الصفحة 1
الصفحة 1
Foundations of Global Genetic Optimization
This book is devoted to the application of genetic algorithms in continuous global optimization. Some of their properties and behavior are highlighted and formally justified. Various optimization techniques and their taxonomy are the background for detailed discussion. The nature of continuous genetic search is explained by studying the dynamics of probabilistic measure, which is utilized to create subsequent populations. This approach shows that genetic algorithms can be used to extract some areas of the search domain more effectively than to find isolated local minima. The biological metaphor of such behavior is the whole population surviving by rapid exploration of new regions of feeding rather than caring for a single individual. One group of strategies that can make use of this property are two-phase global optimization methods. In the first phase the central parts of the basins of attraction are distinguished by genetic population analysis. Afterwards, the minimizers are found by convex optimization methods executed in parallel.
Culture history and convergent evolution : Can we detect populations in prehistory?
This volume brings together diverse contributions from leading archaeologists and paleoanthropologists, covering various spatial and temporal periods to distinguish convergent evolution from cultural transmission in order to see if we can discover ancient human populations. With a focus on lithic technology, analyzes ancient materials and cultures to systematically explore the theoretical and physical aspects of culture, convergence, and populations in human evolution and prehistory. will be of interest to academics, students and researchers in archaeology, paleoanthropology, genetics, and paleontology.
