicator Based Evolutionary Algorithm for Set-Based Minmax Robustness
(Springer, 2018)
For multiobjective optimization problems with uncertain parameters
in the objective functions, different variants of minmax robustness
concepts have been defined in the literature. The idea of minmax robustness
is to ...
A solution process for simulation-based multiobjective design optimization with an application in the paper industry
(Elsevier, 2014)
In this paper, we address some computational challenges arising in complex simulation-based design optimization problems. High computational cost, black-box formulation and stochasticity are some of the challenges related ...
A solution to the dilemma between R&D expansion and the productivity decline : lessons from the R&D models in Amazon and Finland
(AIRCC Publishing Corporation, 2019)
As a consequence of the two-faced nature of information and communication technology (ICT), a majority of ICT leaders have been confronting the critical problem of a dilemma between R&D expansion and productivity decline ...
A Statistical Model of Spine Shape and Material for Population-Oriented Biomechanical Simulation
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
In population-oriented ergonomics product design and musculoskeletal kinetics analysis, digital spine models of different shape, pose and material property are in great demand. The purpose of this study was to construct a ...
A Surrogate-assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-objective Optimization
(Institute of Electrical and Electronics Engineers, 2018)
We propose a surrogate-assisted reference vector guided evolutionary algorithm (EA) for computationally expensive optimization problems with more than three objectives. The proposed algorithm is based on a recently developed ...
A survey on handling computationally expensive multiobjective optimization problems using surrogates: non-nature inspired methods
(Springer Berlin Heidelberg; International Society for Structural and Multidisciplinary Optimization, 2015)
Computationally expensive multiobjective optimization problems arise, e.g. in many engineering
applications, where several conflicting objectives are to be optimized simultaneously
while satisfying constraints. In many ...
A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms
(Springer, 2019)
Evolutionary algorithms are widely used for solving multiobjective optimization problems but are often criticized because of a large number of function evaluations needed. Approximations, especially function approximations, ...
A Survey on Technologies Which Make Bitcoin Greener or More Justified
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
According to recent estimates, one bitcoin transaction consumes as much energy as 1.5 million Visa transactions. Why is bitcoin using so much energy? Most of the energy is used during the bitcoin mining process, which ...