A new hybrid genetic algorithm (GA) and a parallel genetic algorithm are proposed in this paper in order to improve the convergence of structural optimization. The fully stressed design, FSD, method and a GA were incorporated into the hybrid GA. In the parallel GA, the "island model" was ...
The work is carried out to make use of particleswarm optimization method for solving the optimal powerflow (OPF) problem for units of the same systems. Theoptimal power flow (OPF) is being used to find the optimalsetting to operate the system. When operating cost isminimized, the generator ...
PRIORI METHODS- A PRACTICAL APPROACHMulti Objective Optimization method is one of the most powerful tools of Operational Research. It is originally grew out of three areas: Economics Equilibrium and Welfare Theories, Game Theory, and Pure Mathematics.There are mainly three categories of methods:...
Another optimization for potential tasks with low GPU occupancy is to break the whole workload into uniform batches that can be efficiently processed in parallel. Each batch holds all the required attributes to process a range of vertices and apply transformations. This way, you can process many ...
This paper presents a practical method for finding the provably globally optimal solution to numerous problems in projective geometry including multiview triangulation, camera resectioning and homography estimation. Unlike traditional methods which may get trapped in local minima due to the non-convex natu...
Practical design optimization of wing/body configurations using the Euler equations The development of a practical method for the aerodynamic design of isolated wing and wing/body configurations is achieved through the coupling of existing computational fluid dynamics (CFD) analysis codes and a quasi-New...
hyperparameters that do not strongly affect the performance measure. This is studied at length in Bergstra and Bengio ( 2012 ) (2012) (2012), who found that random search reduces the validation set error much faster than grid search, in terms of the number of trials run by each method. ...
The proposed algorithm is the only method evaluated that achieves consistent wall-clock speedups when benchmarked against regular SGD with an optimized communication backend. We demonstrate reduced training times for convolutional networks as well as LSTMs on common datasets. Reference implementation This ...
著名的方法有the fast gradient sign method (FGSM), DeepFool, least-likely class method (LLCM) , C&W, momentum iterative fast gradient sign method (MI-FGSM) 和 projected gradient descent (PGD) 等等。 同样,防护方法也可以分成model-specific defense 和 model-agnostic defense 策略。一些众所周知的特定...
Method of Integer Forms 110 3.3.2 Primal All--Integer Cuts 114 3.3.3 Cuts with Unit Coefficients 118 3.3.4 Valid Inequalities 121 3.4 Benders Decomposition for Mixed--Integer Linear Programming 127 3.4.1 Reformulation of MILP 127 3.4.2 Algorithm 130 3.5 Unimodularity 133 REFERENCES 137 v 3 ...