An Efficient Method Based on Lattice Construction and the Genetic Algorithm for Optimization of Large Lennard-Jones Clusters

2004 ◽  
Vol 108 (16) ◽  
pp. 3586-3592 ◽  
Author(s):  
Yuhong Xiang ◽  
Haiyan Jiang ◽  
Wensheng Cai ◽  
Xueguang Shao
Keyword(s):  
Genetic Algorithm ◽  
Efficient Method ◽  
Lennard Jones ◽  
Lattice Construction

Optimization of Vehicle Routing Problem Based on Multi-Objective Genetic Algorithm

2012 ◽  
Vol 253-255 ◽  
pp. 1356-1359
Author(s):  
Ru Zhong ◽  
Jian Ping Wu ◽  
Yi Man Du
Keyword(s):  
Genetic Algorithm ◽  
Vehicle Routing ◽  
Heuristic Algorithm ◽  
Efficient Method ◽  
Vehicle Routing Problem ◽  
Multiple Objectives ◽  
Routing Problem ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm

When there are multiple objectives co-existent in Vehicle routing problem(VRP), it is difficult to achieve optical status simultaneously. To solve this issue, it introduces a method of improved multi-objective Genetic Algorithm (MOGA). It adopts an approach close to heuristic algorithm to cultivate partial viable chromosomes, route decoding to ensure that all individuals meet constraints and uses relatively efficient method of arena contest to construct non-dominated set. Finally programme to fulfill the multi-objective algorithm and then apply it in the standard example of VRP to verity its effectiveness by comparison with the existing optimal results.

Structural optimization of Lennard-Jones clusters by a genetic algorithm

1996 ◽  
Vol 256 (1-2) ◽  
pp. 195-200 ◽  
Author(s):  
D.M. Daven ◽  
N. Tit ◽  
J.R. Morris ◽  
K.M. Ho
Keyword(s):  
Genetic Algorithm ◽  
Structural Optimization ◽  
Lennard Jones
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