Using the Two-Branch Tournament Genetic Algorithm for Multiobjective Design

The two-branch tournament genetic algorithm is presented as an approach to determine a set of Pareto-optimal solutions to multiobjective design problems. Because the genetic algorithm (GA) searches using a population of points rather than using a point-to-point search, it is possible to generate a l...

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Veröffentlicht in:	AIAA journal 1999-02, Vol.37 (2), p.261-267
Hauptverfasser:	Crossley, William A, Cook, Andrea M, Fanjoy, David W, Venkayya, Vipperla B
Format:	Artikel
Sprache:	eng
Schlagworte:	Exact sciences and technology Fundamental areas of phenomenology (including applications) Genetic algorithms Optimization Pareto principle Physics Problem solving Solid mechanics Static elasticity Static elasticity (thermoelasticity...) Structural and continuum mechanics
Online-Zugang:	Volltext
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