A New Hybrid Algorithm Based on Artificial Fish Swarm Algorithm and Genetic Algorithm for VRP

Chun Bo Wang; Jun Guo

doi:10.4028/www.scientific.net/AMM.325-326.1722

Paper Titles

Implementation of the DES Algorithm on EDA Box
p.1702

Adaptive Subcarrier, Bit and Power Allocation Based on Hopfield Neural Network for Multiuser OFDM
p.1706

Build a Game Dynamical System through the Optimization of the Artificial Fish Swarm Algorithm
p.1712

Achieving Quick Trust Transmission in P2P Network Based on Matrix Operation
p.1717

A New Hybrid Algorithm Based on Artificial Fish Swarm Algorithm and Genetic Algorithm for VRP
p.1722

Application and Study of BP Neural Network and Genetic Algorithm for Optimizational Parameters Based on MATLAB
p.1726

Minimization of VM Placement Change in Energy-Aware Resource Provisioning for Cloud Data Center
p.1730

Research of Prewarning Pipe-Sticking Based on Neural Network
p.1734

Wireless Mesh Network Technical Security Performance Analysis
p.1738

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 325-326A New Hybrid Algorithm Based on Artificial Fish...

A New Hybrid Algorithm Based on Artificial Fish Swarm Algorithm and Genetic Algorithm for VRP

Abstract:

In this paper, we propose a new hybrid algorithm based on artificial fish swarm algorithm and genetic algorithm to solve the capacitated vehicle routing problem (CVRP). The proposed algorithm is a swarm intelligence optimization algorithm based on the animal behavior. The experimental result show the effectiveness of this proposed method.