Accession Number:

ADA455904

Title:

Hybrid Projected Gradient-Evolutionary Search Algorithm for Mixed Integer Nonlinear Optimization Problems

Descriptive Note:

Final performance rept., 1 May 2004-30 Apr 2005

Corporate Author:

NORTH CAROLINA AGRICULTURAL AND TECHNICAL STATE UNIV GREENSBORO

Personal Author(s):

• Homaifar, Abdollah
• Esterline, Albert
• Kimiaghalam, Bahram

Report Date:

2005-04-30

Pagination or Media Count:

10.0

Abstract:

The Hybrid Projected Gradient-Evolutionary Search Algorithm HPGES algorithm uses a specially designed evolutionary-based global search strategy to efficiently create candidate solutions in the solution space. A local projection-based gradient search algorithm is then used to improve the candidate solutions at each generation and to construct new potentially improved candidate solutions for the next generation of the evolutionary search. The search terminates when a certain convergence criterion is met. The details of different components of the hybrid algorithm are described in detail in the following sections.

Descriptors:

• *ALGORITHMS
• *DRONES
• OPTIMIZATION
• NONLINEAR PROGRAMMING
• HYBRID SYSTEMS

Subject Categories:

• Numerical Mathematics
• Cybernetics
• Pilotless Aircraft

Distribution Statement:

APPROVED FOR PUBLIC RELEASE