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Simulation optimization: A panel on the state of the art in research and practice

Michael C. Fu, Guzin Bayraksan, Shane G. Henderson, Barry L. Nelson, Warren B. Powell, Ilya O. Ryzhov, Ben Thengvall
2014 Proceedings of the Winter Simulation Conference 2014  
The goal of this panel was to discuss the state of the art in simulation optimization research and practice.  ...  This paper begins with a short introduction to simulation optimization, and then presents a list of specific questions that served as a basis for discussion during the panel discussion.  ...  Michael Fu's work was partially supported by the National Science Foundation (NSF) under Grants CMMI-0856256 and EECS-0901543, and by the Air Force Office of Scientific Research (AFOSR) under Grant FA9550  ... 
doi:10.1109/wsc.2014.7020198 dblp:conf/wsc/FuBHNPRT14 fatcat:jco27svtqffqref7tlypt3ooyy

Future of simulation optimization

J. Boesel, R.O. Bowden, F. Glover, J.P. Kelly, E. Westwig
2001 Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304)  
The combination of simulation and optimization, essentially unheard of in practice a decade ago, is much more accessible today, thanks in large part to the development of commercial optimization software  ...  This panel, which includes developers of simulation-optimization packages, will discuss this untapped potential, barriers to broader applicability, and approaches for overcoming these barriers.  ...  Currently, the majority of the published research on simulation optimization focuses on a single aspect of simulation optimization without considering the subject as a whole.  ... 
doi:10.1109/wsc.2001.977472 dblp:conf/wsc/BoeselBGKW01 fatcat:uqftdxrk6ffe5eeqwdpcaj3yqm

Integrating optimization and simulation: research and practice

M.C. Fu, S. Andradottir, J.S. Carson, F. Glover, C.R. Harrell, Yu-Chi Ho, J.P. Kelly, S.M. Robinson
2000 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165)  
This panel session's objective was to explore the present state of the art in simulation optimization, prevailing issues for researchers, and future prospects for the field.  ...  The integration of optimization and simulation has become nearly ubiquitous in practice, as most discrete-event simulation packages now include some type of optimization routine.  ...  POSITION STATEMENTS Each panelist was asked to provide a short statement summarizing his/her assessment of the state of the art in simulation optimization, both in research and in practice.  ... 
doi:10.1109/wsc.2000.899770 dblp:conf/wsc/FuACGHHKR00 fatcat:z4wdosafcjeibjb6ic2bxyp3ae

Fast simulation of quantum algorithms using circuit optimization [article]

Gian Giacomo Guerreschi
2022 arXiv   pre-print
Classical simulators play a major role in the development and benchmark of quantum algorithms and practically any software framework for quantum computation provides the option of running the algorithms  ...  The communication overhead is reduced by changing the order in which state amplitudes are stored in the distributed memory, a concept analogous to the distinction between local and global qubits for distributed  ...  Sawaya for helpful discussions, and Salvatore Mandrà for comments on a previous version of the manuscript.  ... 
arXiv:2010.09746v3 fatcat:7lotia2xgfalneuosqxhadaeta

The simulation-based multi-objective evolutionary optimization (SIMEON) framework

Ronald Apriliyanto Halim, Mamadou D. Seck
2011 Proceedings of the 2011 Winter Simulation Conference (WSC)  
The proposed framework is developed based on Zeigler's modeling and simulation framework and the phases of an optimization study in operations research.  ...  This deters the development of simulation-based optimization methods that have a proper balance between the desired features (i.e. generality, efficiency, high-dimensionality and transparency).  ...  It is one of the state-of-the-art methods to solve MOOP (Deb et al. 2002) .  ... 
doi:10.1109/wsc.2011.6147987 dblp:conf/wsc/HalimS11 fatcat:mpcxxwzvbjcn7cvhr3dp6q433i

Kidney exchange simulation and optimization

Nicolau Santos, Paolo Tubertini, Ana Viana, João Pedro Pedroso
2017 Journal of the Operational Research Society  
In this paper, we propose a KEP simulator that 16 takes into consideration the wide typology of actors found in practice (incompatible pairs, altruistic donors, and 17 compatible pairs) and handles different  ...  9 10 11 12 One of the challenges in a kidney exchange program (KEP) is to choose policies that ensure an effective and fair 13 management of all participating patients.  ...  If not otherwise 127 stated, this is the test meant by ''crossmatch'' in the remain 128 of this document. 146 2 . 2 Dynamic kidney exchange: state-of-the-art 147 In their simplest format, kidney exchange  ... 
doi:10.1057/s41274-016-0174-3 fatcat:5na4s3anhbfgppd6hcxi3rgdzy

Optimization of Renewable Energy-Based Autonomous Device Operation Using Simulation

Sebastian Ernst, M. Filipowicz, M. Dudek, T. Olkuski, K. Styszko
2016 E3S Web of Conferences  
These devices rely on built-in generators, usually small PV panels or wind turbines, and batteries which allow the energy to be stored and utilized at appropriate time.  ...  An example of such scenario is given, along with example data obtained during preliminary research.  ...  State of the Art and Related Work Simulation tools for generation, storage and consumption of energy are at the core of the proposed methods. They are described in the following sections.  ... 
doi:10.1051/e3sconf/20161000020 fatcat:bk3vul5hknhrzp2ptpwhiopsra

Feature Article: Optimization for simulation: Theory vs. Practice

Michael C. Fu
2002 INFORMS journal on computing  
The article concludes with the author's speculations on promising research areas and possible future directions in practice.  ...  The main thesis of this article, however, is that there is a disconnect between research in simulation optimization-which has addressed the stochastic nature of discrete-event simulation by concentrating  ...  Acknowledgments This work was supported in part by the National Science Foundation under Grants DMI-9713720 and DMI-9988867 and by the Air Force Office of Scientific Research under Grant F496200110161.  ... 
doi:10.1287/ijoc.14.3.192.113 fatcat:ntus2mrdhjbptc77jf2zjmgmcu

Fast simulation of quantum algorithms using circuit optimization

Gian Giacomo Guerreschi
2022 Quantum  
Classical simulators play a major role in the development and benchmark of quantum algorithms and practically any software framework for quantum computation provides the option of running the algorithms  ...  The communication overhead is reduced by changing the order in which state amplitudes are stored in the distributed memory, a concept analogous to the distinction between local and global qubits for distributed  ...  Sawaya for helpful discussions, and Salvatore Mandrà for comments on a previous version of the manuscript.  ... 
doi:10.22331/q-2022-05-03-706 fatcat:g45ew5b5p5c3bcbtlyixn6zj2y

An Optimal Estimator of Intrinsic Alignments for Star-forming Galaxies in IllustrisTNG Simulation [article]

Jingjing Shi, Ken Osato, Toshiki Kurita, Masahiro Takada
2021 arXiv   pre-print
We propose a fixed-aperture shape estimator of each ELG for extracting the intrinsic alignment (IA) signal, and assess the performance of the method using image simulations of ELGs generated from the IllustrisTNG  ...  We show that our method enables a significant detection of the IA power spectrum with the linear-scale coefficient A_ IA≃ (13–15)± 3.0 up to z=2, even from the small simulation volume ∼0.009 (h^-1 Gpc)  ...  This work was supported in part by World Premier International Research Center Initiative (WPI Initiative), MEXT, Japan, and JSPS KAKENHI Grant Numbers JP18H04350, JP18H04358, JP19H00677, JP20J22055, JP20H05850  ... 
arXiv:2104.12329v3 fatcat:7355nx44pfag3fxjn24ezetgh4

Combinatorial optimization by simulating adiabatic bifurcations in nonlinear Hamiltonian systems

Hayato Goto, Kosuke Tatsumura, Alexander R. Dixon
2019 Science Advances  
10 times faster than a state-of-the-art laser-based machine called a coherent Ising machine.  ...  Inspired by recently proposed quantum adiabatic optimization using a nonlinear oscillator network, we propose a new optimization algorithm simulating adiabatic evolutions of classical nonlinear Hamiltonian  ...  Funding: The authors acknowledge no funding in support of this research.  ... 
doi:10.1126/sciadv.aav2372 fatcat:kew6kp3cv5f23lv6kxz4vc6cey

Optimizing quantum phase estimation for the simulation of Hamiltonian eigenstates [article]

P. Q. Cruz, G. Catarina, R. Gautier, J. Fernández-Rossier
2019 arXiv   pre-print
We then use IBM Q hardware to carry out the digital quantum simulation of three toy models: a two-level system, a two-spin Ising model and a two-site Hubbard model at half-filling.  ...  Methodologies are provided to make use of Trotterization and reduce the variability of NISQ results.  ...  J.F.R. and G.C. acknowledge the FCT for grant PTDC/FIS-NAN/4662/2014 (016656). G.C. acknowledges Fundação para a Ciência e a Tecnologia (FCT) for Grant No. SFRH/BD/138806/2018.  ... 
arXiv:1910.06265v1 fatcat:dbutw2oroza3hlz5pic5a5qop4

Improving Convergence in Therapy Scheduling Optimization: A Simulation Study

Juan C. Chimal-Eguia, Julio C. Rangel-Reyes, Ricardo T. Paez-Hernandez
2020 Mathematics  
The method gives a pulsed-like control that models a series of bolus injections and aims to minimize a cost a function, which minimizes tumor size and to keep the tumor under a threshold.  ...  In this work, we test and analyze several extensions to the gradient descent equations in an optimal control algorithm conceived for therapy scheduling optimization.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/math8122114 fatcat:s64pwh5nljgwblb5oojulz53xa

Generating optimal control simulations of musculoskeletal movement using OpenSim and MATLAB

Leng-Feng Lee, Brian R. Umberger
2016 PeerJ  
Computer modeling, simulation and optimization are powerful tools that have seen increased use in biomechanics research.  ...  The framework presented here provides a powerful and flexible approach for generating optimal control simulations of musculoskeletal movement using OpenSim and MATLAB.  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.  ... 
doi:10.7717/peerj.1638 pmid:26835184 pmcid:PMC4734202 fatcat:pp66ogkgnvaelejt5awp5ayli4

Continuous optimization via simulation using Golden Region search

Alireza Kabirian, Sigurdur Ólafsson
2011 European Journal of Operational Research  
(And, on the other hand, unnecessary state variables may be eliminated.) In the bank example, the number of customers in the queue might be a state in a simulation study.  ...  The advantages of simulation optimization over other optimization models roots in the advantages of discrete-event simulation analysis which were stated in section 3.2.  ... 
doi:10.1016/j.ejor.2010.09.002 fatcat:rwcven6pwjbnbiki3cjsynmaqu
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