By Hongwei Mo
ISBN-10: 1605663107
ISBN-13: 9781605663104
ISBN-10: 1605663115
ISBN-13: 9781605663111
At the present time, nature is used as a resource of idea for the advance of recent options for fixing advanced difficulties in a variety of domain names, from engineering to biology, with leading edge variations less than research. The instruction manual of study on synthetic Immune platforms and normal Computing: making use of advanced Adaptive applied sciences offers the newest empirical examine findings, theoretical frameworks, and applied sciences of usual computing and synthetic immune platforms (AIS). an exceptional reference resource for execs, researchers, and academicians in the AIS and common computing fields, this complete assortment written through top foreign specialists proposes new rules, tools, and theories to unravel difficulties of engineering and technology.
Read Online or Download Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies PDF
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Extra resources for Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies
Sample text
The clonal selection algorithm for dynamic multiobjective optimization (CSADMO) implements the nonuniform mutation, which combines the mutation operator with information on the evolutionary generation: the more the algorithm approaches to its termination, the smaller the mutation amplitude. To enforce diversity, when nondominated antibodies exceed a fixed threshold, suppression operator is applied to the population according to the crowding distance criterion already proposed for the nondominated sorting genetic algorithm (NSGA-II).
In Annual Conference of the North American Fuzzy Information Processing Society (pp. 248-253). Kim, D. , & Hong, W. P. (2003). Tuning of PID controller of dead time process using immune based on multiobjective. In IASTED International Conference on Neural Networks and Computational Intelligence (pp. 221-226). Kim, D. , Jo, J. , & Lee, H. (2004). Robust power plant control using clonal selection of immune algorithm based multiobjective. In 4th International Conference on Hybrid Intelligent Systems (pp.
Fields of application of MOAIS 16 14 13 12 10 8 6 5 5 4 2 2 2 2 0 E lectrom ag. C om puter S cience B iom edicine C ontrol T heory O perational R eserach N etw orking comparisons are presented neither with a pure AIS nor with other algorithms. Tavakkoli-Moghaddam, RahimiVahed & Mirzaei (2007a, 2007b) hybridize the clonal mutation operator by borrowing antibodies improvement methods from bacterial optimization. Bacterial mutation and gene transfer are applied as mutation operators. Application Fields of MOAIS Application of MOAIS algorithms to real world problems largely diffused in the reviewed references.
Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies by Hongwei Mo
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