An Effective Dynamic Evolutionary Algorithm for Engineering Problems

Qing Zhang; San You Zeng; Hai Qing Ye; Zheng Jun Li; Hong Yong Jing

doi:10.4028/www.scientific.net/AMR.542-543.294

Paper Titles

The Recycling of Plastics from ELVs - Background, Practices and Potentials
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Evaluation Model of Product Manufacturability for Rapid Response Design
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Research of Engineering Change Analysis
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The Impact Analysis of University R&D on High-Tech Industry Development Based on PLS Method
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An Effective Dynamic Evolutionary Algorithm for Engineering Problems
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Implementation of the Lean Model for Carrying out Value Stream Mapping and SMED in the Aerospace Engine Case Production
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Disclosure of Internal Control Based on XBRL
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Research on Manufacturing Execution System
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Based on Industrial Engineering Production System Analysis and Improvement Research
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 542-543An Effective Dynamic Evolutionary Algorithm for...

An Effective Dynamic Evolutionary Algorithm for Engineering Problems

Abstract:

A dynamic evolutionary algorithms (DEA) is designed to solve engineering problems in this paper. The DEA algorithm makes two differences. (1) Dynamic technique is used to handle equality constraints. (2) Two unrelated crossovers (linear crossover and uniform crossover) are combined in the algorithm for avoiding duplicate search and then helping global search. In solving engineering problems, three steps are taken: a DEA algorithm is designed first, then after tested by general benchmark problems, it is improved, and the third step is that the improved DEA algorithm is applied to solve engineering problems. The general test suggests our DEA algorithm outperforms the compared state-of-the-art other algorithms. The experimental results in solving 5 engineering problems indicate that our method works much better than the compared state-of-the-art algorithms, especially, in global search.