Holdings: Evolutionary Programming: An Efficient Alternative to Genetic Algorithms for Electromagnetic Optimization Problems.

Evolutionary Programming: An Efficient Alternative to Genetic Algorithms for Electromagnetic Optimization Problems.

Evolutionary algorithms, such as genetic algorithms (GAs) [1], evolutionary programming (EP) [2], and evolutionary strategies (ES), have recently received much attention for global optimization of electromagnetic problems [3-5,7]. These evolutionary algorithms are heuristic population-based search p...

Bibliographic Details
Main Authors:	Chellapilla, Kumar., Hoorfar, Ahmad.
Format:	Villanova Faculty Authorship
Language:	English
Published:	1998
Online Access:	http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:176980

Main Authors:

Chellapilla, Kumar., Hoorfar, Ahmad.

Format:

Villanova Faculty Authorship

Language:

English

Published:

1998

Online Access:

http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:176980

The Digital Library strives to provide access to its collections and resources to the Villanova University community and the global community of scholars, subject to any intellectual property or other restrictions on use. Certain materials, such as historical documents, handwritten materials, and foreign language materials, present unique accessibility challenges and formatting limitations. If you are experiencing difficulties in accessing, viewing, or navigating the Digital Library, please contact us at digitallibrary@villanova.edu or 610.519.5271.

Evolutionary Programming: An Efficient Alternative to Genetic Algorithms for Electromagnetic Optimization Problems.

Internet

Accessibility

Evolutionary Programming: An Efficient Alternative to Genetic Algorithms for Electromagnetic Optimization Problems.

Internet

Similar Items

Accessibility