Facility location and capacity planning considering policy preference and uncertain demand under the One Belt One Road initiative

Y Fu, D Wu, Y Wang, H Wang - Transportation Research Part A: Policy and …, 2020 - Elsevier
Due to its importance in integrating facilities and smoothing supply chain, facility location
and capacity planning problem (FLCPP) is no doubt a key issue in constructing an efficient …

Optimizing trading decisions of wind power plants with hybrid energy storage systems using backwards approximate dynamic programming

B Finnah, J Gönsch - International Journal of Production Economics, 2021 - Elsevier
On most modern energy markets, electricity is traded in advance and a power producer has
to commit to deliver a certain amount of electricity some time before the actual delivery. This …

Simulation budget allocation for simultaneously selecting the best and worst subsets

H Xiao, S Gao, LH Lee - Automatica, 2017 - Elsevier
Motivated by the practical needs in simulation optimization, this paper considers the problem
of selecting the best m and worst n designs from a total of k alternatives based on their mean …

Spatial iterative coordination for parallel simulation-based optimization of large-scale traffic signal control

WJ Tan, P Andelfinger, W Cai, D Eckhoff… - Simulation, 2023 - journals.sagepub.com
Applying simulation-based optimization to city-scale traffic signal optimization can be
challenging due to the large search space resulting in high computational complexity. A …

Integrated simulation-based optimization of operational decisions at container terminals

M Kastner, N Nellen, A Schwientek, C Jahn - Algorithms, 2021 - mdpi.com
At container terminals, many cargo handling processes are interconnected and occur in
parallel. Within short time windows, many operational decisions need to be made and …

Merging crow search into ordinal optimization for solving equality constrained simulation optimization problems

SC Horng, SS Lin - Journal of computational science, 2017 - Elsevier
Equality-constrained simulation optimization problems (ECSOP) involve the finding of
optimal solutions by simulation within a well-defined search space under deterministic …

Preference Based Stepping ahead Firefly Algorithm for solving Real-World uncapacitated Examination Timetabling Problem

R Nand, E Reddy, K Chaudhary, B Sharma - IEEE Access, 2024 - ieeexplore.ieee.org
Swarm-based intelligent optimization algorithms that employ the principles of collective
behavior have been gaining traction as viable solutions in optimization research. One area …

[PDF][PDF] A method for selecting the best performance systems

MH Almomani, MH Alrefaei, S Al Mansour… - International Journal of …, 2018 - academia.edu
The selection of the best stochastic systems from a set of a finite but very large alternative
systems is considered in this paper. Suppose we have limited computational budget to be …

[PDF][PDF] Selecting the best stochastic systems for large scale engineering problems.

MH Alrefaei, MH Almomani… - International Journal of …, 2021 - researchgate.net
Selecting a subset of the best solutions among large-scale problems is an important area of
research. When the alternative solutions are stochastic in nature, then it puts more burden …

A comparison between the OCBA and the KN selection procedures for maximizing the probability of correct selection

MH Alrefaei, DA Salhiyeh - International Journal of Modeling …, 2024 - World Scientific
Selecting a system or a subset of systems that have the best performance among many
alternative systems is an important area of research. All efforts are paid to do this selection …