A Panel Discussion on Representation of Violence in the Cinema

Lecture on the topic of the representation of violence in motion pictures, presented at Books & Books Coral Gables on January 29, 2013.

Feasts of power : how food reveals Eve's influential role in John Milton's epic poem, "Paradise Lost"

This writing explores how food in Paradise Lost reflects Eve's power in the story of man's (and woman's) fall from grace. Critics often emphasize Adam in Paradise Lost; however, I challenge the notion of the first man as the most influential character of the poem. By examining Eve's role and her abilities with food, one sees the first woman as a well-rounded, complete being, albeit the first to succumb to temptation. Notwithstanding her transgression, -- certainly no trivial act of disobedience -- Eve should be viewed at least as Adam's equal, if not his superior. Her uncanny understanding of matters related to food points to skills Adam does not enjoy, and even Milton acknowledges Eve's importance in this arena. By studying the food in this epic, we see Eve sheds much light on all the other elements of Paradise Lost, and her personal strengths become obvious.

Modified continuous ant colony algorithm for function optimization

Many classical as well as modern optimization techniques exist. One such modern method belonging to the field of swarm intelligence is termed ant colony optimization. This relatively new concept in optimization involves the use of artificial ants and is based on real ant behavior inspired by the way ants search for food. In this thesis, a novel ant colony optimization technique for continuous domains was developed. The goal was to provide improvements in computing time and robustness when compared to other optimization algorithms. Optimization function spaces can have extreme topologies and are therefore difficult to optimize. The proposed method effectively searched the domain and solved difficult single-objective optimization problems. The developed algorithm was run for numerous classic test cases for both single and multi-objective problems. The results demonstrate that the method is robust, stable, and that the number of objective function evaluations is comparable to other optimization algorithms.