A multi-objective genetic algorithm(MOGA) was proposed for solving the model,in which a three-phase real number encoding method was put forward and the Pareto ranking method and the sharing function method were employed to evaluate the individuals\' fitness,which guaranteed the dispersity and uniformity of the solutions.

Process parameters optimization for sheet metal forming during drawing with a multi-objective genetic algorithm;

Application of multi-objective genetic algorithm in chemical engineering;

Application of multi-objective genetic algorithm in rolling strategy optimization of 8-high 5-stand continuous tandem cold mill;

Deriving multipurpose reservoir operating rule curves using multi-objective genetic algorithms;

Parameter optimization for biomass gasification process based on the multi-objective genetic algorithms;

This paper presents the airframe/scramjet integrated design method of hypersonic vehicle,in which we design lower surface configuration of airframe and get the Pareto front side through using one-dimensional flow formula to compute performance objectives,and adopting multi-objective genetic algorithms as the optimization method.

In this paper,a new design optimization procedure is set up,based multi-objective genetic algorithm(MOGA)combined with the finite element method(FEM).

This paper generalizes multi-objective genetic algorithm(MOGA) and summerizzes a new-patter MOGA.

The MOGA(multi-objective genetic algorithm) and AVL/BOOST software are applied to the automatic optimization design of a four-strokes engine performance,with the closing shift time,opening shift time and the diameter of the intake and exhaust manifold as design variables.

Aimed at this problem,the multiobjective genetic algorithm(MOGA),whose optimal objective is a vector containing the Akaike’s information of both training set and verifying set,is introduced.

Aerodynamic optimization technology for compressor design plays an important role in the development of high performance axial flow compressor, multiobjective genetic algorithm are currently being widely used in turbomachine optimization design.

The highway alignment optimization algorithm has been presented based on multi-object genetic algorithm(NSGA-Ⅱ),and some key problems such as integration of GIS and GA,object functions,genetic algorithm design have been solved.

For decreasing spring\'s mass and increasing the life of fatigue,MOGA(multi-object genetic algorithm) is applied to obtain the pareto results of multi-objective optimization of Shock absorber spring,and choose the best answer according to multi-criteria decision.

The optimization design model of giant magnetostrictive actuator(GMA) was presented and the multi-object genetic algorithm was applied for the optimization design of GMA.