Hiroshima Shudo University

About: Hiroshima Shudo University is a education organization based out in Hiroshima, Japan. It is known for research contribution in the topics: Differential evolution & Nonlinear programming. The organization has 172 authors who have published 466 publications receiving 7240 citations. The organization is also known as: Hiroshima Shūdō Daigaku.

Body, Psyche, and Culture: The Relationship between Disgust and Morality

Abstract: "Core disgust" is a food related emotion that is rooted in evolution but is also a cultural product. Seven categories of disgust elicitors have been observed in an American sample. These include food, animals, body products, sexual de viance, body-envelope violations, poor hygiene, and contact with death. In addition, social concerns such as interpersonal contamination and socio- moral violations are also associated with disgust. Cross-cultural analyses of disgust and its elicitors using Israeli, Japanese, Greek and Hopi notions of disgust were undertaken. It was noted that disgust elicitors have expanded from food to the social order and have been found in many cultures. Expla nations for this expansion are provided in terms of embodied schemata, which refer to imaginative structures or patterns of experience that are based on bodily knowledge or sensation. A mechanism is suggested whereby disgust elicitors are viewed as a prototypically defined category involving many of the embodied schemata of disgust...

Constrained Optimization by the ε Constrained Differential Evolution with Gradient-Based Mutation and Feasible Elites

Abstract: While research on constrained optimization using evolutionary algorithms has been actively pursued, it has had to face the problem that the ability to solve multi-modal problems, which have many local solutions within a feasible region, is insufficient, that the ability to solve problems with equality constraints is inadequate, and that the stability and efficiency of searches is low. We proposed the epsivDE, defined by applying the epsiv constrained method to a differential evolution (DE). DE is a simple, fast and stable population based search algorithm that is robust to multi-modal problems. The epsivDE is improved to solve problems with many equality constraints by introducing a gradient-based mutation that finds feasible point using the gradient of constraints at an infeasible point. Also the epsivDE is improved to find feasible solutions faster by introducing elitism where more feasible points are preserved as feasible elites. The improved epsivDE realizes stable and efficient searches that can solve multi-modal problems and those with equality constraints. The advantage of the epsivDE is shown by applying it to twenty four constrained problems of various types.

Constrained optimization by the ε constrained differential evolution with an archive and gradient-based mutation

Abstract: The e constrained method is an algorithm transformation method, which can convert algorithms for unconstrained problems to algorithms for constrained problems using the e level comparison, which compares search points based on the pair of objective value and constraint violation of them. We have proposed the e constrained differential evolution (eDE), which is the combination of the e constrained method and differential evolution (DE). It has been shown that the eDE can run very fast and can find very high quality solutions. Also, we proposed the eDE with gradient-based mutation (eDEg), which utilized gradients of constraints in order to solve problems with difficult constraints. In this study, we propose the e constrained DE with an archive and gradient-based mutation (eDEag). The eDEag utilizes an archive to maintain the diversity of individuals and adopts a new way of selecting the e level control parameter in the eDEg. The 18 problems, which are given in special session on “Single Objective Constrained RealParameter Optimization” in CEC2010, are solved by the eDEag and the results are shown in this paper.