The Heuristic Algorithm Based on Learning-Competing Model and Its Application to Task Assignment Problem

Authors:
Zhe Wang;Hongwei Wang;Xi Chen;Yi Jiang
Affiliations:
Institute of System Engineering, Huazhong University of Science and Technology, Wuhan, China 430074;Institute of System Engineering, Huazhong University of Science and Technology, Wuhan, China 430074;Institute of System Engineering, Huazhong University of Science and Technology, Wuhan, China 430074;Institute of System Engineering, Huazhong University of Science and Technology, Wuhan, China 430074
Venue:
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Year:
2009

Citing 4
Cited 0

Adaptation in natural and artificial systems

Adaptation in natural and artificial systems
Genetic Algorithms Plus Data Structures Equals Evolution Programs

Genetic Algorithms Plus Data Structures Equals Evolution Programs
Introduction to Algorithms

Introduction to Algorithms
Multiple task assignments for cooperating uninhabited aerial vehicles using genetic algorithms

Computers and Operations Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

A universal model-learning-competing one is established for solving task assignment problem in National Economy Mobilization(NEM), in which local search was focused in learning model and global search in competing. Thereafter the strong points of the two models were amalgamated in the algorithm. A team of parameters was used to coordinating the correlation of the two models. Applying learning-competing model to an actual case, using greed algorithm in learning model, genetic algorithm in competing model, the results obtained were in coincidence with the analysis.