Results 81 to 90 of about 383,452 (267)

Multi-objective worst case optimization by means of evolutionary algorithms [PDF]

Many real-world optimization problems are subject to uncertainty. A possible goal is then to find a solution which is robust in the sense that it has the best worst-case performance over all possible scenarios.
Avigad, Gideon, Branke, Jürgen, Moshaiov, Amiram   +2 more
core  

Multi-objective optimisation of web business processes [PDF]

, 2010
This paper proposes an approach for the optimisation of web business processes using multi-objective evolutionary computing. Business process optimisation is considered as the problem of constructing feasible business process designs with optimum ...
Tiwari, Ashutosh, Turner, Christopher J., Vergidis, Kostas, Kostas Vergidis, Ball, Peter D., Ashutosh Tiwari, Peter Ball, Christopher Turner   +7 more
core   +1 more source

Research on Multi-Objective Optimization of Smart Grid Based on Particle Swarm Optimization

Electrica, 2023
Fei Long, Bo Jin , Huan Xu, Jingjing Wang, Jyoti Bhola, Shavkatov Navruzbek Shavkatovich   +5 more
doaj   +1 more source

Multi-objective optimization of Resin Infusion

Advanced Manufacturing: Polymer & Composites Science, 2019
The present paper addresses the multi-objective optimization of the filling stage of the Resin Infusion manufacturing process. The optimization focuses on the selection of an optimal temperature profile which addresses the tradeoff between filling time ...
G. Struzziero, A. A. Skordos
doaj   +1 more source

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source

Scalarizing cost-effective multiobjective optimization algorithms made possible with kriging [PDF]

, 2007
The use of kriging in cost-effective single-objective optimization is well established, and a wide variety of different criteria now exist for selecting design vectors to evaluate in the search for the global minimum.
Jan Sykulski, Hawe, G.I., Hawe, G., Sykulski, J.K., Glenn Hawe   +4 more
core   +1 more source

Effectiveness of rTMS on Working Memory and Inhibitory Impairments in Patients With Post‐Stroke Executive Deficits

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao, Rongwei Du, Zhujun Wang, Yang Gao, Meiling Cheng, Xianglong Wang, Wen Wu   +6 more
wiley   +1 more source

04461 Abstracts Collection – Practical Approaches to Multi-Objective Optimization [PDF]

, 2005
From 07.11.04 to 12.11.04, the Dagstuhl Seminar 04461 ``Practical Approaches to Multi-Objective Optimization'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl.
Steuer, Ralph E., Miettinen, Kaisa, Branke, Jürgen, Kalyanmoy, Deb   +3 more
core   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

Probability of improvement methods for constrained multi-objective optimization [PDF]

, 2008
This paper shows how the simultaneous consideration of multiple Kriging models can lead to useful metrics for the selection of design vectors in constrained multiobjective optimization.
G.I. Hawe, Hawe, G. I., Sykulski, J. K., J.K. Sykulski   +3 more
core   +1 more source