A review of Simheuristics: Extending Metaheuristics to Deal With Stochastic Optimization Problems

J. Faulin; Scott Grasman; A.A. Juan; M Rabe; G Figueira

A review of Simheuristics: Extending Metaheuristics to Deal With Stochastic Optimization Problems

J. Faulin, Scott Grasman, A.A. Juan, M Rabe, G Figueira

Kettering University

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Operations Research Perspectives
Volume	2
State	Published - 2015

Disciplines

Engineering

Cite this

@article{415b3dd7fbf44e8e871f6b5f2046b273,

title = "A review of Simheuristics: Extending Metaheuristics to Deal With Stochastic Optimization Problems",

author = "J. Faulin and Scott Grasman and A.A. Juan and M Rabe and G Figueira",

note = "We address a class of production problems that model human learning with non-linear curves. * We reformulate the non-linear program to an equivalent mixed integer program (MIP). * We present a specialized algorithm for solving the MIP. * We show that the MIP is much easier to solve than the non-linear program.",

year = "2015",

language = "American English",

volume = "2",

journal = "Operations Research Perspectives",

}

TY - JOUR

T1 - A review of Simheuristics: Extending Metaheuristics to Deal With Stochastic Optimization Problems

AU - Faulin, J.

AU - Grasman, Scott

AU - Juan, A.A.

AU - Rabe, M

AU - Figueira, G

N1 - We address a class of production problems that model human learning with non-linear curves. * We reformulate the non-linear program to an equivalent mixed integer program (MIP). * We present a specialized algorithm for solving the MIP. * We show that the MIP is much easier to solve than the non-linear program.

PY - 2015

Y1 - 2015

UR - https://www.sciencedirect.com/science/article/pii/S0377221714008996?casa_token=IdObuuVoPTUAAAAA:CQkIsn7CsGVsyZO3eryLPQ6yQZjqNr_1d91UK1XDC_5bh141jFU-NfmpGDqlRhzFlKU-fVQiAg

M3 - Article

VL - 2

JO - Operations Research Perspectives

JF - Operations Research Perspectives

ER -

A review of Simheuristics: Extending Metaheuristics to Deal With Stochastic Optimization Problems

Disciplines

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