The paper presents the concept of a genetic algorithm for solving the problem of scheduling production processes, in which there are operations requiring the interaction of resources from at least two, different groups of competences. The considered system is based on flexible flow shop and the ...
The concept of genetic algorithms was introduced by John Holland in the early 1970s. He developed an algorithm for manipulating artificial ‘chromosomes’ (strings of binary digits), using such genetic operations as , and .的答案是什么.用刷刷题APP,拍照搜
geneticsselectionpopulationgeneticalgorithmsreconsidering ReconsideringtheSelectionConceptofGeneticAlgorithmsfromaPopulationGeneticsInspiredPointofViewMichaelAffenzeller,StefanWagnerInstituteofSystemsTheoryandSimulationJohannesKeplerUniversityAltenbergerstrasse69A-4040Linz,Austriaemail:{ma,sw}@cast.uni-linz.ac.atAbstractInthis...
Genetic algorithms: a tool for optimization in econometrics - basic concept and an example for empirical applicationsGenetic AlgorithmSemiparametricsMonte Carlo SimulationThis paper discusses a tool for optimization of econometric models based on genetic algorithms. First, we briefly describe the concept of...
Using a genetic algorithm and formal concept analysis to generate branch coverage test data automatically Grogono, “Using a Genetic Algorithm and Formal Concept Analysis to Generate Branch Coverage Test Data Automatically,” Proceedings of the Inter- national ... S Khor,P Grogono - IEEE 被引量: ...
On the potential of genetic algorithms in urban drainage modeling A genetic algorithm (GA) is a stochastic search algorithm that applies the biological concept of survival of the fittest in order to search for the optimal... W Rauch,P Harremoës - 《Urban Water》 被引量: 64发表: 1999年...
Genetic Algorithm (GA) is used when user searches for something new. GA is used to compare the user's concept network with other user's concept network for similarity, thus helps to get a better search in their area of interest.doi:10.1016/j.procs.2015.02.092K.R. Remesh Babu a...
Development and validation of a genetic algorithm for flexible docking. J. Mol. Biol. 267, 727–748 (1997). Trott, O. & Olson, A. J. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J. Comput. Chem. 31...
Collision avoidance planning of a robot manipulator by using genetic algorithm. A consideration for the problem in which moving obstacles and/or several ro... There have been proposed various approaches for solving the collision avoidance problem of a robot manipulator. However, unfortunately, almost ...
A novel wireless LAN prediction tool using a genetic algorithm and a neural network has been implemented and tested. This prediction tool uses measurement and calibration data to increase the accuracy of signal strength prediction. Moreover, we utilize the genetic algorithm to calculate the environment...