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The job shop scheduling problem (JSSP) is one of the most difficult problems, as it is classified as an NP-complete one. In this paper, by integrating chaos mechanism and niche technique, a novel artificial immune algorithm based on the clonal selection principle and idiotypic immune network theory exhibited in biological immune system is proposed to solve classical job shop scheduling problem. Taking...
It is complicated and important to study the convergence rates of clonal selection algorithms in the field of artificial immune computation. However, there are few results about it. By integrating chaos mechanism and niche technique, an improved clonal selection algorithm (ICSA) is proposed based on the clonal selection principle. The algorithm not only maintains better population diversity than the...
Adaptive infinite-impulse-response (IIR) filter provides a powerful approach for solving a variety of practical problems. However, they might have a multi-modal error surface and their design is formulated as a highly nonlinear optimization problem. By integrating chaos mechanism and niche technique, a novel immune optimization algorithm based on the clonal selection principle and idiotypic immune...
A new immune algorithm - the clonal chaos adjustment algorithm (CCAA) is proposed by integrating the chaos mechanism on the basis of the clonal selection principle and idiotypic immune network theory exhibited in biological immune system. Taking advantages of the ergodic and stochastic properties of chaos logistic equation, an adaptive chaos mutation operator is designed by the combination of prior...
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