A chaotic search method for global optimization on tent map;

Back propagation algorithm of neural network with global optimization;

Numerical results show that the present algorithm is a promising approach for solving global optimization problems.

An improved hybrid genetic algorithm(IHGA)composed of the self-adaptive genetic algorithm(SAGA)based on neighborhood searching and the SGA(standard genetic algorithm)can bring into play their advantages of time saving,high efficiency and mature convergence,as well as the global optimum searching capability of GA(genetic algorithm).

Virtually all control and decision problems can be cast as optimization problems ,while most of them exist multiple minima ,so it is always a focus to achieve global optimum by escaping local minimum both in academic and engineering fields.

The hybrid method is an effective approach to solve nonconvex optimization problems, because it inherits the merits of fast searching ability to locate global optimum in the chaos optimization method and the advantage of high convergence speed of the BFGS method.

ICA method with global optimal property based on wavelet transformation;

A set of LMIs, which is corresponding with the solution to the global optimal robust performance problem, is proved.

Global Optimal Solution to BOM Based(R,Q) Ordering Policy;

Through studing the coding,control parameters and arithmetic operators,the immunity operator and elitist selection strategy were adopted based on the simple genetic operators to prevent individual degeneration in crossover or mutation,so that the algorithm can get global optimal solution.

Based on the result that a global optimal solution to linear bilevel programming occurs at an extreme point of its constraint region, we discuss the structural feature of its feasible region and propose a global convergent algorithm which make use of cutting plane technique.