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Locating multiple capacitated semi-obnoxious facilities using evolutionary strategies · Study

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ArticleLocating multiple capacitated semi-obnoxious facilities using evolutionary strategies

Alejandro Teran-Somohano2019

Article2019

Locating multiple capacitated semi-obnoxious facilities using evolutionary strategies

Alejandro Teran-Somohano · Alice E. Smith

17 citations·0/0 files stored·Computers & Industrial Engineering

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Facility Location and Emergency Management Vehicle Routing Optimization Methods Optimization and Mathematical Programming

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References

2004Facility location models for distribution system design 1983Multi-Objective Decision Analysis with Engineering and Business Applications 1989Analytical models for locating undesirable facilities 2006A fuzzy multi-objective programming for optimization of fire station locations through genetic algorithms 1983Multiobjective decision analysis with engineering and business applications 2017A stochastic multi-period capacitated multiple allocation hub location problem: Formulation and inequalities 2006Solving the semi-desirable facility location problem using bi-objective particle swarm 1976Multiobjective location analysis of regional energy facility siting problems

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2009Multiple criteria facility location problems: A surveyarticle · 7 shared references 2011The Location of Undesirable Facilitieschapter · 6 shared references 2017Sustainable urban facility location: Minimising noise pollution and network congestionarticle · 5 shared references 2012Location of a semi-obnoxious facility with elliptic maximin and network minisum objectivesarticle · 5 shared references 2007An interactive solution approach for a bi-objective semi-desirable location problemarticle · 5 shared references 2016Advanced Greedy Randomized Adaptive Search Procedure for the Obnoxious p-Median problemarticle · 4 shared references

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Year2019

Typearticle

Published2019-05-10

VenueComputers & Industrial Engineering

ISSN-L0360-8352

Languageen

Citations17

Files0 public / 0

ShelfFacility Location and Emergency Management

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doi10.1016/j.cie.2019.05.014

openalex_workW2944684402

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