Research on Parallel Genetic Algorithms Related Logistics Transportation Scheduling Problem

Yu Qiang Chen; Wei Jun Yang

doi:10.4028/www.scientific.net/AMM.411-414.2704

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Multi-Objective and Stochastic Optimization Model of Transit Containers Storage in a Transshipment Port Yard
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Study on Emergency Decision-Making of Natural Disaster Based on Collaboration of Multi-Agent
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Picking Route Optimization of Automated Warehouse Based on Improved Genetic Algorithms
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The Application of Ant Colony Optimization Algorithm in the Flight Landing Scheduling Problem
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Research on Parallel Genetic Algorithms Related Logistics Transportation Scheduling Problem
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Research on Freeway Traffic Safety Index Based on Toll Data
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A Stochastic Programming Optimization Model of Container Shipping of Sea-Carriage
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Study on Traffic Impact Analysis Based on System Building
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Research on Parallel Genetic Algorithms Related...

Research on Parallel Genetic Algorithms Related Logistics Transportation Scheduling Problem

Abstract:

The research based on complex RVRP. On the basis of deep analysis, a parallel genetic algorithm was designed. Simulation results proved that the parallel genetic algorithm is more excellent than conventional serial genetic algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

2704-2709

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.2704

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Online since:

September 2013

Authors:

Yu Qiang Chen, Wei Jun Yang

Keywords:

Parallel Genetic Algorithm (PGA), Related Vehicle Routing Problem, Vehicle Routing Problem

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