English - Essay Example | Topics and Well Written Essays - 1000 words

English - - Essay Example Both papers agree that addictions are â€Å"rooted in unhappiness†, though Dr. Mate in his essay states this from the onset and Mr. Alexander takes two pages through various information in history to bring this point across. Nevertheless, they are agreed that one does not become addicted simply because one â€Å"wants† to be addicted to something; there must be some underlying cause within a person’s life to quite literally â€Å"force† them into addiction, whether it be drugs, alcohol, or anything else. Both essays state clearly that there must be some unhappiness or something on the whole that the person is lacking, that is then filled when the addiction is discovered. However, in reading both papers, while they present differing viewpoints on the issue of addiction, it is my belief that the more fair, just, and realistic attitude is expressed by Dr. Gabor Mate in his essay, â€Å"Embraced by the Needle†, because unlike Mr. Alexander, Dr. Mate end eavors to approach the issue of addiction by individual example with firsthand information, and not blaming society as a whole. The issue of addiction is thoroughly and repeatedly discussed from different viewpoints in both papers. Mr. Alexander tries to make the point that free-market societies are to blame for society’s ills and addictions, by treating them badly and displacing them, while Dr. Mate takes a more firsthand approach to the issue. Though Mr. Alexander cites many case histories throughout his essay, â€Å"Addiction in Free Markets†, they are always in the third person, and not one is backed by data or facts outside of his observations of the early 21st century and the historical nature of his work. Specifically discussed in â€Å"Addictions in Free Markets† are the plights of Native Americans to become easily addicted to alcohol, citing that society is to blame because it ‘dislocated’ them by making them leave their original tribal lan d. Mr. Alexander also states that before this â€Å"forced dislocation† had occurred, alcohol was rarely used or consumed by Native Americans, sometimes only in ceremonial purposes; therefore, the blame is on the free-market society that pushed the Native Americans from their land. In presenting this issue, Mr. Alexander does not quote one Native American, nor does he use scientific studies to back up his claims, thereby only presenting one issue and only one side of that issue. Though history sometimes speaks for itself, the voices of those living with the dislocation (even generations later) would have presented a more fair, and just, approach to the topic, as Dr. Mate presents in his paper by using firsthand quotes and case studies with his patients. Mr. Alexander also makes the point that â€Å"free-market societies universally dislocate their members, leading to mass addiction.† Can one action really doom a set of people? The answer is no. Each and every person is an individual, and therefore it is up to them how they deal with a set of circumstances. No two people are alike, and therefore cannot be expected to react or deal with a situation the same way. Much of Mr. Alexander’s essay focuses on the fact that because a certain group of people were dislocated or displaced, they were doomed from the outset, no matter what happened. While Dr. Mate agrees that there must be some underlying cause or issue in addiction, he prefers to present each person as a unique individual. While it is true that Dr. Mate uses group

Truss Optimisation Dissertation Example | Topics and Well Written Essays - 2500 words

Truss Optimisation - Dissertation Example Ghasemi et al. (1999) have revealed the appropriateness of the genetic algorithms to deal with the large trusses that have numerous indefinite variables. This study shows that how an algorithm of our design can be employed to match this previous study. The paper will hugely concentrate over the application of genetic algorithm to trusses developed under indefinite conditions (Ganzerli et al., 2003). 1.1. Background Galileo Galilei has been recognized as the first scientist by the Coello Coello et al. (1994), who studied optimization of structures over the bending of beams in his work. Over the period of time, this subject has developed and become an area of engineering, in itself, which is known as the structural optimization. For the last few decades, the rising interest towards this area has been because of the availability of powerful and cheap computers as well as due to the rapid progress in the analytic and optimization methods for the structures (Soh and Yang, 1998). The optim ization of the weight of the structures is of great importance to many fields of engineering. It might be linked to cost optimization, in some aspects, as it clearly tends towards an optimal usage of the materials. The weight optimized structures, in civil engineering, are very convenient as the construction as well as the transportation work in, relation to the build-up, is simple. The engagement of the least possible share of the load capacity by the structure itself is another benefit of developing a structure with its weight being optimized. Also, in the aircraft and car industries, the structural optimization is highly important since a lighter structure leads to a better fuel efficiency. The use of genetic algorithms is an efficient optimization technique. GA is a form of evolutionary programming (Alander, 1999) and most likely known as the best optimization technique of the present time (Ashlock, 2006). It provokes the evolutionary principle of survival of the fittest through aggregating the optimum solutions to a problem in numerous generations in order to augment the outcome gradually. The elementary population of solutions is constructed on the random basis and then along with the evolution, the best solutions are aggregated in each generation until they converged in to an optimal solution (Gold Berg, 1989). 1.2. Literature Review Over the previous two decades, the genetic algorithms have been used in search for an optimal design solution for trusses that has been explained in numerous scientific reports. However the optimization in the majority of these studies does not relate to shape, size and topology simultaneously. In general, the topology of the truss is fixed that means the inner connectivity of the members is constant (Ravindran and Ragsdell, 2006). The most frequently used method to deal with the optimization of the truss topology is the ground structure method that has been used by Hajela & Lee (1995) and Deb & Gulati (2000) in their work. An extremely connected ground structure having numerous nodes and elements, in the ground structure method, is gradually minimized until just the basic required elements are left (Ohsaki, 2005). The emphasis has been over the development of a highly efficient genetic algorithm, in some of the recent studies on truss optimization with GA, which determines an optimal solution through the least possible number of calculations such as the adaptive approach given by Togan & Daloglu (2006) and the directed mutation