A T-cell algorithm for solving dynamic optimization problems |
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Authors: | Victoria S Aragón Susana C Esquivel |
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Affiliation: | a Laboratorio de Investigación y Desarrollo en Inteligencia Computacional,1LIDIC is financed by the Universidad Nacional de San Luis and ANPCyT (Agencia Nacional para promover la Ciencia y Tecnología).1 Universidad Nacional de San Luis, Ejército de los Andes 950, 5700 San Luis, Argentina b CINVESTAV-IPN (Evolutionary Computation Group), Computer Science Department, Av. IPN No. 2508, Col. San Pedro Zacatenco, México D.F. 07300, Mexico c UMI 1375 CNRS at CINVESTAV-IPN, Mexico |
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Abstract: | In this paper, a metaheuristic inspired on the T-Cell model of the immune system (i.e., an artificial immune system) is introduced. The proposed approach (called DTC, for Dynamic T-Cell) is used to solve dynamic optimization problems, and is validated using test problems taken from the specialized literature on dynamic optimization. Results are compared with respect to artificial immune approaches representative of the state-of-the-art in the area. Some statistical analyses are also performed, in order to determine the sensitivity of the proposed approach to its parameters. |
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Keywords: | Artificial immune systems Dynamic optimization Metaheuristics |
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