A5105767250- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Genetic Mapping and Diversity in Plants and Animals
- Evolutionary Algorithms and Applications
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Greenhouse Technology and Climate Control
- Nutrition, Genetics, and Disease
- Plant nutrient uptake and metabolism
- Genomics and Rare Diseases
- Vehicle Routing Optimization Methods
- Insect and Arachnid Ecology and Behavior
- Analog and Mixed-Signal Circuit Design
- Genomics and Phylogenetic Studies
- Plant Reproductive Biology
- Numerical Methods and Algorithms
- Algorithms and Data Compression
- Advanced Data Compression Techniques
- Digestive system and related health
- Robotic Path Planning Algorithms
- Genetics and Plant Breeding
- Fault Detection and Control Systems
- Evolution and Genetic Dynamics
- Plant Disease Resistance and Genetics
- Machine Fault Diagnosis Techniques
Kansas State University
2014-2019
University of Utah
2015
Star Center
2015
Boston College
2011-2014
Oklahoma State University Oklahoma City
2010-2012
Oklahoma State University
2001-2010
Signal Processing (United States)
2001
Abstract Background Rare coding variants constitute an important class of human genetic variation, but are underrepresented in current databases that based on small population samples. Recent studies show altering amino acid sequence and protein function enriched at low variant allele frequency, 2 to 5%, because insufficient sample size it is not clear if the same trend holds for rare below 1% frequency. Results The 1000 Genomes Exon Pilot Project has collected deep-coverage exon-capture...
A multiple-swarm multiobjective particle swarm optimization (PSO) algorithm, named dynamic multiple swarms in PSO, is proposed which the number of adaptively adjusted throughout search process via strategy. The strategy allocates an appropriate as required to support convergence and diversity criteria among swarms. Additional novel designs include a PSO updating mechanism better manage communication within objective space compression expansion progressively exploit during process....
Summary Improved predictions of fitness and yield may be obtained by characterizing the genetic controls environmental dependencies organismal ontogeny. Elucidating shape growth curves reveal novel that single‐time‐point ( STP ) analyses do not because, in theory, infinite numbers can result same final measurement. We measured leaf lengths widths Brassica rapa recombinant inbred lines RIL s) throughout modeled allometry as function valued traits FVT ), examined correlations between these...
Plant developmental dynamics can be heritable, genetically correlated with fitness and yield, undergo selection. Therefore, characterizing the mechanistic connections between genetic architecture governing plant development resulting ontogenetic of plants in field settings is critically important for agricultural production evolutionary ecology. We use hierarchical Bayesian Function-Valued Trait (FVT) models to estimate Brassica rapa growth curves throughout ontogeny, across two treatments,...
Abstract Predicting phenotypes based on genotypes and understanding the effects of complex multi-locus traits plant performance requires a description underlying developmental processes, growth trajectories, their genomic architecture. Using data from Brassica rapa grown in multiple density settings seasons, we applied hierarchical Bayesian Function-Valued Trait (FVT) approach to fit logistic curves leaf phenotypic (length width) characterize development. We found evidence genetic variation...
In this paper, the proposed constrained multiobejctive particle swarm optimization (MOPSO) adopts multiobjective constraint handling framework and includes following design features: An infeasible global best archive to guide particles towards feasible region(s); procedures update personal are designed encourage finding regions convergence Pareto front; acceleration constants in equation adjusted during search process more or for better solutions; mutation operators adopted local searches....
The standard FIR filter design approach which uses ideal coefficients determined by a algorithm such as remez exchange, windowing, or similar techniques, rounding truncating the to specific number of bits and realizing digital using one structures generates filters with considerably more hardware than is required meet original specifications. By new public-domain computer program written in Matlab, can be designed one-third techniques. In typical example described Xilinx application notes,...
In this article, the authors propose a particle swarm optimization (PSO) for constrained optimization. The proposed PSO adopts multiobjective approach to constraint handling. Procedures update feasible and infeasible personal best are designed encourage finding regions convergence toward Pareto front. addition, nondominated solutions stored in global archive exploit hidden information guiding particles regions. Furthermore, number of memory scalar violations used adapt acceleration constants...
ABSTRACT Plant developmental dynamics can be heritable, genetically correlated with fitness and yield, undergo selection. Therefore, characterizing the mechanistic connections between genetic architecture governing plant development resulting ontogenetic of plants in field settings is critically important for agricultural production evolutionary ecology. We use a hierarchical Bayesian Function-Valued Trait (FVT) approach to estimate Brassica rapa growth curves throughout ontogeny, across two...