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This book provides novel and thought-provoking insights into the fundamental policy issues involved in agricultural biotechnology. Thomas Bernauer explains global regulatory polarization and trade conflict in this area. He then evaluates co-operative and unilateral policy tools for coping with trade tensions. Arguing that the tools used thus far have been and will continue to be ineffective, he concludes that the risk of a full-blown trade conflict is high and may lead to reduced investment and the decline of the technology. Bernauer concludes with suggestions for policy reforms to halt this trajectory -recommendations that strike a balance between public-safety concerns and private economic freedom - so that food biotechnology is given a fair chance to prove its environmental, health, humanitarian and economic benefits.
Experts from the world's major financial institutions contributed to this work and have already used the newest technologies. Gives proven strategies for using neural networks, algorithms, fuzzy logic and nonlinear data analysis techniques to enhance profitability. The latest analytical breakthroughs, the impact on modern finance theory and practice, including the best ways for profitably applying them to any trading and portfolio management system, are all covered.
This anchor volume to the series Managing Global Genetic Resources examines the structure that underlies efforts to preserve genetic material, including the worldwide network of genetic collections; the role of biotechnology; and a host of issues that surround management and use. Among the topics explored are in situ versus ex situ conservation, management of very large collections of genetic material, problems of quarantine, the controversy over ownership or copyright of genetic material, and more.
"The book...is, in fact, a short text on the many practical problems...associated with translating the explosion in basic biotechnological research into the next Green Revolution," explains Economic Botany. The book is "a concise and accurate narrative, that also manages to be interesting and personal...a splendid little book." Biotechnology states, "Because of the clarity with which it is written, this thin volume makes a major contribution to improving public understanding of genetic engineering's potential for enlarging the world's food supply...and can be profitably read by practically anyone interested in application of molecular biology to improvement of productivity in agriculture."
This book presents a genetic algorithm that optimizes a grid template pattern detector to find the best point to trade in the SP 500. The pattern detector is based on a template using a grid of weights with a fixed size. The template takes in consideration not only the closing price but also the open, high, and low values of the price during the period under testing in contrast to the traditional methods of analysing only the closing price. Each cell of the grid encompasses a score, and these are optimized by an evolutionary genetic algorithm that takes genetic diversity into consideration through a speciation routine, giving time for each individual of the population to be optimized within its own niche. With this method, the system is able to present better results and improves the results compared with other template approaches. The tests considered real data from the stock market and against state-of-the-art solutions, namely the ones using a grid of weights which does not have a fixed size and non-speciated approaches. During the testing period, the presented solution had a return of 21.3% compared to 10.9% of the existing approaches. The use of speciation was able to increase the returns of some results as genetic diversity was taken into consideration.
This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1977.
When you combine nature's efficiency and the computer's speed, thefinancial possibilities are almost limitless. Today's traders andinvestment analysts require faster, sleeker weaponry in today'sruthless financial marketplace. Battles are now waged at computerspeed, with skirmishes lasting not days or weeks, but mere hours.In his series of influential articles, Richard Bauer has shown whythese professionals must add new computerized decision-making toolsto their arsenal if they are to succeed. In Genetic Algorithms andInvestment Strategies, he uniquely focuses on the most powerfulweapon of all, revealing how the speed, power, and flexibility ofGAs can help them consistently devise winning investmentstrategies. The only book to demonstrate how GAs can workeffectively in the world of finance, it first describes thebiological and historical bases of GAs as well as othercomputerized approaches such as neural networks and chaos theory.It goes on to compare their uses, advantages, and overallsuperiority of GAs. In subsequently presenting a basic optimizationproblem, Genetic Algorithms and Investment Strategies outlines theessential steps involved in using a GA and shows how it mimicsnature's evolutionary process by moving quickly toward anear-optimal solution. Introduced to advanced variations ofessential GA procedures, readers soon learn how GAs can be usedto: * Solve large, complex problems and smaller sets of problems * Serve the needs of traders with widely different investmentphilosophies * Develop sound market timing trading rules in the stock and bondmarkets * Select profitable individual stocks and bonds * Devise powerful portfolio management systems Complete with information on relevant software programs, a glossaryof GA terminology, and an extensive bibliography coveringcomputerized approaches and market timing, Genetic Algorithms andInvestment Strategies unveils in clear, nontechnical language aremarkably efficient strategic decision-making process that, whenimaginatively used, enables traders and investment analysts to reapsignificant financial rewards.
Genetic algorithms (GAs) are based on Darwin’s theory of natural selection and survival of the fittest. They are designed to competently look for solutions to big and multifaceted problems. Genetic algorithms are wide groups of interrelated events with divided steps. Each step has dissimilarities, which leads to a broad range of connected actions. Genetic algorithms are used to improve trading systems, such as to optimize a trading rule or parameters of a predefined multiple indicator market trading system. Genetic Algorithms and Applications for Stock Trading Optimization is a complete reference source to genetic algorithms that explains how they might be used to find trading strategies, as well as their use in search and optimization. It covers the functions of genetic algorithms internally, computer implementation of pseudo-code of genetic algorithms in C++, technical analysis for stock market forecasting, and research outcomes that apply in the stock trading system. This book is ideal for computer scientists, IT specialists, data scientists, managers, executives, professionals, academicians, researchers, graduate-level programs, research programs, and post-graduate students of engineering and science.
Genetically engineered (GE) crops were first introduced commercially in the 1990s. After two decades of production, some groups and individuals remain critical of the technology based on their concerns about possible adverse effects on human health, the environment, and ethical considerations. At the same time, others are concerned that the technology is not reaching its potential to improve human health and the environment because of stringent regulations and reduced public funding to develop products offering more benefits to society. While the debate about these and other questions related to the genetic engineering techniques of the first 20 years goes on, emerging genetic-engineering technologies are adding new complexities to the conversation. Genetically Engineered Crops builds on previous related Academies reports published between 1987 and 2010 by undertaking a retrospective examination of the purported positive and adverse effects of GE crops and to anticipate what emerging genetic-engineering technologies hold for the future. This report indicates where there are uncertainties about the economic, agronomic, health, safety, or other impacts of GE crops and food, and makes recommendations to fill gaps in safety assessments, increase regulatory clarity, and improve innovations in and access to GE technology.
“Gene Marcial provides iconoclastic insights into the art of successful investing while exploding the mythology of the conventional wisdom. His 7 Commandments of Stock Investing is scintillating reading for both individual and institutional investors who seek an advantage in their moneymaking endeavors.” --Scott Black, President of Delphi Management Inc. and a member of the Barron’s Roundtable “It is well understood that trading in the stock market is full of risks. But if you are ready to take the plunge, I guarantee that there will be a time when being familiar with Gene Marcial’s 7 Commandments of Stock Investing will be extremely important. Over the years, I have followed many of the same commandments.” --Carl Icahn, Chairman, Icahn Associates “This book begins with one of the wisest investment observations I’ve ever encountered: ‘There are plenty of ways to make money in the stock market, but clinging to mainstream thinking or so-called conventional wisdom is not one of them.’ The author’s discussion on avoiding the diversification trap is alone worth many times the price of this book.” --Bernie Schaeffer, Chairman, Schaeffer’s Investment Research, Inc., www.SchaeffersResearch.com “Gene Marcial has been guiding literally millions of investors to better financial performance over his more than 30 years as a leading financial journalist. He consistently has demonstrated a rare instinct for knowing when to follow a trend and when to think like a contrarian. In today’s turbulent times, his new book, 7 Commandments of Stock Investing, is essential reading for all investors and could well add precious percentage points to the performance of any who take his words to heart.” --Stephen Leeb, President, Leeb Capital Management Inc. Every week, the investment world turns to Gene Marcial’s BusinessWeek column. Here’s why: Marcial knows how to pick winners. Apple at 15. US Steel at 19. But Marcial’s track record isn’t limited to just one or two picks. In fact, recent analysis reveals that he’s beaten the indexes for a full decade. You can’t get results like that following the “conventional wisdom”! You need to know what Gene Marcial has learned about stock investing--and this book will tell you. Marcial has distilled 35 years of experience into seven powerful, counterintuitive “commandments”: rules that are simple and practical enough for every investor to profit from. Marcial reveals why diversification is not an optimal investment strategy...why you need to focus on finding big winners, and how you can...how to profit from panic, and how to lock in your profits when everyone else is “fat and happy.” Along the way, he opens up the secret, mysterious world of corporate and market insiders--showing how to track them down, emulate their approaches, and profit from their lucrative strategies. Be prepared to profit from panic Plot a clear strategy to seize opportunities during a macro-market panic Learn how to “buy the losers” Finding tomorrow’s big winners in today’s bargain bin Profit from the unknown Finding investments that are undervalued because investors don’t understand them The “sweet seven”: specific stock picks for the next seven years What to buy right now--and hold for the long term