Genetic algorithm is used to solve the logistics distribution path planning model, and the model is simplified. The complex multiobjective optimization problem is transformed into a single-objective optimization
According to the multi-objective model in metaheuristic algorithm, best solutions are the category of points in the Pareto front in which none of them will triumph over the other for any of the objective functions and a solution is superior when at least one of the objectives has an optimal ...
He selected tourist destinations based on click frequency and applied the Dijkstra algorithm to find the shortest path between these locations. In route planning, trips by both private and public transportation were analyzed. Hang et al.64 conducted a study on Jeju Island, South Korea, and ...
As a result, the performance of the algorithm is likely to be biased towards easier instances. Secondly, our approach is distinct from other algorithms in that it employs real-valued solutions and path representations as chromosomes, enabling direct operation on instances without the need for ...
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization - jenetics/jenetics
After the algorithm generates the parameters of the prismatic structure, the model is built and imported into the optical simulation software for ray-tracing analysis via Python. The algorithm's fitness function can score the ray tracing data and do the iteration to obtain the optimal parameters ...
Each combination of training set and algorithm was averaged over 100 iterations for accuracy estimate. The mean squared errors (MSEs) of the mod- els were assessed for model reliability (Additional file 19). GEBVs of the inbred tomato set was validated using the F2 population set (...
The fresh-market tomato (Solanum lycopersicum) is bred for direct consumption and is selected for a high yield of large fruits. To understand the genetic variations (distinct types of DNA sequence polymorphism) that influence the yield, we collected the phenotypic variations in the yields of total...
Different initial populations were set using a genetic algorithm to determine the optimal source areas for the WRB. The minimum cumulative resistance model (MCR) was used to extract the ecological corridors, and then a comparison was made before and after. The results showed that the ecological ...
The algorithm is coded in python and run on a personal computer (CPU: AMD Ryzen™ 7, 5800H with Radeon Graphics @ 3.2 GHz; RAM: 16 GB; OS: Windows 10, 64-bit). Original data of model files and code of DADGA in this study are available at Mendeley Data (DOIhttps://doi.org/...