Modeling and Solving Real-Life Global Optimization Problems with Meta-heuristic Methods

Antonio Mucherino () and Onur Seref
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Antonio Mucherino: University of Florida
Onur Seref: University of Florida

A chapter in Advances in Modeling Agricultural Systems, 2009, pp 403-419 from Springer

Abstract: Abstract Many real-life problems can be modeled as global optimization problems. There are many examples that come from agriculture, chemistry, biology, and other fields. Meta-heuristic methods for global optimization are flexible and easy to implement and they can provide high-quality solutions. In this chapter, we give a brief review of the frequently used heuristic methods for global optimization. We also provide examples of real-life problems modeled as global optimization problems and solved by meta-heuristicmeta-heuristic methods, with the aim of analyzing the heuristic approach that is implemented.

Keywords: Objective Function; Particle Swarm Optimization; Simulated Annealing; Differential Evolution; Forest Inventory (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-0-387-75181-8_19

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DOI: 10.1007/978-0-387-75181-8_19

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