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Titlebook: Artificial Immune Systems and Their Applications; Dipankar Dasgupta Book 1999 Springer-Verlag Berlin Heidelberg 1999 algorithms.artificial

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ity-based methodologies and applications in solving difficulArtificial immune systems are highly distributed systems based on the principles of the natural system. This is a new and rapidly growing field offering powerful and robust information processing capabilities for solving complex problems. L
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se the preferential amplification of more potent effectors. It is shown that spatial organization can allow non-specific chemical signals to select specific immune elements that contribute to system goals. Comparison is maEn with other autonomous Encentralized systems.
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ti-modal function optimization problem partly using a genetic algorithm. The proposed algorithm is shown to be effective for searching for a set of solutions as well as local solutions. The illustrative examples are shown for multi-modal functions such as multi-peaks function and Shubert function.
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Immunology Viewed as the Study of an Autonomous Decentralized Systemse the preferential amplification of more potent effectors. It is shown that spatial organization can allow non-specific chemical signals to select specific immune elements that contribute to system goals. Comparison is maEn with other autonomous Encentralized systems.
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Immunized Adaptive Critic for an Autonomous Aircraft Control Applicationar functioning in human immune systems. A technique for implementing immunized computational systems as adaptive critics is presented and the technique is then applied to a flight path generator for level 2,non-linear,full-envelope, intelligent aircraft control problem
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Diskussion der experimentellen Ergebnisse,rapidly emerging field called Artificial Immune Systems. These techniques have been successfully used in pattern recognition, fault Entection and diagnosis, computer security, and a variety of other applications.
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