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Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Ge by Kaisa Miettinen,

Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Ge by Kaisa Miettinen,
Evolutionary Algorithms in Engineering effective search engine optimization and Computer Science Edited by K. Miettinen, University of Jyvaskyla, Finland M. M. Makela, University of Jyvaskyla, Finland P. Neittaanmaki, University of Jyvaskyla, Finland J. Periaux, Dassault Aviation, France What is Evolutionary Computing? Based on the genetic message encoded in DNA, effective search engine optimization and digitalized algorithms inspired by the Darwinian framework of evolution by natural selection, Evolutionary Computing is one of the most important information technologies of our times. Evolutionary algorithms encompass all adaptive effective search engine optimization and computational models of natural evolutionary systems - genetic algorithms, evolution strategies, evolutionary programming effective search engine optimization and genetic programming. In addition, they work well in the search for global solutions to optimization problems, allowing the production of optimization software that is robust effective search engine optimization and easy to implement. Furthermore, these algorithms can easily be hybridized with traditional optimization techniques. This book presents state-of-the-art lectures delivered by international academic effective search engine optimization and industrial experts in the field of evolutionary computing. It bridges artificial intelligence effective search engine optimization and scientific computing with a particular emphasis on real-life problems encountered in application-oriented sectors, such as aerospace, electronics, telecommunications, energy effective search engine optimization and economics. This rapidly growing field, with its deep understanding effective search engine optimization and assesssment of complex problems in current practice, provides an effective, modern engineering tool. This book will therefore be of significant interest effective search engine optimization and value to all postgraduates, research scientists effective search engine optimization and practitioners facing complex optimization problems.
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Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks by Farid U. Dowla,

Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks by Farid U. Dowla,
Artificial Neural Networks (ANNs) offer an efficient method for finding optimal cleanup strategies for hazardous plumes contaminating groundwater by allowing hydrologists to rapidly search through millions of possible strategies to find the most inexpensive effective search engine optimization and effective containment of contaminants effective search engine optimization and aquifer restoration. ANNs also provide a faster method of developing systems that classify seismic events as earthquakes or underground explosions. Farid Dowla effective search engine optimization and Leah Rogers have developed a number of ANN applications for researchers effective search engine optimization and students in hydrology effective search engine optimization and seismology. This book, complete with exercises effective search engine optimization and ANN algorithms, illustrates how ANNs can be used in solving problems in environmental engineering effective search engine optimization and the geosciences, effective search engine optimization and provides the necessary tools to get started using these elegant effective search engine optimization and efficient new techniques. Following the development of four primary ANN algorithms (backpropagation, self-organizing, radial basis functions, effective search engine optimization and hopfield networks), effective search engine optimization and a discussion of important issues in ANN formulation (generalization properties, computer generation of training sets, causes of slow training, feature extraction effective search engine optimization and preprocessing, effective search engine optimization and performance evaluation), readers are guided through a series of straightforward yet complex illustrative problems. These include groundwater remediation management, seismic discrimination between earthquakes effective search engine optimization and underground explosions, automated monitoring for acoustic effective search engine optimization and seismic sensor data, estimation of seismic sources, geospatial estimation, lithologic classification from geophysical logging, earthquake forecasting, effective search engine optimization and climate change. Each chapter contains detailed exercises often drawn from field data that use one or more of the fourprimary ANN algorithms presented.
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