Fixing: 52 cplex error 5002 objective is not convex #199 Closed 4 tasks blake-riley mentioned this issue May 10, 2022 Fix non-convex objective errors by selectively deleting conformers #213 Merged 4 tasks blake-riley linked a pull request May 10, 2022 that will close this issue ...
The proposed algorithm is applied to the optimal design of sandwich material. Comparisons with the genetic algorithm NSGA-II and the DMS solver are given and show that it is numerically more efficient due to the fact that it does not necessitate the objective function expectation evaluation. It ...
Hi, everyone, this problem bothers me for a long time u = cp.Variable((2, 3)) obj = cp.sum(u@u.T) however, the expression of obj is Expression(UNKNOWN, UNKNOWN, ()). But the expression of the obj should be convex, so how should I deal wi...
A brief overview of these problems is as follows: ZDT1 presents a continuous and uniformly distributed convex Pareto front. ZDT2 showcases a concave Pareto front. ZDT3 displays five non-convex discontinuous fronts. ZDT4 has multiple local Pareto Fronts and ZDT6 features a disjointed Pareto front...
Another algorithm based on mathematical modeling is presented in [12], but it will be blocked when increasing complexity and non-convex occur during the dispatch. With the development of intelligent optimization algorithm, the other group of methods for solving EED are multi-objective intelligent ...
and at least one is a simple meniscus component whose rear surface is convex to the front and has a radius of curvature not less than 0.33 f 2 and not greater than the range of axial movement of the divergent second member, where f 2 is the equivalent focal length of the second member...
One of them is that DM is usually not able to specify the weights precisely. The other, that a lot of potentially interesting solutions cannot be found that way (e.g. non-convexities of the true Pareto Front). The approach we present here is based on the observation that DM may ...
51). We also learned that the relationship between TRA and TF is nearly linear, whereas it is more complex and non-linear between TRA and CT, given that retrieving a high number of complete tracks requires a high technical tracking accuracy (TRA), but the opposite is not necessarily true....
I decided to use the official NSGA-II KanGAL code to build the NSGA-III, A-NSGA-III and A^2-NSGA-III versions, because I think it is the smoothest way and it is implemented in C. Other shared implementations in Matlab are not fast, so the C solution is preferred. ...
The limitation, however, is that the trade-offs between objectives cannot be easily evaluated when aggregated functions are used. Also, it may be impossible to find an optimal solution if the search space is non-convex (Ngatchou et al., 2005). For instances in which there are more than ...