La estimación de parámetros genéticos en plantas y animales es gran relevancia las ciencias agropecuarias biológicas. En este contexto, los efectos varianzas aptitud combinatoria, la heredabilidad, heterosis, respuesta a selección, identificación progenitores cruzas simples sobresalientes, así como predicción híbridos mayor producción calidad, depende del tipo diseño apareamiento experimental e...

The soybean crop is prominent in national and international scenarios. A large part of the world production cultivated Brazil this has been possible due to performance different technological areas, among them genetics plant breeding. Soybean breeding acted development launch new cultivars for it required studies interaction genotypes x environments those adaptability stability. Thus, objective...

Modelos matemáticos podem definir tecnologias de manejo mais estáveis e eficientes nosnsistemas cultivo. No cultivo da aveia, auxiliar na busca redução doses adubação nitrogenada, sem impactar a produtividade grãos. O objetivo do trabalho é empregar modelos estabilidade para definição uma dose mínima nitrogênio que promova com grãos aveia maior sustentabilidade. delineamento experimental foi bl...

Particle swarm optimization method is based on artificial intelligence technique. It is an optimization method that was developed in 1995 by Eberhart and Kennedy based on the social behaviors of fish schooling or birds flocking. By increasing the overall rate of fault detection, a greater number of errors can be found more rapidly in the code. Particle , fitness function , local best , global b...

We investigate the runtime of the Binary Particle Swarm Optimization (PSO) algorithm introduced by Kennedy and Eberhart (1997). The Binary PSO maintains a global best solution and a swarm of particles. Each particle consists of a current position, an own best position and a velocity vector used in a probabilistic process to update the particle’s position. We present lower bounds for a broad cla...

Swarm Intelligence (SI) is an artificial intelligence technique based around the study of collective behavior in decentralized, self-organized systems. SI systems are typically made up of a population of simple agents interacting locally with one another and with their environment. Although there is normally no centralized control structure dictating how individual agents should behave, local i...

This paper presents an efficient and reliable Particle Swarm Optimization (PSO) algorithm for solving Power System Restoration (PSR). The main objective is that after an incident due to electrical failure, power system restoration becomes a complex process involving decision-making problems of combinatory nature that can be formulated as a multi-stage, nonlinear, continuous and binary constrain...

We analyzed productivity data obtained from experiments on grain sorghum conducted in 7 locations of its cultivation in Brazil. A total of 25 hybrids were analyzed, of which 22 were pre-commercial and 3 were cultivars. The Wricke and Purchase et al. methods were highly consistent in identifying individuals with low contributions to genotype x environment interactions. The Lin and Binns method p...