Designing integrated guidance law for aerodynamic missiles by hybrid multi-objective evolutionary algorithm and tabu search

In this paper, a strength Pareto evolutionary algorithm (SPEA) based approach is proposed for designing an integrated fuzzy guidance law which consists of three fuzzy controllers. Each of these controllers is activated in a region of the interception. The distribution of the membership functions and...

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Veröffentlicht in:	Aerospace science and technology Jg. 14; H. 5; S. 356 - 363
Hauptverfasser:	Omar, Hanafy M., Abido, M.A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Issy-les-Moulineaux Elsevier SAS 01.07.2010 Elsevier
Schlagworte:	Algorithms Construction Evolutionary algorithm Evolutionary algorithms Exact sciences and technology Fundamental areas of phenomenology (including applications) Fuzzy Guidance Law Missile Missiles Multi-objective optimization Optimization Physics Solid dynamics (ballistics, collision, multibody system, stabilization...) Solid mechanics Tabu search Tradeoffs Guidance Missile Multi-objective optimization Tabu search Evolutionary algorithm Energy consumption Membership function Pareto optimum Hierarchical classification Multiobjective programming Solid dynamic Aerodynamics Constrained optimization Fuzzy logic Fuzzy control Interception Missile guidance
ISSN:	1270-9638, 1626-3219
Online-Zugang:	Volltext
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