The new efficient hierarchy combination encoding method of evolution strategies for production allocation problems

Authors:
Young-Chang Hou;Ying-Hua Chang
Affiliations:
Department of Information Management, National Central University, Chung-Li 320, Taiwan, ROC;Department of Information Management, National Central University, Chung-Li 320, Taiwan, ROC
Venue:
Computers and Industrial Engineering
Year:
2002

Citing 7
Cited 3

Resource allocation problems: algorithmic approaches

Resource allocation problems: algorithmic approaches
A parallel evolution strategy for solving discrete structural optimization

Advances in Engineering Software
Global manufacturing systems: a model supported by genetic algorithms to optimize production planning

CIE '96 Proceedings of the 19th international conference on Computers and industrial engineering
Evolution and Optimum Seeking: The Sixth Generation

Evolution and Optimum Seeking: The Sixth Generation
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Evolutionary Algorithms in Management Applications

Evolutionary Algorithms in Management Applications
Ten Theses Regarding the Design of Controlled Evolutionary Strategies

WOPPLOT '89 Workshop on Evolutionary Models and Strategies, Workshop on Parallel Processing: Logic, Organization, and Technology: Parallelism, Learning, Evolution

Research on Multi-time Period Production Plan of Supply Chain under Demands Uncertainty

ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Research on multi time periods procurement plan of supply chain under production demands uncertainty

CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Adopting co-evolution and constraint-satisfaction concept on genetic algorithms to solve supply chain network design problems

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

The production allocation problem focuses on allocating the output of individual plants in a multinational company among markets. The production allocation model aims to minimize the costs of a multinational company subject to the capacity constraints and market demand. This study applies evolution strategies to solve the production allocation problem. We proposed a new efficient encoding method, which can significantly reduce the search space of solutions and obtain a high performance and optimal solutions. To avoid invalid chromosome happened during evolution strategies procedures, a specialized mutation operation is simultaneously proposed herein. Computational results indicate that the efficient combination encoding of evolution strategies performs very well. Our results further demonstrate that the solutions obtained by this approach are always efficient.