Ecofeminism is a term coined by Françoise D’Eubonne in her book Feminism or Death to show the affinities between ecology and feminism. Both women and nature are perceived as passive elements and like women who complain about patriarchal constraints, ecologists shed light on the impacts of human exploitation over nature which is affected by pollution. Some dimensions of ecofeminism are present in Leslie Marmon Silko’s The Yellow Woman. The postmodern novel contains a female character who forges a link with the (...) natural surroundings and is in a direct contact with some natural elements like plants and animals. What is specific about the heroine is that she escapes her matriarchal society and goes back to nature in order to reconstruct her identity. At the end of the narrative, the female narrator leaves the natural setting and goes back to her family to replay social roles. The present article sets out to study the importance of Mother Nature for the female narrator and to examine the affinities between Earth Mother and the female protagonist. The first part will offer a theoretical background about the basic principles of ecofeminism. Then, my analysis will touch upon the aspects of ecofeminism in the novel. However, the last part will focus on the way the narrator goes beyond her matriarchal culture and reshapes female identity. (shrink)

This paper addresses the job shop scheduling problem including time lag constraints. This is an extension of the job shop scheduling problem with many applications in real production environments, where extra delays can be introduced between successive operations of the same job. It belongs to a category of problems known as NP-hard problem due to large solution space. Biogeography-based optimization is an evolutionary algorithm which is inspired by the migration of species between habitats, recently proposed by Simon in 2008 to (...) optimize hard combinatorial optimization problems. We propose a hybrid biogeography-based optimization algorithm for solving the job shop scheduling problem with additional time lag constraints with minimization of total completion time. In the proposed HBBO, the effective greedy constructive heuristic is adapted to generate the initial population of habitat. Moreover, a local search metaheuristic is investigated in the mutation step in order to ameliorate the solution quality and enhance the diversity of the population. To assess the performance of HBBO, a series of experiments on well-known benchmark instances for job shop scheduling problem with time lag constraints is performed. (shrink)

The enormous scale of the available information and products on the Internet has necessitated the development of algorithms that intermediate between options and human users. These algorithms attempt to provide the user with relevant information. In doing so, the algorithms may incur potential negative consequences stemming from the need to select items about which it is uncertain to obtain information about users versus the need to select items about which it is certain to secure high ratings. This tension is an (...) instance of the exploration–exploitation trade‐off in the context of recommender systems. Because humans are in this interaction loop, the long‐term trade‐off behavior depends on human variability. Our goal is to characterize the trade‐off behavior as a function of human variability fundamental to such human–algorithm interaction. To tackle the characterization, we first introduce a unifying model that smoothly transitions between active learning and recommending relevant information. The unifying model gives us access to a continuum of algorithms along the exploration–exploitation trade‐off. We then present two experiments to measure the trade‐off behavior under two very different levels of human variability. The experimental results inform a thorough simulation study in which we modeled and varied human variability systematically over a wide rage. The main result is that exploration–exploitation trade‐off grows in severity as human variability increases, but there exists a regime of low variability where algorithms balanced in exploration and exploitation can largely overcome the trade‐off. (shrink)

This chapter contains sections titled: * 1 Introduction * 2 Historical Views of Human Nature * 3 Physicalism in Christian Scholarship * 4 Contributions from Contemporary Science * 5 Conclusion * Bibliography.