Search Results - (("algorithms bias") OR ("algorithm based"))*

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    Solving the bilevel facility location problem under preferences by a stackelberg-evolutionary algorithm by Camacho Vallejo, José Fernando, Cordero Franco, Álvaro Eduardo, González Ramírez, Rosa G.

    Published 2014
    “…Also, two reformulations of the bilevel model are presented, reducing it into a mixed-integer single-level problem. An evolutionary algorithm based on the equilibrium in a Stackelberg’s game is proposed to solve the bilevel model. …”
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    Article
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    On aerodynamics of baseball pitches: reconstruction of spinning throws, and a lift force model for the knuckleball by Aguirre López, Mario Alberto

    Published 2016
    “…This is applied in an algorithm based on shooting method, which obtains the initial conditions of synthetic trajectories with a high accuracy in a low-time.…”
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    Tesis
  6. 6

    On aerodynamics of baseball pitches: reconstruction of spinning throws, and a lift force model for the knuckleball by Aguirre López, Mario Alberto

    Published 2016
    “…This is applied in an algorithm based on shooting method, which obtains the initial conditions of synthetic trajectories with a high accuracy in a low-time.…”
    Get full text
    Tesis
  7. 7

    Performance evaluation and optimization of swarms of robots in a specific task by Márquez Vega, Luis Ángel

    Published 2019
    “…The Multi-Objective Particle Swarm Optimization (MOPSO), the Nondominated Sorting Genetic Algorithm II using Differential Evolution (NSGA-II-DE) and the Multiobjective Evolutionary Algorithm based on Decomposition using Differential Evolution (MOEA/D-DE) are used to optimize the control parameters ∆r, ∆o and ∆a for the proposed task in each experiment. …”
    Get full text
    Tesis
  8. 8

    Performance evaluation and optimization of swarms of robots in a specific task by Márquez Vega, Luis Ángel

    Published 2019
    “…The Multi-Objective Particle Swarm Optimization (MOPSO), the Nondominated Sorting Genetic Algorithm II using Differential Evolution (NSGA-II-DE) and the Multiobjective Evolutionary Algorithm based on Decomposition using Differential Evolution (MOEA/D-DE) are used to optimize the control parameters ∆r, ∆o and ∆a for the proposed task in each experiment. …”
    Get full text
    Tesis
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