Table 3. Advantages, disadvantages and further applications of Evolutionary algorithms. AlgorithmAdvantagesDisadvantagesApplications Evolutionary Algorithms (EA) 1) No presumptions w.r.t problem space 1) No guarantee for optimal solution within finite time 1) Numerical & computational optimization Empty...
Combined anticancer therapies: an overview of the latest applications. Anticancer Agents Med. Chem. 15, 408–422 (2015). CAS PubMed Google Scholar Hill, J. A., O'Meara, T. R. & Cowen, L. E. Fitness trade-offs associated with the evolution of resistance to antifungal drug combinations...
The German cockroach (Blattella germanica L.) is a worldwide pest that lives exclusively in human environments. B. germanica threatens human health by producing asthma-triggering allergens, vectoring pathogenic/antibiotic-resistant microbes, and by contr
A review of evolutionary graph theory with applications to game theory PauloShakarian, ...AnthonyJohnson, inBiosystems, 2012 6.1Evolutionary stability on graphs Evolutionary stability, describing the ability of a player type comprising a population to be resistant against invasion by another type, is ...
Gisela C. StotzDepartment of Biological SciencesErnesto GianoliDepartment of Biological SciencesJames F. Cahill JrDepartment of Biological SciencesEvolutionary ApplicationsStotz, G.C., Gianoli, E. & Cahill, J.F. (2016) Spatial pattern of invasion and the evolutionary responses of native plant species...
Significant improvements in cross-population genomic prediction for GY suggest that prioritization of SNPs by predicted PNC could be useful for breeding applications (e.g., genomic pre-breeding [58, 59], or genomic selection in understudied populations [60,61,62]). They also suggest that ...
original articles that advance the state-of-the art of all aspects of evolutionary computation and swarm intelligence. Survey papers reviewing the state-of-the-art of timely topics will also be welcomed as well as novel and interesting applications. Topics of interest include but are not limited ...
Understanding and exploiting genetic diversity is a key factor for the productive and stable production of rice. Here, we utilize 73 high-quality genomes that encompass the subpopulation structure of Asian rice (Oryza sativa), plus the genomes of two wil
To directly identify loci associated with phenotypic trait variation, we performed GWAS for each trait individually using a mixed linear model. Because the mapping population showed genetic heterogeneity due to population structure, we included the GRM as a random factor to control forpvalue inflation...
In this section, we summarize the contributions of EC-based applications obtained by Chinese researchers. 4.1. EC based methods applied in data mining Data mining is an important step in knowledge discovery in database (KDD) as the volume of data grows rapidly in modern times. To the best ...