Hybrid Metaheuristic for Designing an End Effector as a Constrained Optimization Problem

Hybrid Metaheuristic for Designing an End Effector as a Constrained Optimization Problem

Hybrid metaheuristics, explored in recent literature, are optimization methods that combine a global search metaheuristic with algorithms for refinement that in turn can be stochastic or deterministic. Although initially they were applied to combinatorial optimization, nowadays there are hybrid algo...

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Bibliographic Details
Main Authors: Eduardo Vega-Alvarado, Edgar Alfredo Portilla-Flores, Maria Barbara Calva-Yanez, Gabriel Sepulveda-Cervantes, Jorge Alexander Aponte-Rodriguez, Eric Santiago-Valentin, Jose Marco Antonio Rueda-Melendez
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Engineering design
gripper
hybrid metaheuristics
mechanism synthesis
optimization
Online Access:https://ieeexplore.ieee.org/document/7893806/

Internet

https://ieeexplore.ieee.org/document/7893806/

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