Improved Differential Evolution Algorithm for Solving WTA Problem

Weapon-Target Assignment problem (WTA) is a Nonlinear Programming problem and complicated. Using improved Differential Evolution (DE) algorithm to solve WTA problems is proposed. To avoid drawbacks of basic DE for solving optimal problem, such as being subject to falling into local optimization and...

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Bibliographic Details
Published inEnergy procedia Vol. 11; pp. 1348 - 1353
Main Authors Weidong, Song, Chengwang, Zhao, Junxiu, HUO
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 2011
Subjects
Aberrance
Across
Differential evolution
WTA
Differential evolution
Across
WTA
Aberrance
Online AccessGet full text
ISSN1876-6102
DOI10.1016/j.egypro.2011.10.401

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Summary:Weapon-Target Assignment problem (WTA) is a Nonlinear Programming problem and complicated. Using improved Differential Evolution (DE) algorithm to solve WTA problems is proposed. To avoid drawbacks of basic DE for solving optimal problem, such as being subject to falling into local optimization and unfitting to solve questions that is un-continuous, a new coding way of original swarm is established, which reduced the solution space. Furthermore, some improvement in the aberrance and intercross of standard DE was made to make it applicable to WTA. Simulation results demonstrate that the algorithm can converge to the ideal steady state with high speed and provide practical solutions, especially when the scale of WTA problem is big.
ISSN:1876-6102
DOI:10.1016/j.egypro.2011.10.401