Výsledky vyhledávání - "Marwan Abdelatti"

Lab-Scale Smart Factory Implementation Using ROS

Publikováno v: Studies in Computational Intelligence ISBN: 9783031090615

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::21c0abfca1eb58a0b359d849f081cda8
https://doi.org/10.1007/978-3-031-09062-2_4

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Selecting between evolutionary and classical algorithms for the CVRP using machine learning

Autor: Justin Fellers, Manbir Sodhi, Meghan Steinhaus, Jose Quevedo, Marwan Abdelatti

Publikováno v: GECCO Companion

Solutions for NP-hard problems are often obtained using heuristics that yield results relatively quickly, at some cost to the objective. Many different heuristics are usually available for the same problem type, and the solution quality of a heuristi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2054625904d031858794838db1945147
https://doi.org/10.1145/3449726.3459459

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Optimizing a GPU-accelerated genetic algorithm for the vehicle routing problem

Autor: Marwan Abdelatti, Abdeltawab M. Hendawi, Manbir Sodhi

Publikováno v: GECCO Companion

The capacitated vehicle routing problem (CVRP) is an NP-hard optimization problem with many applications. Genetic algorithms (GAs) are often used to solve CVRPs but require many parameters and operators to tune. Incorrect settings can result in poor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::185b1a10f72e59775c73e3750210b495
https://doi.org/10.1145/3449726.3459458

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An improved GPU-accelerated heuristic technique applied to the capacitated vehicle routing problem

Autor: Manbir Sodhi, Marwan Abdelatti

Publikováno v: GECCO

The capacitated vehicle routing problem (CVRP) is a well-known NP-hard combinatorial problem. Genetic algorithms (GAs) are often used for solving CVRPs. However, the computational effort required to find a feasible solution becomes problematic for ve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ce20c71468316eef2c31dbf79fff60e6
https://doi.org/10.1145/3377930.3390159

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Cooperative deterministic learning control for a group of homogeneous nonlinear uncertain robot manipulators

Autor: Chengzhi Yuan, Wei Zeng, Marwan Abdelatti, Cong Wang

Publikováno v: Science China Information Sciences. 61

This paper addresses the learning control problem for a group of robotmanipulators with homogeneous nonlinear uncertaindynamics, where all the robots have an identical system structure but the reference signals to be tracked differ. The control objec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f4dd17a5e627ce6027d1f44a8b6fecf8
https://doi.org/10.1007/s11432-017-9363-y

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