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In the year 2130 a mysterious spaceship, Rama, arrived in the solar system. It was huge - big enough to contain a city and a sea - and empty, apparently abandoned. By the time Rama departed for its next, unknown, destination many wonders had been uncovered, but few mysteries solved. Only one thing was clear: everything the enigmatic builders of Rama did, they did in threes. Eighty years later the second alien craft arrived in the solar system. This time, Earth had been waiting. But all the years of preparation were not enough to unlock the Raman enigma. Now Rama II is on its way out of the solar system. Aboard it are three humans, two men and a woman, left behind when the expedition departed. Ahead of them lies the unknown, a voyage no human has ever experienced. And at the end of it - and who could tell how many years away that might be? - may lie the truth about Rama...
The fundamental theme of this book is theoretical study of differential evolution and algorithmic analysis of parameter adaptive schemes. The book offers real-world insights into a variety of large-scale complex industrial applications.
Individuals and enterprises are looking for optimal solutions for the problems they face. Most problems can be expressed in mathematical terms, and so the methods of optimization render a significant aid. This book details the latest achievements in optimization. It offers comprehensive coverage on Differential Evolution, presenting revolutionary ideas in population-based optimization and shows the best known metaheuristics through the prism of Differential Evolution.
Civil engineering structures such as buildings, bridges, stadiums, and offshore structures play an import role in our daily life. However, constructing these structures requires lots of budget. Thus, how to cost-efficiently design structures satisfying all required design constraints is an important factor to structural engineers. Traditionally, mathematical gradient-based optimal techniques have been applied to the design of optimal structures. While, many practical engineering optimal problems are very complex and hard to solve by traditional method. In the past few decades, swarm intelligence algorithms, which were inspired by the social behaviour of natural animals such as fish schooling...
Today modern materials science is a vibrant, emerging scientific discipline at the forefront of physics, chemistry, engineering, biology and medicine, and is becoming increasingly international in scope as demonstrated by emerging international and intercontinental collaborations and exchanges. The overall purpose of this book is to provide timely and in-depth coverage of selected advanced topics in materials science. Divided into five sections, this book provides the latest research developments in many aspects of materials science. This book is of interest to both fundamental research and also to practicing scientists and will prove invaluable to all chemical engineers, industrial chemists and students in industry and academia.
This assessment of the technical quality and relevance of the programs of the Measurement and Standards Laboratories of the National Institute of Standards and Technology is the work of the 165 members of the National Research Council's (NRC's) Board on Assessment of NIST Programs and its panels. These individuals were chosen by the NRC for their technical expertise, their practical experience in running research programs, and their knowledge of industry's needs in basic measurements and standards. This assessment addresses the following: The technical merit of the laboratory programs relative to the state of the art worldwide; The effectiveness with which the laboratory programs are carried out and the results disseminated to their customers; The relevance of the laboratory programs to the needs of their customers; and The ability of the laboratories' facilities, equipment, and human resources to enable the laboratories to fulfill their mission and meet their customers' needs.
This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.