Browse Publications Technical Papers 2008-01-0871
2008-04-14

Game Theory Approach to Engine Performance Optimization 2008-01-0871

Genetic Algorithms have proved to be very useful as global search methods for multi-dimensional optimization problems. One drawback, however, is that they are inefficient from the point of view of the number of function evaluations. This paper presents a two phase approach to optimization, using Game Theory in an initial step which provides a family of designs which are close to the Pareto frontier. The starting population for the genetic algorithm is then selected from the non-dominated designs produced in the first phase. This ensures that the genetic algorithm starts with a population of points which are already optimized to a large degree.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Preview Document Add to Cart
Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

Application of Optimization Techniques in the Design of Engine Components

2008-01-0219

View Details

TECHNICAL PAPER

A Simulation Model for the CEEF Behavioral Prediction System

2003-01-2547

View Details

TECHNICAL PAPER

A New Method of Inertia Simulation in Brake Dynamometer Testing

2008-01-2578

View Details

X