Evolutionary algorithm is one of the algorithms inspired by the nature. Within little more than a decade hundreds of papers have reported successful applications of EAs. In this paper, the Selfish Gene Algorithms (SFGA), as one of the latest evolutionary algorithms (EAs) inspired from the ...
Additionally, a molecular evolutionary study also supports the species’ long-term adaptation to survive nutrient scarcity27. The northeast region of Thailand, where our samples were primarily collected, has inherently low-fertility soil. This is exacerbated by intensified agriculture, monoculture, ...
They also show greater topological centrality and evolutionary divergence in the human connectome when compared to chimpanzee17. These findings support the view that rapid expansion of multimodal association hubs, and the costly, valuable rich-club connections between them, underlies the enhanced cognitive...
Genetic algorithms are among the most popular evolutionary algorithms in terms of the diversity of their applications. A vast majority of well-known optimi... XS Yang - Nature-Inspired Optimization Algorithms 被引量: 6发表: 2014年 Genetic Algorithms This paper describes "genetic algorithms" and hop...
Briefintroductiontogeneticalgorithmsinlecturestyle 13 GeneralIntroductiontoGA’s • Geneticalgorithms(GA’s)areatechniquetosolve problemswhichneedoptimization • GA’sareasubclassofEvolutionaryComputing • GA’sarebasedon Darwin’stheoryofevolution
Multi-robot path planning using co-evolutionary genetic programming genetic programming for figuring the optimal path in a maze-like map, while a master evolutionary algorithm caters to the needs of overall path optimality... R Kala - 《Expert Systems with Applications》 被引量: 128发表: 2012年...
To decipher potential evolutionary trajectories within this large fungal set, we first defined copy numbers of gene families in the 120 fungal genomes based on orthology prediction (n = 41,612; OrthoFinder46) and subsequently predicted the ancestral genome content using the Wagner parsimony ...
Table 5. Sharpe Ratio vs. Runtime. When the constraint was not implemented, we obtained the largest 𝑆ℎ𝑎𝑟𝑝𝑒 𝑅𝑎𝑡𝑖𝑜𝑅𝑢𝑛𝑡𝑖𝑚𝑒Sharpe RatioRuntime, with the algorithm TA-Gilli. This metric can be used when seeking faster solutions, although faster so...
those in the F-Highly palatable foods would be selected against, while those which increased acceptance of F-Acquired foods which are generally more aversive, would expand one’s diet and thus chances of survival. Further, more specific evolutionary genetics studies are needed to test this ...
Local vs. Global Search Strategies in Evolutionary GRID-based Conformational Sampling & Docking Conformational sampling, the computational prediction of the experimental geometries of small proteins (folding) or of protein-ligand complexes (docking), ... D Horvath,L Brillet,S Roy,... - IEEE Congress...