Based On The Direction Of The Polar Coordinate Optimization Evolution Strategies And Their Applications

The evolution strategy profits from the biological evolution theory, and it is a heuristic stochastic search optimization method in the inspiration of the modern genetics. As a new interdisciplinary study, the evolution strategy has developed as an self-organized, auto-adapted comprehensive technology, which is widely used in the field of computer science, project technology, management science, social sciences and so on, particularly in the signal processing.At present, the evolution strategy neglects the characteristic of father generation, so the evolution strategy application is not independent;mostly, it is used to coordinate with the genetic algorithms or other intelligent algorithm. Accordingly, we proposed a new kind of evolution strategy algorithm based on the selected direction by the polar coordinates. This algorithm can effectively inherit the meritorious character of father generation, which can obtain a result quickly and precisely. Finally, we applied the improvement evolution strategy in the automobile guidance systems. This article main research content includes:1. By analyzing the traditional evolution strategy, we grasp the basic essential factor of restricting convergence rate and the overall situation optimal solution. At last we obtain a quicker and the better evolution strategy algorithm.2. We propose the evolution strategy algorithm based on the selected direction by the polar coordinates. We elaborate its rationale and its implementation method, and contrasts with the traditional evolution strategy by the example simulation.3. The evolution strategy algorithm based on the selected direction by the polar coordinates is astringent, which is proved by mathematics theory knowledge.4. The improvement evolution strategy has a better character compared to the traditional evolution strategy.5. The improvement evolution strategy is applied in the automobile guidance systems.This paper is supported by National Natural Science Foundation of China (60272089) and Guangdong Provincial Natural Science Foundation of China (980406).