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Compared with existing two typical ACR algorithms, it shows that the proposed algorithm can settle the problem of ant being stuck and achieve more effective searching outcome for optimization path.
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Scatter search is a population-based method that has been shown to yield high-quality outcomes for combinatorial optimization problems.
Tables 2 and 3 list the parameters and outcomes for the optimizations.
Finally, biologically relevant outcomes of optimization are presented.
The model also predicts outcomes for the two optimization strategies for CRT-D therapy vs. optimal medical treatment (OPT).
The hip rotation center (HRC) and femoral offset (FO) are important factors affecting clinical outcomes for THA, the optimization of which can lead to maximizing an implant durability and mechanical function in a replaced hip joint.
Computer modeling (21– 23) of the profiles obtained here may allow for optimization of algorithm performance and should lead to improved outcomes in subsequent clinical studies.
What distinguishes our approach from previous methods for optimization is that we seek to develop a statistical model of the relationship between parameters and the outcome of the experiment.
No free lunch theorems for optimization.
A review of trust region algorithms for optimization.
Pseudo-Boolean optimization was used for optimization.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com