Accession Number:

ADA230891

Title:

Ocean Feature Recognition Using Genetic Algorithms with Fuzzy Fitness Functions (GA/F3)

Descriptive Note:

Corporate Author:

NAVAL OCEAN RESEARCH AND DEVELOPMENT ACTIVITY STENNIS SPACE CENTER MS

Personal Author(s):

• Ankenbrandt, C. A.
• Buckles, B. P.
• Petry, F. E.
• Lybanon, M.

Report Date:

1989-07-01

Pagination or Media Count:

8.0

Abstract:

Genetic algorithms are a problem solving method requiring domain- specific knowledge that is often heuristic. Candidate solutions are represented as organisms. Organisms are grouped into populations known as generations and are combined in pairs to produce subsequent generations. An individual organisms potential as a solution is determined by a fitness function. Fitness functions map organisms into real numbers and are used to determine which organisms will be used and how frequently to produce offspring for the succeeding generation. Fitness functions often require heuristic information because a precise measure of the suitability of a given organism i.e., solution is not always attainable. An example is the recognition i.e., labeling of segments in a scene. General characteristics of objects in the scene such as curvature, size, length, and relationship to each other may be known only within broad tolerance levels. That is, there is a great variability in the relationships among objects in different scenes.

Descriptors:

• *ALGORITHMS
• POPULATION
• PROBLEM SOLVING
• VARIATIONS
• REAL NUMBERS
• PRECISION
• HEURISTIC METHODS
• RECOGNITION
• OCEANS
• GENETICS
• MEASUREMENT
• SOLUTIONS(GENERAL)

Subject Categories:

• Physical and Dynamic Oceanography

Distribution Statement:

APPROVED FOR PUBLIC RELEASE