Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Multiobjective Evolutionary Algorithms and Applications
Evolutionary multiobjective optimization is currently gaining a lot of attention, particularly for researchers in the evolutionary computation communities. Covers the authors’ recent research in the area of multiobjective evolutionary algorithms as well as its practical applications.
Mathematical Reviews
None
Southern Arabia
Southern Arabia by J. Theodore Bent is about Mrs. Theodore Bent and their husband and what they see and do on their travels through the wilds of Arabia. Excerpt: "I Manamah and Moharek 1 II The Mounds of Ali 16 III Our Visit to Rufa'a 30 MASKAT IV Some Historical Facts about Oman 45 V Maskat and the Outskirts 63 THE HADHRAMOUT VI Makalla 71 VII Our Departure into the Interior 81 VIII The Akaba 88 IX Through Wadi Kasr 98 X Our Sojourn at Koton 111 XI The Wadi Ser and Kabr Saleh 126 XII The City of Shibahm 142 XIII Farewell to the Sultan of Shibahm 162 XIV Harassed by our Guides 177 XV Retribution for our Foes 199 XVI Coasting Eastward by Land 210 XVII Coasting Westward by Sea."
Quantum Field Theory
A unique approach to quantum field theory, with emphasis on the principles of renormalization Quantum field theory is frequently approached from the perspective of particle physics. This book adopts a more general point of view and includes applications of condensed matter physics. Written by a highly respected writer and researcher, it first develops traditional concepts, including Feynman graphs, before moving on to key topics such as functional integrals, statistical mechanics, and Wilson's renormalization group. The connection between the latter and conventional perturbative renormalization is explained. Quantum Field Theory is an exceptional textbook for graduate students familiar with ...
Food
Illustrated history of the history of nutrition in ancient Egypt.
Memetic Computation
This book bridges the widening gap between two crucial constituents of computational intelligence: the rapidly advancing technologies of machine learning in the digital information age, and the relatively slow-moving field of general-purpose search and optimization algorithms. With this in mind, the book serves to offer a data-driven view of optimization, through the framework of memetic computation (MC). The authors provide a summary of the complete timeline of research activities in MC – beginning with the initiation of memes as local search heuristics hybridized with evolutionary algorithms, to their modern interpretation as computationally encoded building blocks of problem-solving kno...
