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Which Allows Directional And Random Search And It Is Able To Reach The Global Minimum The Goal Of This Work Is To Study The Behavior Of The Sa Algorithm When It S Used To Solve Structural Optimization Problems The Designs Are Generated Randomly And The Change Costs Variation Of The Objective Function Is Evaluated The Outputs Obtained With This Method Are Compared With Results From Some Deterministic Optimization Methods

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