Abstract
This chapter is devoted to reviewing optimization concepts and the related computational methods that will be used in the remaining chapters. In particular, we deal with three optimization concepts incorporating fuzziness and ambiguity of human judgements, multiplicity of evaluation criteria, and uncertainty of events characterizing decision making problems. Moreover, we provide the fundamentals of genetic algorithms which are considered to be one of the most practical and proven meta heuristics for difficult classes of optimization problems.
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© 2009 Springer-Verlag US
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Sakawa, M., Nishizaki, I. (2009). Optimization Concepts and Computational Methods. In: Nishizaki, I., Sakawa, M. (eds) Cooperative and Noncooperative Multi-Level Programming. Operations Research/Computer Science Interfaces Series, vol 48. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0676-2_2
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DOI: https://doi.org/10.1007/978-1-4419-0676-2_2
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Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-0675-5
Online ISBN: 978-1-4419-0676-2
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