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Evolutionary Algorithms in Engineering and Computer Science Edited by K. Miettinen, University of Jyvaskyla, Finland M. M. Makela;
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This book is a clear and lucid presentation of Evolutionary Algorithms, with a straightforward, bottom-up approach that provides the reader;
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Computer solutions to many difficult problems in science and engineering require the use of automatic search methods that consider a large;
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networks, databases, evolutionary computation, graph theory, image processing, multimedia technology, software engineering, and software;
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A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering;
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This book constitutes the refereed proceedings of the Software Engineering and Algorithms section of the 10th Computer Science On-line;
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now assumed an essential role in computer science research. In this book, modern research methods, together with applications of machine and;
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models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also;
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models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also;
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in mathematics, industrial engineering, and computer science, as well as students in computer science, engineering optimization, and computer simulation.;
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Computer science is a field that is concerned with the study of the theory of computation and the design of software systems. It;
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This book constitutes the refereed post-conference proceedings of the 4th International Conference on Computer Science and Health;
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This book constitutes the refereed proceedings of the 43rd International Conference on Current Trends in Theory and Practice of Computer;
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practical problems in hot application areas, such as computational biology, computational chemistry, wireless networks, and computer vision;
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This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become;
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courses at the senior undergraduate level in computer science and engineering. It is also an invaluable text/reference for graduate students;
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Computer science and engineering is a sub-field of electronic engineering that integrates the fields of computer science and computer;
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of computer science and engineering. We present the concept of computational intelligence methods and specific analysis along with examples and case;
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computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer;
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of applications that exercise significant features of C++, including templates and polymorphisms, is included. The book is a perfect text for computer;
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, evolutionary strategies, and evolutionary programming. Hybrid combinations of various algorithms are also discussed.Chapter 1 provides a brief overview;
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by authoritative researchers in the field of mathematics, statistics and computer science, it aims at offering a comprehensive and up-to-date;
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This book meant for those who seek to apply evolutionary algorithms to problems in engineering and science. To this end, it provides the;
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intelligence Evolutionary Computation in Gene Regulatory Network Research is a reference for researchers and professionals in computer science, systems;
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including Computer Science. The book contains derivation of algorithms for solving engineering and science problems and also deals with error;
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Appropriate for Computer Science II and Data Structures in departments of Computer Science. Progressing from the concrete to the abstract;
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of internationally renowned authors in areas as diverse as computer science, electrical engineering, operation research, civil engineering, and the social;
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