Many real-life problems have a natural representation in the framework of multiobjective optimization. Evolutionary algorithms are generally considered one of the most successful methods for solving the multiobjective optimization problems. In this paper we present state-of-the-art multiobjective evolutionary algorithms and briefly discuss their advantages and disadvantages. In the last section...

The cause of asperities (i.e., high-slip regions) remains the subject of much debate in seismology. Several tomography studies have reported previously that high-velocity bodies coincide with asperities. However, it remains unclear whether the heterogeneity of the crust generates these asperities. This can be addressed by conducting stress analysis. The 2004 Chuetsu, Japan earthquake is one of ...

and Applied Analysis 3 particle swarm optimization PSO was first proposed by Kennedy and Eberhart 16 . In PSO, a swarm of particles spread in the search space and the position of a particle presents a solution. Each particle would move to a new position decided with the individual experience and the global experience heading toward the global optimum. However, many variations of PSO have been s...

Section 1, Neurobiolo~, will accept manuscripts on a broad range of experimental approaches which aim to understand the neuronal mechanisms that underlie vision. Relevant ideas include physiological optics, phototransduction, neurotransmitters, functional anatomy, electrophysiology, development and regeneration. The Editors seek submissions concerning structure and function at all levels of vis...

Space-planted populations derived from 'Holt' and 'Oto' indiangrass, Sorghastrum nutans (L.) Nash, were used to obtain heritability estimates for forage yield, in vitro dry matter digestibility (IVDMD), crude protein, and heading date and to determine their genotypic correlations. Heritability estimates were determined by variance component analyses and by parent-progeny regression. Average nar...

To control the swarm to fly inside the limited search space and deal with the problems of slow search speed and premature convergence in particle swarm optimization algorithm, the authors applied the theory of topology, and proposed a novel quotient space-based boundary condition named QsaBC by using the properties of quotient space and homeomorphism in this paper. In QsaBC, Search space-zoomed...

Swarm Intelligence algorithms have been extensively applied to solve optimization problems. However, in some domains even well-established techniques such as Particle Swarm Optimization (PSO) may not present the necessary ability to generate diversity during the process of the swarm convergence. Indeed, this is the major difficulty to use PSO to tackle dynamic problems. Many efforts to overcome...

We present a newly developed Replica Exchange algorithm using q -Gaussian Swarm Quantum Particle Optimization (REX@q-GSQPO) method for solving the problem of finding the global optimum. The basis of the algorithm is to run multiple copies of independent swarms at different values of q parameter. Based on an energy criterion, chosen to satisfy the detailed balance, we are swapping the particle c...

Progress on two main studies on fungal ectomycorrhizal communities in the Sierra National Forest is discussed. One study examined the short-term effects of ground fire on the ectomycorrhizal community and the other examined the ectomycorrhizal associates of snow plant (Sarcodes sanguinea). In the ground-fire study we found that a large initial reduction in ectomycorrhizal biomass is caused prim...

To develop rabbit breeding it is common to try to transfer sophisticated technologies from industrialized to tropical countries. But the success is not sure. Frequently infrastructures are not sufficient. to support the needs of complex production systems and market is unable to trade large scale productions, To import buildings andor cages is very expensive and to control the environment is mo...