A bilevel nonlinear programming algorithm based on chaos optimization;

According to the feature of bilevel programming, combining with chaos optimization algorithm, this paper proposes an effective algorithm to get the almost global solution of a class of bilevel nonlinear programming.

Then make use of the chaos optimization algorithm and particle swarm optimization algorithm to get the global solution of the bilevel nonlinear programming.

A hybrid genetic algorithm for nonlinear bilevel programming;

In this paper,we introduce the multiplier method and the non-monotonic technology,and give an effective algorithm for nonlinear bilevel programming,which is based on the multiplier method and penalty method.

Considering the influences of transfer benefit policy on the public traffic demand and routing decision for passenger travel in a transit network,a bi-level nonlinear programming model was introduced.

Hybrid genetic algorithm for several classes of nonlinear bilevel programming problems;

A special class of nonlinear bilevel programming problem and its genetic algorithm;

The intermodal freight network assignment model is established by using nonlinear bilevel programming theory.

Simulated annealing based global optimization of the general bilevel nonlinear programming problems;

There are great difficulties in solving the general bilevel nonlinear programming problems (BNPP) with the global solutions because of their nonconvexity and indifferentiability.

Hierarchical optimization method for a class of nonlinear bilevel programming problems;

In this paper, a novel evolutionary algorithm is designed, and an efficient algorithm based on this evolutionary algorithm for solving nonlinear bilevel programming with single or multiple followers is presented, which sufficiently utilizes the specific structure of the problem.