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Modeling recreational systems using optimization techniques and information technologies

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  • Oleg Shcherbina
  • Elena Shembeleva

Abstract

Due to intrinsic complexity and sophistication of decision problems in tourism and recreation, respective decision making processes can not be implemented without making use of modern computer technologies and operations research approaches. In this paper, we review research works on modeling recreational systems. Copyright Springer Science+Business Media, LLC 2014

Suggested Citation

  • Oleg Shcherbina & Elena Shembeleva, 2014. "Modeling recreational systems using optimization techniques and information technologies," Annals of Operations Research, Springer, vol. 221(1), pages 309-329, October.
    • Handle: RePEc:spr:annopr:v:221:y:2014:i:1:p:309-329:10.1007/s10479-011-1011-3
    DOI: 10.1007/s10479-011-1011-3
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    1. Shivam Gupta & Sachin Modgil & Samadrita Bhattacharyya & Indranil Bose, 2022. "Artificial intelligence for decision support systems in the field of operations research: review and future scope of research," Annals of Operations Research, Springer, vol. 308(1), pages 215-274, January.
    2. Danny Castillo-Vizuete & Alex Gavilanes-Montoya & Carlos Chávez-Velásquez & Paúl Benalcázar-Vergara & Carlos Mestanza-Ramón, 2021. "Design of Nature Tourism Route in Chimborazo Wildlife Reserve, Ecuador," IJERPH, MDPI, vol. 18(10), pages 1-18, May.
    3. Ruiz-Meza, José & Montoya-Torres, Jairo R., 2022. "A systematic literature review for the tourist trip design problem: Extensions, solution techniques and future research lines," Operations Research Perspectives, Elsevier, vol. 9(C).
    4. José Ruiz-Meza & Jairo R. Montoya-Torres, 2021. "Tourist trip design with heterogeneous preferences, transport mode selection and environmental considerations," Annals of Operations Research, Springer, vol. 305(1), pages 227-249, October.

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