Multi-Objective Optimization in Theory and Practice I: Classical Methods

Author(s): Andre A. Keller

Indexed in: EBSCO.

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Multi-Objective Optimization in Theory and Practice is a traditional two-part approach to solving multi-objective optimization (MOO) problems namely the use of classical methods and evolutionary ...
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Preface  promotion: free to download

Pp. i-ii (2)

Andre A. Keller



Acknowledgements  promotion: free to download

Pp. iii

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Design of Multi-Objective Optimization Problems

Pp. 1-16 (16)

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Extended Multi-Objective Optimization Problems

Pp. 17-45 (29)

Andre A. Keller


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Pareto Optimality

Pp. 46-66 (21)

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Founding Multi-Optimization Techniques

Pp. 67-108 (42)

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Preference-Based Methods of MOO Problems

Pp. 109-137 (29)

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Mixed-Integer Nonlinear Programming

Pp. 138-172 (35)

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Nested Optimization of Hierarchical Systems

Pp. 173-203 (31)

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Fuzzy Logic Programming

Pp. 204-237 (34)

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Noncooperative Games in a Fuzzy Environment

Pp. 238-260 (23)

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List of Abbreviations  promotion: free to download

Pp. 261-262 (2)

Andre A. Keller



List of Symbols  promotion: free to download

Pp. 263-269 (7)

Andre A. Keller



Author Index  promotion: free to download

Pp. 270-273 (4)

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Subject Index  promotion: free to download

Pp. 274-282 (9)

Andre A. Keller