Alopex Optimization Algorithm
Abstract
This report provides results of the investigation and application of the Alopex Algorithm to optimization problems. The Alopex Algorithm is a stochastic multiparameter optimization procedure. This algorithm addresses the two optimization problems of resource allocation and pattern recognition. The assigned tasks consist of two parts: (1) Recognition of 3-D objects given a 2-D projection. (2) Optimal resource allocation. Both assignments involved application of the optimization algorithm Alopex which was developed by the principal investigators. We investigated 3-D objects with a view toward identification of airplanes. A system capable of rapid identification of airplanes can be built based on our findings. For the second assignment we investigated the problem of assigning in an optimal way a number of guns to targets. Alopex has been found to converge rapidly to optimal assignments. We also compared the performance of the Alopex algorithm with the widely used method of simulated annealing. Alopex was found to converge considerably faster in all examples tried.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1990
- Accession Number
- ADA228442
Entities
People
- A. U. Joshi
- E. Harth
- T. Kalogeropoulos
- Wenxin Liu
Organizations
- Syracuse University