scholarly journals 基于改进人工鱼群算法的最短路径问题研究An Modified Artificial Fish Swarm Algorithm for the Optimal Routing Problem

2012 ◽  
Vol 02 (02) ◽  
pp. 96-100
Author(s):  
张 航
2013 ◽  
Vol 325-326 ◽  
pp. 1722-1725 ◽  
Author(s):  
Chun Bo Wang ◽  
Jun Guo

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.


2014 ◽  
Vol E97.B (5) ◽  
pp. 996-1011 ◽  
Author(s):  
Qing LIU ◽  
Tomohiro ODAKA ◽  
Jousuke KUROIWA ◽  
Haruhiko SHIRAI ◽  
Hisakazu OGURA

2014 ◽  
Vol 962-965 ◽  
pp. 2201-2205
Author(s):  
Qiu Jiang ◽  
Zhou Kang ◽  
Shao Kai ◽  
Zhao Juan

In order to find a better way to solve the Vehicle Routing Problem ,this paper puts forward a new way. In this paper combines Artificial Fish Swarm Algorithm and Tabu Search Algorithm to solve the Vehicle Routing Problem, at first use Artificial Fish Swarm Algorithm to get the phase solution as the initial solution of Tabu Search Algorithm, and then get the best solution of the problem by Tabu Search Algorithm.Experiments show this has a good search ability to Vehicle Routing Problem.


2019 ◽  
Vol 6 (4) ◽  
pp. 43
Author(s):  
HADIR ADEBIYI BUSAYO ◽  
TIJANI SALAWUDEEN AHMED ◽  
FOLASHADE O. ADEBIYI RISIKAT ◽  
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