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 problem through preference vector. The genetic algorithm and open-source algorith...
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization - jenetics/jenetics
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 ...
The depth of the tree refers to the length of the longest path from the root node to a terminal node, which in turn sets the GP tree’s maximum size. This depth impacts on the computational complexity and the ability of the GP algorithm to find the optimal solution. The function set de...
Furthermore, a novel optimal ensemble approach using a genetic algorithm (GA) has been proposed using vDR models called vDR-GAE. The performance of both proposed models is evaluated using recent 30-year univariate air temperature datasets from fifteen significant cities worldwide, with RMSE, MAPE,...
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 ...
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...
Jeneticsis aGenetic Algorithm,Evolutionary Algorithm,Grammatical Evolution,Genetic Programming, andMulti-objective Optimizationlibrary, written in modern day Java. It is designed with a clear separation of the several concepts of the algorithm, e.g.Gene,Chromosome,Genotype,Phenotype,Populationand fitnessFunc...