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Antenna design by genetic algorithms

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
85194
Program Year/Program:
2008 / STTR
Agency Tracking Number:
N08A-031-0092
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Remcom Inc.
315 S. Allen St. Suite 416 State College, PA 16801-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2008
Title: Antenna design by genetic algorithms
Agency / Branch: DOD / NAVY
Contract: N00014-08-M-0300
Award Amount: $69,993.00
 

Abstract:

In many military and civilian situations, the placement of an antenna is restricted by available space and surrounding structures. Additionally, antenna design engineers are continuously considering various methods that can optimize an antenna design for criteria, e.g. radiation efficiency, directionality, or S parameters. Once the performance criteria are specified, it becomes necessary to find the best solution(s) that satisfy the design constraints. For example, one might try to place an antenna on a vehicle in such a manner as to radiate energy in one direction while causing minimal interference to other antennas nearby. Optimal antenna placement of an antenna on a platform is a challenge to current approaches to electromagnetic modeling and numerical optimization. Genetic algorithms (GAs) and other "global" search algorithms have the advantage of being able to search cost surfaces with many local minima. They can also handle a large number of variables and constraints. Some current limiting factors include the optimization mixed variable types (continuous, discrete, and categorical) and the slow speed of calculating the cost function. This proposal addresses both of these impediments through the use of a very fast and accurate commercial code and a new type of GA called a mixed integer GA.

Principal Investigator:

Stephen Fast
Executive Vice President
8148611299
sfast@remcom.com

Business Contact:

Stephen Fast
Executive Vice President
8148611299
sfast@remcom.com
Small Business Information at Submission:

REMCOM, INC.
315 S. Allen St. Suite 222 State College, PA 16801

EIN/Tax ID: 251728847
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
THE PENNSYLVANIA STATE UNIV.
ARL Penn State
PO Box 30, N. Atherton Street
State College, PA 16804
Contact: Randy Haupt
Contact Phone: (814) 865-7299
RI Type: Nonprofit college or university