الصفحة 1
الصفحة 1
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Infectious disease : A very short introduction

Provides a conceptual framework for thinking about disease. Ecology and evolution provide the keys to answering the ‘where’ / ‘why’ / ‘how’ / and ‘what’ questions about any particular infectious disease: where did it come from? How is it transmitted from one person to another / and why are some individuals more susceptible than others? What biochemical / ecological / and evolutionary strategies can be used to combat the disease? Is it more effective to block transmission at the population level / or to block infection at the individual level? Through a series of case studies / Benjamin Bolker and Marta L. Wayne introduce the major ideas of infectious disease in a clear and thoughtful way / emphasizing the general principles of infection / the management of outbreaks / and the evolutionary and ecological approaches that are now central to much research about infectious disease.

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Evolutionary Scheduling

Evolutionary scheduling is a vital research domain at the interface of two important sciences - artificial intelligence and operational research. Scheduling problems are generally complex, large scale, constrained, and multi-objective in nature, and classical operational research techniques are often inadequate at solving them effectively. With the advent of computation intelligence, there is renewed interest in solving scheduling problems using evolutionary computational techniques. These techniques, which include genetic algorithms, genetic programming, evolutionary strategies, memetic algorithms, particle swarm optimization, ant colony systems, etc, are derived from biologically inspired concepts and are well-suited to solve scheduling problems since they are highly scalable and flexible in terms of handling constraints and multiple objectives. This edited book gives an overview of many of the current developments in the large and growing field of evolutionary scheduling, and demonstrates the applicability of evolutionary computational techniques to solve scheduling problems, not only to small-scale test problems, but also fully-fledged real-world problems.

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Evolutionary Computation in Dynamic and Uncertain Environments

This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering systems is inevitable. Representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums, are presented. "Evolutionary Computation in Dynamic and Uncertain Environments" is a valuable reference for scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, natural computing and evolutionary computation.

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Designing a world-class architecture firm : The people, stories, and strategies behind HOK

Offers exclusive insights into the revolutionary strategies behind one of the top ten largest architecture firms in the world. Written with dashes of memoir by the former CEO, Patrick MacLeamy, this book offers practicing architecture professionals in small to mid-sized firms and other design professionals such as interior designers and urban planners with detailed guidance for reinvigorating company culture, establishing financial metrics, attracting and retaining talent, diversifying services and firm expansion. This book is flavored with dozens of quirky stories from MacLeamy's time at the helm of HOK, and while it is not a design book - MacLeamy offers insights into many of HOK's most iconic projects, including: Smithsonian National Air and Space Museum in Washington, D.C., Oriole Park at Camden Yards in Baltimore, MD, and more

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Control of Traffic Systems in Buildings

Control of Traffic Systems in Buildings presents the state of the art in the analysis and control of transportation systems in buildings focusing primarily on elevator groups. The theory and design of passenger traffic and cargo transport systems are covered, together with actual operational examples and topics of special current interest such as: • noisy, on-line and algorithmic optimization; • simulation-based modeling of passengers and goods; • control of cooperative agent-oriented systems; • proposal for a benchmark to compare new control methods; • deployment and testing of transportation systems.

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Computational intelligence : Methods and techniques

This book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. Those techniques are today commonly applied issues of artificial intelligence, e.g. to process speech and natural language, build expert systems and robots.

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