Ausgabe 4/2022
Methodology and applications of robust optimization and Special issue dedicated to SDEWES 2021 conference
Inhalt (21 Artikel)
Norm induced polyhedral uncertainty sets for robust linear optimization
Said Rahal, Zukui Li
Accounting for non-normal distribution of input variables and their correlations in robust optimization
O. Nejadseyfi, H. J. M. Geijselaers, E. H. Atzema, M. Abspoel, A. H. van den Boogaard
A Lagrangian dual method for two-stage robust optimization with binary uncertainties
Anirudh Subramanyam
ROmodel: modeling robust optimization problems in Pyomo
Johannes Wiebe, Ruth Misener
Robust vehicle routing under uncertainty via branch-price-and-cut
Akang Wang, Anirudh Subramanyam, Chrysanthos E. Gounaris
Adjustable robust treatment-length optimization in radiation therapy
S. C. M. ten Eikelder, A. Ajdari, T. Bortfeld, D. den Hertog
Adjustable robust optimal control for industrial 2-Mercaptobenzothiazole production processes under uncertainty
Enzhi Liang, Zhihong Yuan
Robust optimization of stiff delayed systems: application to a fluid catalytic cracking unit
Jonas Otten-Weinschenker, Martin Mönnigmann
Introductory remarks on the special issue of Optimization and Engineering dedicated to SDEWES 2021 conference
Marian Trafczynski, Krzysztof Urbaniec, Hrvoje Mikulčič, Neven Duić
Data-driven modeling of CO2 emission-allowance compensation for wood-purchasing optimization toward carbon–neutral forest industry
Teijo Palander, Jari Takkinen
Towards a comprehensive approach to optimal control of non-ideal binary batch distillation
Danijel Zadravec, Nenad Ferdelji, Dražen Lončar, Saša Mudrinić
Hierarchical optimisation model for waste management forecasting in EU
V. Smejkalová, R. Šomplák, J. Pluskal, K. Rybová
Mixed-integer quadratic optimization for waste flow quantification
R. Šomplák, V. Smejkalová, J. Kůdela
Optimization of a SWAT model by incorporating geological information through calibration strategies
Alejandro Sánchez-Gómez, Silvia Martínez-Pérez, Francisco M. Pérez-Chavero, Eugenio Molina-Navarro
Data-driven modelling based on artificial neural networks for predicting energy and effluent quality indices and wastewater treatment plant optimization
Norbert-Botond Mihály, Melinda Simon-Várhelyi, Vasile Mircea Cristea
Nonlinear relationship between household composition and electricity consumption: optimal threshold models
Wen-Hsiu Huang
Short-term load forecasting using time series clustering
Ana Martins, João Lagarto, Hiren Canacsinh, Francisco Reis, Margarida G. M. S. Cardoso
Reliability based maintenance programming by a new index for electrical distribution system components ranking
Mina Mirhosseini, Azim Heydari, Davide Astiaso Garcia, Francesco Mancini, Farshid Keynia
Current and voltage control system designs with EKF-based state-of-charge estimator for the purpose of LiFePO4 battery cell charging
Danijel Pavković, Antun Premec, Matija Krznar, Mihael Cipek