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For more complex material distributions, a "material gradient optimization method" is proposed that produces multiple gradient architecture constraints with more optimal solutions than obtained without using these constraints, but whose uniqueness will be dependent upon the number of layers used in the finite element simulations.
For optimization to occur, the competition scheme must be such that the more optimal solutions have a greater chance of survival than the poorer solutions.
Integer programming was able to verify that optimality of the dynamic programming solution for single satellites was within 10%, and find up to 5% more optimal solutions.
If it can be scaled up, this non-traditional computer could save costs by finding more optimal solutions to problems that have an incredibly high number of possible solutions.
When underground solutions are considered and evaluated from the planning or initial project stages onwards, more optimal solutions will become possible.
The proposed design procedure uses Structural Building Information Modeling (S-BIM) to increase the efficiency of this selection and obtain more optimal solutions to eventually improve the constructability, structural safety, and economic feasibility of the building.
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More recently, the Waire-Phalen structure is believed to be a more optimal solution.
A draft tube (DT) crystallizer would therefore give a more optimal solution in this case.
However, when demand is light, GA can reach a more optimal solution at the expense of more computation time.
When compared to classical results presented by earlier authors, the new approach provides a more optimal solution.
However, in most instances, premature convergence prevents the system from searching for a more optimal solution, a common problem in many G.A. applications.
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