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A new immune optimization algorithm for constrained multiobjective optimization problems is designed based on danger theory exhibited in biological immune system. The general situation and running mechanism are presented in this paper. The algorithm identifies “dangerous” as the core idea and introduces antigen presenting cell and different danger signals. Experimental results of constrained multiobjective...
The job shop scheduling problem (JSSP) is a notoriously difficult problem in combinatorial optimization. Extensive investigation has been devoted to developing efficient algorithms to find optimal or near-optimal solutions. This paper proposes an improved immune clonal selection algorithm, called improved clonal selection algorithm for the JSSP. The new algorithm has the advantage of preventing from...
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...
By integrating chaos mechanism and niche technique, a novel immune algorithm - the clonal chaos adjustment algorithm (CCAA) is proposed based on the clonal selection principle and idiotypic immune network theory exhibited in biological immune system. Taking advantages of the ergodic and stochastic properties of chaotic variable, an adaptive chaos mutation operator is designed by the combination of...
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