| 黄春生,戴剑勇,杨仕教.露天矿山技术经济参数系统免疫粒子群优化研究[J].南华大学学报(自然科学版),2012,26(4):31~35.[HUA Chun-sheng1,DAI Jian-yong2, YANG Shi-jiao2.Immune Particle Swarm Optimization Research for Technology Economic Parameter System of Strip Mine Enterprise[J].Journal of University of South China(Science and Technology),2012,26(4):31~35.] |
| 露天矿山技术经济参数系统免疫粒子群优化研究 |
| Immune Particle Swarm Optimization Research for Technology Economic Parameter System of Strip Mine Enterprise |
| 投稿时间：2012-06-19 |
| DOI： |
| 中文关键词: 自适应模糊推理系统（ANFIS） 免疫粒子群优化 技术经济参数 露天矿山. |
| 英文关键词:adaptive network-based fuzzy inference system immune particle swarm optimization technology economic parameter strip mine |
| 基金项目:国家自然科学基金资助项目(51174116;50974076);湖南省自然科学基金资助项目(10JJ2041) |
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| 中文摘要: |
| 根据露天矿山生产工艺特点，运用自适应模糊推理系统技术建立矿山技术经济参数集成系统模型，应用融合免疫算法、粒子群优化算法的优良性能的免疫粒子群算法优化系统模型参数，并以水泥原料矿山为例，成功实现了露天矿山生产工艺技术经济参数的在线优化问题，为矿山企业数字管理提供了重要参考价值. |
| 英文摘要: |
| According to main characteristic of digital strip mine enterprise management and application actuality,adaptive network-based fuzzy inference system technology was used to establish controlled variable parameter model of integration system;Then,by using swarm simulation ecology optimization algorithm which combine genetic algorithm,immune algorithm with particle swarm optimization algorithm,and can obtain global optimal solution,corresponding parameter was optimized successfully and create good economic benefit.It not only realizes real-time optimization of digital strip mine integration system,but also provides important reference value for effective implementation of other digital enterprise. |
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