Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
An Efficient Artificial Immune Network with Elite-Learning
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 04
A combinational clustering method based on artificial immune system and support vector machine
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
On diversity and artificial immune systems: incorporating a diversity operator into ainet
WIRN'05 Proceedings of the 16th Italian conference on Neural Nets
Intelligent power management in micro grids with EV penetration
Expert Systems with Applications: An International Journal
RFID reader anti-collision algorithm using adaptive hierarchical artificial immune system
Expert Systems with Applications: An International Journal
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This paper proposed an improved adaptive artificial immune system (IA-AIS) for complex optimization problems in continuous search space. In this IA-AIS optimization, several operators are improved or revised which aim at faster convergence speed and better optimal solution. Further speaking, cloning and reproduction of each offspring candidate antibody are proportional to the power of its parent affinity from the antigen; while mutation of each offspring candidate antibody is inversely exponentially determined by its parent affinity from the antigen. Also, suppression operator between antibodies is dynamically controlled according to their concentration. In other words, the suppression level is proportional to their Euclidian distance in continuous search space. The effectiveness of these improvements of operators is experimentally verified. Furthermore, comparative investigations are carried out between the proposed IA-AIS optimization and other optimization utilities. Finally a persuasive case about the proportional-integral-differential (PID) controller tuning demonstrates the potential searching capability and practical value of IA-AIS optimization.