moga toolbox Search Results


global optimization toolbox  (MathWorks Inc)
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matlab toolbox moga  (MathWorks Inc)
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The obtained Pareto fronts by <t>using</t> <t>Sigma</t> method , modified NSGAII , MATLAB's Toolbox <t>MOGA,</t> and the proposed algorithm regarding the optimal control design of the biped robot.
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opengl (mogl) toolbox  (MathWorks Inc)
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The obtained Pareto fronts by <t>using</t> <t>Sigma</t> method , modified NSGAII , MATLAB's Toolbox <t>MOGA,</t> and the proposed algorithm regarding the optimal control design of the biped robot.
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The obtained Pareto fronts by <t>using</t> <t>Sigma</t> method , modified NSGAII , MATLAB's Toolbox <t>MOGA,</t> and the proposed algorithm regarding the optimal control design of the biped robot.
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moga (nsga-ii) toolbox  (MathWorks Inc)
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The obtained Pareto fronts by <t>using</t> <t>Sigma</t> method , modified NSGAII , MATLAB's Toolbox <t>MOGA,</t> and the proposed algorithm regarding the optimal control design of the biped robot.
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nsga-ii in matlab  (MathWorks Inc)
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The obtained Pareto fronts by <t>using</t> <t>Sigma</t> method , modified NSGAII , MATLAB's Toolbox <t>MOGA,</t> and the proposed algorithm regarding the optimal control design of the biped robot.
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matlab software  (MathWorks Inc)
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The obtained Pareto fronts by <t>using</t> <t>Sigma</t> method , modified NSGAII , MATLAB's Toolbox <t>MOGA,</t> and the proposed algorithm regarding the optimal control design of the biped robot.
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Image Search Results


The obtained Pareto fronts by using Sigma method , modified NSGAII , MATLAB's Toolbox MOGA, and the proposed algorithm regarding the optimal control design of the biped robot.

Journal: The Scientific World Journal

Article Title: Pareto Design of State Feedback Tracking Control of a Biped Robot via Multiobjective PSO in Comparison with Sigma Method and Genetic Algorithms: Modified NSGAII and MATLAB's Toolbox

doi: 10.1155/2014/303101

Figure Lengend Snippet: The obtained Pareto fronts by using Sigma method , modified NSGAII , MATLAB's Toolbox MOGA, and the proposed algorithm regarding the optimal control design of the biped robot.

Article Snippet: The feasibility and efficiency of the proposed multi-objective algorithm are assessed in comparison with Sigma method [ ], modified NSGAII [ ], and MATLAB Toolbox MOGA.

Techniques: Modification