„Genetic Algorithm“

Suchergebnisse

6.351 Treffer

• Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors
  Ciesielski, Timothy H. ; Pendergrass, Sarah A. ; White, Marquitta J. ; Kodaman, Nuri ; Sobota, Rafal S. ; Huang, Minjun ; Bartlett, Jacquelaine ; Li, Jing ; Pan, Qinxin ; Gui, Jiang ; Selleck, Scott B. ; Amos, Christopher I. ; Ritchie, Marylyn DeRiggi ; Moore, Jason H. ; Williams, Scott M.
• Structure Prediction of Inorganic Nanoparticles with Predefined Architecture using a Genetic Algorithm †
  Woodley, Scott M. ; Sokol, Alexey A. ; Catlow, Charles R. A.
• Metrics for the assessment of structural design efficiency applied to steel‐framed industrial buildings
  Ljubinković, Filip ; Conde, Jorge Conde ; Gervásio, Helena ; Silva, Luís Simões ˜daœ
• Genetic algorithms applied to integration and optimization of billing and picking processes
  Pinto, Anderson Rogério Faia ; Nagano, Marcelo
• Inherited Platelet Function Disorders: Algorithms for Phenotypic and Genetic Investigation
  Gresele, Paolo ; Bury, Loredana ; Falcinelli, Emanuela
• Applications of evolutionary computation – proceedings
  Di Chio, Cecilia ; Agapitos, Alexandros ; Cagnoni, Stefano ; Cotta, Carlos ; Fernández de Vega, Francisco ; DiCaro, Gianni A. ; Drechsler, Rolf ; Ekárt, Anikó ; Esparcia-Alcázar, Anna I. ; Farooq, Muddassar ; Langdon, W.B. ; Merelo-Guervós, Juan-J. ; Preuß, Mike ; Richter, Hendrik ; Silva, Sara ; Simões, Anabela ; Squillero, Giovanni ; Tarantino, Ernesto ; Tettamanzi, Andrea ; Togelius, Julian ; Urquhart, Neil ; Uyar, A. Sima ; Yannakakis, Georgios N. 2012 Springer
• CNRein: an evolution-aware deep reinforcement learning algorithm for single-cell DNA copy number calling
  Ivanovic, Stefan ; El-Kebir, Mohammed
• Using genetic algorithms to evolve three-dimensional microstructures from two-dimensional micrographs
  Basanta, David ; Miodownik, Mark A. ; Holm, Elizabeth A. ; Bentley, Peter J.
• Application of the genetic algorithm to estimate the parameters related to the kinetics of the reduction of the iron ore, coal mixture
  Kumar, Amit ; Roy, G. G.
• Role of non-coding RNAs in quality improvement of horticultural crops: computational tools, databases, and algorithms for identification and analysis
  Bashir, Tanzeel ; Husaini, Amjad M.
• Genetic Algorithm-based Control of a Two-Wheeled Self-Balancing Robot
  Papadimitriou, Kleon Dimitrios ; Murasovs, Nikita ; Giannaccini, Maria Elena ; Aphale, Sumeet
• Genetic algorithm-optimized artificial neural network for multi-objective optimization of biomass and exopolysaccharide production by Haloferax mediterranei
  Rawahi, Alaa M. Al ; Zafar, Mohd ; Khan, Taqi Ahmed ; Araimi, Sara Al ; Mahanty, Biswanath ; Behera, Shishir Kumar
• Optimisation of job shop scheduling problem using genetic algorithm and simulated annealing: a case study of manufacturing industry
  Phanden, Rakesh Kumar ; Gupta, Shrajal ; Wolde, Biruk ; Kumar, Ravinder ; Chakraborty, Ayon
• Tailoring complex weld geometry through reliable heat-transfer and fluid-flow calculations and a genetic algorithm
  Kumar, A. ; Debroy, T.
• Collaborative task allocation for heterogeneous UAV coalitions with resource requirements based on multi-genotype genetic algorithm
  Zhang, Xiaoyong ; Yue, Wei
• Utilizing the real estate investment trusts for portfolio optimisation by application of genetic algorithm
  XU, Li ; Matac, Liviu Marian ; Espinosa Cristia, Juan Felipe ; Dias, Rui ; Pavel, Codruta-Daniela
• Location and capacity optimization of EV charging stations using genetic algorithms and fuzzy analytic hierarchy process
  Choi, Minje ; Fan, Yee Van ; Lee, Doyun ; Kim, Sion ; Lee, Seungjae
• A nested genetic algorithm strategy for an optimal seismic design of frames
  Greco, A. ; Cannizzaro, F. ; Bruno, Roberto ; Pluchino, A.
• Adaptive aerodynamic part feeding enabled by genetic algorithm
  Blankemeyer, Sebastian ; Kolditz, Torge ; Busch, Jan ; Seitz, Melissa ; Nyhuis, Peter ; Raatz, Annika 2022 Gottfried Wilhelm Leibniz Universität Hannover
• A genetic iterated greedy algorithm for the blocking flowshop to minimize total earliness and tardiness
  Prata, Bruno de Athayde ; Fuchigami, Helio Yochihiro