This paper presents an interval interactive algorithm for the continuous random parameters of stochastic multiobjective programming problems,which is based on the probability of the effectiveness.

Successfully,an interactive algorithm is developed for solving multiobjective nonlinear programming pro blems with a grou pof decision-makers in this paper.

To solve the latter, an interactive algorithm after the problem is formulated by a multi objective integer programming model is proposed, in which .

According to the character of the model, an interactive algorithm for solving the model is presented.

An interactive algorithm based on existing ones for solving nonlinear multiobjective optimization has been developed.

The proposed algorithm firstly uses the interval method to obtain all small intervals for the global optimization,then employs the Genetic Algorithm to execute the later process.

The interval algorithm for stratified multi-objective optimization;

This algorithm combines the interval algorithm and a genetic algorithm.

With the classical sensitivity analysis method,this paper presents a analytical method which is based on the interval algorithm in the electrical network design.

Interval Taylor model arithmetic is one of the productions by introducing symbolic techniques into naive interval arithmetic,which can record the corre.

To get the symptoms from measurement data an interval estimation procedure, which is in accordance with the rules of interval arithmetic is presented.

To overcome the shortcoming of high computational cost of traditional interval optimization algorithms for high dimensional problems,an interval-genetic algorithm is presented that combines interval arithmetic and genetic algorithm.