Simheuristics

Angel Juan, Majsa Ammouriova (), Javier Faulin (), Javier Panadero () and Daniele Ferone ()
Additional contact information
Majsa Ammouriova: German Jordanian University
Javier Faulin: Public University of Navarra
Javier Panadero: Universitat Autònoma de Barcelona
Daniele Ferone: University of Napoli FEDERICO II, Department of Mathematics and Applications “R.Caccioppoli”

Chapter 13 in Handbook of Heuristics, 2025, pp 335-361 from Springer

Abstract: Abstract Uncertainty affects many industries and sectors, including transportation and logistics, health care, production, smart cities, and finance. Simulation models are frequently employed to analyze complex systems under stochastic uncertainty. Many real-world systems are large scale and complex, requiring metaheuristic algorithms to generate high-quality solutions in reasonable computing times. However, metaheuristics are usually designed to solve optimization problems under deterministic scenarios. This chapter describes simheuristics, which merge simulation with metaheuristics to effectively tackle stochastic and complex optimization problems. It discusses the relevance of simheuristics today, reviews related research, outlines important methodological and computational aspects, and provides practical examples from various industries. Additionally, the chapter identifies open research areas and future trends in this emerging field.

Keywords: Simheuristics; Combinatorial optimization problems; Stochastic optimization problems; Metaheuristics; Simulation (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-00385-0_69

Ordering information: This item can be ordered from
http://www.springer.com/9783032003850

DOI: 10.1007/978-3-032-00385-0_69

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().