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Engineering Optimization: Applications, Methods, and Analysis

By
R. Russell Rhinehart
R. Russell Rhinehart
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ISBN:
9781118936337
No. of Pages:
770
Publisher:
ASME Press
Publication date:
2018

The objective is to improve the optimizers, to optimize the optimization algorithms. Specific metrics would be to maximize the probability of finding the global optimum and robustness to aberrations (constraints, nonlinearities, stochastic response, discontinuities, flat spots, etc.) while minimizing computational work (of both the algorithm and number of function evaluations) and minimizing complexity (for either programmer or user). In any one optimizer, there seem to be dozens of enhancements the lead to improvements.

18.1
Introduction
18.2
Criteria for Replicate Trials
18.3
Quasi-Newton
18.4
Coarseā€“Fine Sequence
18.5
Number of Players
18.6
Search Range Adjustment
18.7
Adjustment of Optimizer Coefficient Values or Options in Process
18.8
Initialization Range
18.9
OF and DV Transformations
18.10
Takeaway
18.11
Exercises
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