Integration of Genetic Algorithm and Cultural Particle Swarm Algorithms for Constrained Optimization of Industrial Organization and Diffusion Efficiency Analysis in Equipment Manufacturing Industry
| العنوان: | Integration of Genetic Algorithm and Cultural Particle Swarm Algorithms for Constrained Optimization of Industrial Organization and Diffusion Efficiency Analysis in Equipment Manufacturing Industry |
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| المؤلفون: | Xu Sheng CHEN, Ya Jie WANG, Hong Qi WANG |
| المصدر: | Sensors & Transducers, Vol 157, Iss 10, Pp 36-41 (2013) |
| بيانات النشر: | IFSA Publishing, S.L., 2013. |
| سنة النشر: | 2013 |
| مصطلحات موضوعية: | Genetic algorithm, Crossover strategy, lcsh:Technology (General), Particle swarm optimization algorithm, lcsh:T1-995, Cultural algorithm, Diffusion efficiency analysis, Niche competition mechanism, Industrial organization optimization |
| الوصف: | Aiming at industrial organization multi-objective optimization problem in Equipment Manufacturing Industry, The paper proposes a new type of double layer evolutionary cultural particle swarm optimization algorithm. The algorithm combines the advantages of the particle swarm optimization algorithm and cultural algorithm. It not only revises the problem that the particles are easy to "premature", but also overcomes the drawback of penalty function method. Firstly, improved topology structure of Particle swarm optimization algorithm. Secondly, using crossover strategy and niche competition mechanism. Verified by the test functions, the proposed algorithm has good performance. Through the analysis of the manufacturing performance based on the algorithm, the paper proposes some optimization strategies such as improving the manufacturing industry market concentration, improving the manufacturing level of industry product differentiation and so on. |
| اللغة: | English |
| تدمد: | 1726-5479 2306-8515 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doajarticles::351580b8d27a67e10ec374a631213e64 http://www.sensorsportal.com/HTML/DIGEST/october_2013/P_1383.pdf |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doajarticles..351580b8d27a67e10ec374a631213e64 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 17265479 23068515 |
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