Title :
A Probabilistic Evaluation of Fitness Based Immune Chaotic Algorithm for Constraint Optimization Problems
Author :
Yan, L.J. ; Li, Z.B. ; Yuan, X.Y.
Author_Institution :
State Key Lab. of Manuf. Syst. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
Abstract :
Multidisciplinary collaborative decision of product design is modeled as a constraint satisfaction problem and a new hybrid algorithm which combined chaotic search with immune algorithm is developed to solve the model. The meticulous searching capability of chaotic algorithm can keep immune algorithm from stunning into local optimum and find global optimal design solution. For the fitness evaluation of antibody, a probabilistic method was adopted to deal with constraints in place of traditional punishment function approach, thus the problem that the punishment coefficient is difficult to determine can be solved effectively. Optimization design result of a rotor system validated correctness and efficiency of hybrid algorithm.
Keywords :
artificial immune systems; constraint theory; decision theory; operations research; probability; product design; antibody fitness evaluation; chaotic algorithm searching capability; constraint optimization problem; constraint satisfaction problem; fitness based immune chaotic algorithm; global optimal design solution; probabilistic evaluation; probabilistic method; product design multidisciplinary collaborative decision; Algorithm design and analysis; Chaos; Collaboration; Constraint optimization; Constraint theory; Design engineering; Game theory; Immune system; Product design; Systems engineering and theory; chaotic algorithm; collaborative decision; constraint net; constraint optimization; immune algorithm;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.178
