The immune regulation,clone selection,immune memory were brought into standard genetic algorithm to design genetic immune algorithm for solving mixed transportation network design in view of the limitations of standard genetic algorithm and based on immunity theory.

Optimization of structural parameters of tread patterns based on immune genetic algorithm;

Real-time optimal path planning for mobile robots based on immune genetic algorithm;

Optimization of main girder for overhead traveling crane with improved artificial immune genetic algorithm;

Optimal placement of phasor measurement unit by immune genetic algorithms;

This paper presented modeling optimal reserve of interconnected regional power systems based on immune genetic algorithms,placed emphasis on derivative real power increment equation of the tie lines and derivative the connected expression between offset frequency and optimal reserve capacity.

Application of PID Control Based on IGA in AC Servo System;

The Application of IGA(Immune Genetic Algorithm) Based on the Similarity and Vector Distance in the Function Optimization;

The Application of IGA to Switching Optimization for an Inverter

The immune-genetic algorithm based on information entropy can overcome the shortcomings of standard genetic algorithm, e.

A multilayer feed-forward neural networks based on an improved immune-genetic algorithm(IIGA) is presented in this paper,so as to overcome the shortcomings that back propagation neural networks(BPNN) is easily converged at a local minimum and the training process is slow.