Membrane Computing in Optimization
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Membrane Computing in Optimization
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Description
Membrane Computing (P Systems) is an emergent and promising branch of Natural Computing. Designing P Systems is a heavy difficult problem. Until now there is no tool exists that can help in designing of P systems. This book shows how to use clonal selection algorithm with adaptive mutation in the design of P systems. In Addition the book proposes a Membrane-Immune algorithm that is inspired from the structure of living cells and the vertebrate immune system. The algorithm is tested by solving the Multiple Zero/One Knapsack Problem. The Membrane-Immune algorithm surpassed two variants of genetic algorithms that solved the same problem. The Membrane-Immune algorithm is also applied to generate a fuzzy rule based system to be used in breast cancer diagnosis. Generating a fuzzy rule system composes an exponential search space, which leads to the area of NP-complete problems. The algorithm is compared with five techniques and surpassed them. Last chapter presents a proposal of P Systems implementation using Cloud Computing. The proposed Implementation is illustrated by solving SAT problem.
Product details
- Type:
- Book
- Binding:
- Paperback
- Languages:
-
Original:
English
- Number of Pages:
-
172
- Publisher:
-
LAP LAMBERT Academic Publishing
- Publication Date:
-
2014-05-29
- ISBN / EAN:
-
9783659547997
- Weight:
-
274 g
- Dimensions:
-
15/22/1 cm
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