Proposal and Comparative Study of Evolutionary Algorithms for Optimum Design of a Gear System

Proposal and Comparative Study of Evolutionary Algorithms for Optimum Design of a Gear System

This paper proposes a novel metaheuristic framework using a Differential Evolution (DE) algorithm with the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Both algorithms are combined employing a collaborative strategy with sequential execution, which is called DE-NSGA-II. The DE-NSGA-II takes...

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Bibliographic Details
Main Authors: Maximo Mendez, Daniel A. Rossit, Begona Gonzalez, Mariano Frutos
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Differential evolution
evolutionary computation
gear train optimization
genetic algorithms
mechanical engineering
multi-objective evolutionary algorithms
Online Access:https://ieeexplore.ieee.org/document/8945204/

Internet

https://ieeexplore.ieee.org/document/8945204/

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