Introducing evolutionary

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  • How did the mind evolve? How does the human mind differ from the minds of our ancestors, and from the minds of our nearest relatives, the apes? What are the universal features of the human mind, are why are they designed the way they are? If our minds are built by selfish genes, why are we so cooperative? Can the differences between male and female psychology be explained in evolutionary terms?

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  • An image is a two dimensional projection of a three dimensional scene. Hence a degeneration is introduced since no information is retained on the distance of a given point in the space. In order to extract information on the three dimensional contents of a scene from a single image it is necessary to exploit some a priori knowledge either on the features of the scene, i.e. presence/absence of architectural lines, objects sizes, or on the general behaviour of shades, textures, etc.

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  • An additional issue arises because of payments such as future taxes and royalties. In acquiring the above property, the new owner must, for ex- ample, pay a 10 percent overriding royalty to the landowner. Such payments should be included in the value of the resource even though they do not accrue to the seller of the property. In the example shown in Box 3–1, future royalties and taxes are assumed to have a present value of $0.6 million. These payments introduce a major new complication because taxes and royalties depend on future production.

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  • The book consists of 29 chapters. Chapters 1 to 9 describe the algorithms for enhancing the search performance of evolutionary algorithms such as Genetic Algorithm, Swarm Optimization Algorithm and Quantum-inspired Algorithm. Chapter 10 introduces the programming language for evolutionary algorithm. Chapter 11 explains evolutionary algorithms for the fuzzy data problems. Chapters 12 to 13 discuss theoretical analysis of evolutionary algorithms. The remaining chapters describe the applications of the evolutionary algorithms. ...

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  • Microsoft Analysis Services is server-based platform for on-line analytical processing (OLAP) and Data Mining Services provided with Microsoft SQL Server 2005. This tool is not new, but it has been completely rewritten from the ground up. While Analysis Services 2000 was more of an evolutionary release building on the same OLAP architecture that Microsoft (MS) introduced with SQL 7, the new version of SSAS is a fundamental change, built on Unified Dimensional Model (UDM). Microsoft released SSAS in November 2005, and it ships as an add-on to SQL Server 2005 just like its predecessors....

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  • The purpose of this book is fairly simple, to introduce and reflect on some of the key writers, ideas, models and approaches in strategic management. Chapter one is brief overview of how strategy got here. Whittington’s work is used to give an overview of different views (or even philosophies) of strategy positioned for us in a framework. We use Whittington’s (2001) model of strategy as our base model. Whittington’s classical, evolutionary, processual and systemic strategy offers us a reference point as well as the underpinning for different ways of dealing with strategy....

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  • Integrative evolving connectionist systems (iECOS) integrate principles from different levels of information processing in the brain, including cognitive-, neuronal-, genetic- and quantum, in their dynamic interaction over time. The paper introduces a new framework of iECOS called integrative probabilistic evolving spiking neural networks (ipSNN) that incorporate probability learning parameters. ipSNN utilize a quantum inspired evolutionary optimization algorithm to optimize the probability parameters as these algorithms belong to the class of estimation of distribution algorithms (EDA).

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  • For the past hundred years, innovation within the automotive sector has brought major technological advances, leading to safer, cleaner, and more affordable vehicles. But for the most part, since Henry Ford introduced the moving assembly line, the changes have been incremental, evolutionary. Now, in the early decades of the 21st century, the industry appears to be on the cusp of revolutionary change—with potential to dramatically reshape not just the competitive landscape but also the way we interact with vehicles and, indeed, the future design of our roads and cities.

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  • While peer-to-peer (P2P) video streaming systems have achieved promising results, they introduce a large number of unnecessary traverse links, which con- sequently leads to substantial network ine±ciency. To address this problem and achieve better streaming performance, we propose to enable cooperation among group peers, which are geographically neighboring peers with large intra-group up- load and download bandwidths.

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  • The idea for The Phylogenetic Handbook was conceived during an early edition of theWorkshop on Virus Evolution andMolecular Epidemiology. The rationale was simple: to collect the information being taught in the workshop and turn it into a comprehensive, yet simply written textbook with a strong practical component. Marco and Annemie took up this challenge, and, with the help of many experts in the field, successfully produced the First Edition in 2003.

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  • This lecture introduces you to the history of life on earth. In this chapter, students will be able to understand: How do scientists date ancient events? How have earth’s continents and climates changed over time? What are the major events in life’s history? Why do evolutionary rates differ among groups of organisms?

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  • Some of the most useful applications of evolution often do not use evolutionary theory directly; instead they use technologies developed by evolutionary biologists. In par- ticular, methods for reconstructing phylogenies are being applied to genetic data with very practical results. HIV is especially susceptible to such methods because its fast- accumulating mutations create finely detailed phylogenies. For instance, certain cases of HIV could be traced back to a specific Florida dentist (Ciesielski et al. 1992).

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