Genetic algorithmIntelligent and knowledgebased systemSchedulingCloud computing became a popular technology which influence not only product development but also made technology business easy. The services like infrastructure, platform and software can reduce the complexity of technology requirement for any ...
The article presents and generalizes the results on some performance indicators of genetic algorithm developed by authors and applied to effective search queries and selection of relevant results after document subject search. It is shown that the developed technology expands opportunities of semantic searc...
Keywords: uncertainty integration method; unit commitment; scenario integration technique; improved genetic algorithm; operating cost 1. Introduction Global environmental problems are becoming a major issue in the power industry. Recently, renewable energies such as wind and solar have become preferable, ...
The two sets of cycle-break algorithms, differing only in the context of information they use, are described. The first algorithm requires only the network AM and the second set of algorithms use only the EC information to obtain the radial network structure. The cycle-break algorithm which ...
Algorithm 1: Generate Random Seed Once Data: round: number of tournaments that are conducted population: number of chromosomes that are in an island Input: survive; fitness Function: clock(): access the system time from GPU rand_initiate(): initiate the state of random number generator rand_...
4.2. Fitness Function The role of the fitness function in the genetic algorithm is to evaluate the value of each chromosome with respect to the objective function of the mathematical model. As a result, Equations (3) and (4) are used as the fitness function of model 1 and model 2, ...
A Novel Real Coded Genetic Algorithm for Software Mutation Testing. Symmetry 2022, 14, 1525. [CrossRef] 99. Di Giulio, M. The error minimization of the genetic code would have been determined by natural selection and not by a neutral evolution. Biosystems 2023, 224, 104838. [CrossRef] ...
IQ-TREE: A fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol. Biol. Evol. 2014, 32, 268–274. [CrossRef] 50. Puillandre, N.; Lambert, A.; Brouillet, S.; Achaz, G. ABGD, Automatic Barcode Gap Discovery for primary species delimitation. Mol. ...