Advances in Modeling Agricultural Systems

Volume 25 of the series Springer Optimization and Its Applications pp 403-419


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

  • Antonio MucherinoAffiliated withCenter for Applied Optimization, University of Florida Email author 
  • , Onur SerefAffiliated withCenter for Applied Optimization, University of Florida

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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-heuristic methods, with the aim of analyzing the heuristic approach that is implemented.