A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.
The authors outline evolutionary thought from pre-Darwinian biology to current research on the subject. They broadly label the factors of evolution as intrinsic and extrinsic, with Darwin favoring the latter by emphasizing the process of natural selection and later followers of Darwin carrying t
How are linguistic wars for global prominence literarily and linguistically inscribed in literature? This book focuses on the increasing presence of cosmetic multilingualism in prize-winning fiction, making a case for an emerging transparent-turn in which momentary multilingualism works in the service of long-term monolingualism.
“He’s a smart little mother******,I’ll give him that.” —KEITH RICHARDS on MICK JAGGER IS he Jumpin’ Jack Flash? A Street Fighting Man? A Man of Wealth and Taste? All this, it turns out, and far more. By any definition, Mick Jagger is a force of nature, a complete original—and undeniably one of the dominant cultural figures of our time. Swaggering, strutting, sometimes elusive, always spellbinding, he grabbed us by our collective throat a half-century ago and—unlike so many of his gifted peers—never let go. For decades, Mick has jealously guarded his many shocking secrets—until now. As the Rolling Stones mark their 50th anniversary, journalist and #1 New York Times bestselling author Christopher Andersen tears the mask from rock’s most complex and enigmatic icon in a no-holds-barred biography as impossible to ignore as Jagger himself. Based on interviews with friends, family members, fellow music legends, and industry insiders—as well as wives and legions of lovers—MICK sheds new light on a man whose very name defines an era and candidly reveals: —New details about Jagger’s jaw-dropping sexual exploits with more than four thousand women (including Madonna, Angelina Jolie, Carly Simon, Linda Ronstadt, Uma Thurman, and France’s First Lady Carla Bruni)—as well as his encounters with several of rock’s biggest male stars. Also, the day Mick’s wife Jerry Hall and Keith Richards pleaded with Jagger to seek treatment for sex addiction. —The backstage drama surrounding Mick’s knighthood, and Jagger’s little-known ties to Britain’s Royal Family, including Prince William and Kate Middleton. —What he really thinks of today’s superstars—including Lady Gaga, Britney Spears, Beyoncé, Justin Timberlake, Kanye West, and Justin Bieber. —Never-before-revealed, behind-the-scenes accounts of his often turbulent relationships—from his band-mates, ravenous groupies, and rabid fans to such intimates as Andy Warhol, John Lennon, Jackie Onassis, Bill Clinton, and others. —Cocaine, LSD, hashish, and speed—the flabbergasting truth about the extent of Jagger’s substance abuse, and how long it really went on. —A rare glimpse into Mick’s business dealings and the killer instinct that has enabled him to amass a personal fortune well in excess of $400 million. —The stormy “marriage” between Mick and Keith that nearly ran aground over Keith’s searing comments—and all the scandal, mayhem, excess, madness, and genius that went into making the Rolling Stones “the world’s greatest rock-and-roll band.” Like its subject, this book is explosive and riveting—the definitive biography of a living legend who has kept us thrilled, confounded, and astounded. THIS IS MICK.
Now in its second edition, The Palgrave Encyclopedia of Imperialism and Anti-Imperialism is the definitive reference work for students and scholars interested in the theory and history of imperialism and anti-imperialism from the sixteenth century to the present day. Written by an international and interdisciplinary group of scholars, it provides detailed studies of imperialism’s roots, goals, methods and impact around the world. It also explores the rich and varied tradition of anti-imperialism, focusing on its most significant leaders, intellectuals, theories and social movements. The second edition has been expanded to include a number of topics not covered in the first edition, such as feminism, the environment, crime, international law, imperialism and anti-imperialism in art, literature and poetry, and medicine. In addition, existing entries have been updated and revised to reflect the latest scholarship. Offering a more comprehensive and thorough treatment of imperialism and anti-imperialism, the second edition of this encyclopedia takes a comparative, global approach to challenge and enhance our understanding of today’s world.
A Tibetan-English Dictionary, With Sanskrit Synonyms by Sarat Das Chandra, first published in 1902, is a rare manuscript, the original residing in one of the great libraries of the world. This book is a reproduction of that original, which has been scanned and cleaned by state-of-the-art publishing tools for better readability and enhanced appreciation. Restoration Editors' mission is to bring long out of print manuscripts back to life. Some smudges, annotations or unclear text may still exist, due to permanent damage to the original work. We believe the literary significance of the text justifies offering this reproduction, allowing a new generation to appreciate it.
The use of evolutionary computation techniques has grown considerably over the past several years. Over this time, the use and applications of these techniques have been further enhanced resulting in a set of computational intelligence (also known as modern heuristics) tools that are particularly adept for solving complex optimization problems. Moreover, they are characteristically more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. Hence, evolutionary computation techniques have dealt with complex optimization problems better than traditional optimization techniques although they can be applied to easy and simple problems where conventional techniques work well. Clearly there is a need for a volume that both reviews state-of-the-art evolutionary computation techniques, and surveys the most recent developments in their use for solving complex OR/MS problems. This volume on Evolutionary Optimization seeks to fill this need. Evolutionary Optimization is a volume of invited papers written by leading researchers in the field. All papers were peer reviewed by at least two recognized reviewers. The book covers the foundation as well as the practical side of evolutionary optimization.
Many machine learning tasks involve solving complex optimization problems, such as working on non-differentiable, non-continuous, and non-unique objective functions; in some cases it can prove difficult to even define an explicit objective function. Evolutionary learning applies evolutionary algorithms to address optimization problems in machine learning, and has yielded encouraging outcomes in many applications. However, due to the heuristic nature of evolutionary optimization, most outcomes to date have been empirical and lack theoretical support. This shortcoming has kept evolutionary learning from being well received in the machine learning community, which favors solid theoretical approaches. Recently there have been considerable efforts to address this issue. This book presents a range of those efforts, divided into four parts. Part I briefly introduces readers to evolutionary learning and provides some preliminaries, while Part II presents general theoretical tools for the analysis of running time and approximation performance in evolutionary algorithms. Based on these general tools, Part III presents a number of theoretical findings on major factors in evolutionary optimization, such as recombination, representation, inaccurate fitness evaluation, and population. In closing, Part IV addresses the development of evolutionary learning algorithms with provable theoretical guarantees for several representative tasks, in which evolutionary learning offers excellent performance.
Originally published in 1899. Author: F. Max Muller, K.M. Language: English Keywords: Language Many of the earliest books, particularly those dating back to the 1900s and before, are now extremely scarce and increasingly expensive. Obscure Press are republishing these classic works in affordable, high quality, modern editions, using the original text and artwork.
