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Torpedo The Overall Parameters Of Multi-objective Optimization Design Method And Applied Research

Posted on:2007-06-30Degree:MasterType:Thesis
Country:ChinaCandidate:J ChenFull Text:PDF
GTID:2192360185963523Subject:Weapon system and application engineering
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This thesis is a part work of torpedo integrated design and evaluation method research, one of the important pre-researching projects funded which was named ' fifteen' by integrated equipment. This dissertation mainly studies the method of torpedo integrated parameter optimization design and project estimate. The main contributions of the dissertation are summarized as follows:1 This dissertation studies the procedure and content of torpedo integrated project design in detail, establishes flow chart and structure frame chart of required database of torpedo integrated project design, then analyses and concludes the method of integrated project design evaluating, brings forward the rough and fuzzy optimization method.2 This text discusses mutil- objective optimization method, points out the shortcoming of traditional mutil-objective optimizations means (MOP), brings forward improved mutil-objective optimization genetic algorithm (MOGA). Then, torpedo weight model and cost model was built by a number of integrated parameter data analysis.3 Based on above works, considered torpedo cost, weight and campaign efficiency, text optimizes and designs torpedo integrated parameter in adopting improved mutil-objective optimization genetic algorithm, establishes two object and three object optimization model. Then, paper shows an example of some pattern torpedo project application, summarizes and analysis the optimization result. The last, the software of "The integrated optimization design of integrated parameter" based on Matlab program language is developed.The research result of this text can be applied in the field of the torpedo integrated optimization project design, and be of certain value in other correlation field.
Keywords/Search Tags:rough and fuzzy optimization, genetic algorithm, multi-objective optimization, Pareto most excellent result, multi-objective optimize genetic algorithm, integrated parameter optimization design, Partial Least Squares Regression
PDF Full Text Request
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