Abstract This essay explores feelings conjured through the poetic works of June Jordan, Sonia Sanchez, Carolyn M. Rodgers, and Audre Lorde performed dance. In an effort to stray away from dance as representation, movement in form manifests inner memories that poetry prompts. I argue for vulnerability intentional giving self makes this process possible felt by viewer. The entails embodied knowle...

Complement C4 is a highly polymorphic protein essential for the activation of the classical complement pathway. Most of the allelic variation of C4 resides in the C4d region. Four polymorphic amino acid residues specify the isotype and an additional four specify the Rodgers and Chido determinants of the protein. Rare C4 allotypes have been postulated to originate from recombination between high...

Large set of linear equations, especially for sparse and structured coefficient (matrix) equations, solutions using classical methods become arduous. And evolutionary algorithms have mostly been used to solve various optimization and learning problems. Recently, hybridization of classical methods (Jacobi method and Gauss-Seidel method) with evolutionary computation techniques have successfully ...

We propose a new perspective for solving systems of nonlinear equations by viewing them as a multiobjective optimization problem where every equation represents an objective function whose goal is to minimize the difference between the rightand left-hand side of the corresponding equation of the system. An evolutionary computation technique is suggested to solve the problem obtained by transfor...

This paper proposes an image inpainting method based on evolutionary algorithm. The main idea of the proposed method is to restore the structure information and texture information separately. The structure information is extracted from the damaged image which is presented by several contour lines. An optimizing method based on evolutionary algorithm is proposed to analyze the structure informa...

The quantum evolutionary algorithm is based on the quantum superposition state and the quantum computing. Compared to the traditional evolutionary algorithm, QEA has great global search ability; however, its complexity limits the operational ability and the efficiency, at the same time, its local search ability is relatively poor. In this paper, the author presents an improved hybrid intelligen...

In a heterogeneous multi-robot team, a task solution is highly dependent on the available collection of robots and their sensing and computational capabilities. We are interested in the problem of automatic synthesis of task solutions. Previous solutions to this problem include a heuristic search on the whole solution space or using an offline genetic algorithm for generating schema chunks and ...

Recently hybrid evolutionary computation (EC) techniques are successfully implemented for solving large sets of linear equations. All the recently developed hybrid evolutionary algorithms, for solving linear equations, contain both the recombination and the mutation operations. In this paper, two modified hybrid evolutionary algorithms contained time-variant adaptive evolutionary technique are ...

Classical image processing methods often face great difficulties while dealing with images containing noise and distortions. Under such conditions, the use of soft computing approaches has been recently extended to address challenging real-world image processing problems. The automatic detection of Leukocytes or White Blood Cells (WBC) still remains as an unsolved issue in medical imaging. The ...

This paper introduces an Automatic Wire Routing (AWR) algorithm based on evolutionary principles. In the proposed algorithm (dubbed EWRA, where "E" stands for evolutionary), populations of wiring networks evolve through the action of stochastic operators conceived from the heuristics of manual wire-routing. In each wiring configuration (individual of the population), all nets are routed and tem...