Paper Title:
Partheno Genetic Ant Colony Optimization Algorithm and its Application
  Abstract

Ant colony algorithm is a kind of effective combinatorial optimization problem solving algorithm has been increasingly, thorough research, and gradually get used. Ant colony algorithm is a set of parameters, the algorithm, a lack of adequate experiences often. The paper has put forward a single genetic character of ant colony algorithm. Will the ant colony algorithm each search results as the initial population, single genetic improvement, for the shortest route optimization. In the traveling salesman problem of the experiments prove the effectiveness of the proposed algorithm.

  Info
Periodical
Advanced Materials Research (Volumes 143-144)
Edited by
H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong
Pages
1132-1136
DOI
10.4028/www.scientific.net/AMR.143-144.1132
Citation
G. L. Wang, J. H. Wu, Y. Su, "Partheno Genetic Ant Colony Optimization Algorithm and its Application", Advanced Materials Research, Vols. 143-144, pp. 1132-1136, 2011
Online since
October 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Chun Yu Ren
Abstract:The paper is focused on the Min-Max Vehicle Routing Problem (MMVRP). Tabu search algorithm is an algorithm based on neighborhood search....
160
Authors: Pin Yang Rao
Chapter 4: NEMS/MEMS Technology and Equipment
Abstract:The torsion bar is one of the major parts of converter tilting mechanism and is widely used for light weight, large energy stored in unit...
295
Authors: Bei Zhan Wang, Xiang Deng, Wei Chuan Ye, Hai Fang Wei
Chapter 13: Mechanical Control and Information Processing Technology
Abstract:The particle swarm optimization (PSO) algorithm is a new type global searching method, which mostly focus on the continuous variables and...
1787
Authors: Jian Xue Chen, Shui Yu
Chapter 4: Mechatronics and Automation Manufacturing Systems, Control Technologies
Abstract:Combining ant colony optimization (ACO) algorithm with back-propagation (BP) algorithm, the ACO-BP algorithm is proposed to optimize shift...
553
Authors: Sun Xin Wang, Yan Li, Yan Rong Zhang
Chapter 15: Economics, Marketing and Engineering Management
Abstract:In this paper a hybrid algorithm named IPSO-VND is proposed and applied to solving the vehicle routing problem with simultaneous pickup and...
2326