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Titlebook: Bio-inspired Computing – Theories and Applications; 11th International C Maoguo Gong,Linqiang Pan,Gexiang Zhang Conference proceedings 2016

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发表于 2025-3-21 16:57:38 | 显示全部楼层 |阅读模式
期刊全称Bio-inspired Computing – Theories and Applications
期刊简称11th International C
影响因子2023Maoguo Gong,Linqiang Pan,Gexiang Zhang
视频video
发行地址Includes supplementary material:
学科分类Communications in Computer and Information Science
图书封面Titlebook: Bio-inspired Computing – Theories and Applications; 11th International C Maoguo Gong,Linqiang Pan,Gexiang Zhang Conference proceedings 2016
影响因子The two-volume set, CCIS 681 and CCIS 682, constitutes the proceedings of the 11th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2016, held in Xi‘an, China, in October 2016..The 115 revised full papers presented were carefully reviewed and selected from 343 submissions. The papers of Part I are organized in topical sections on DNA Computing; Membrane Computing; Neural Computing; Machine Learning. The papers of Part II are organized in topical sections on Evolutionary Computing; Multi-objective Optimization; Pattern Recognition; Others..
Pindex Conference proceedings 2016
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Study on Hybrid Intelligent Algorithm with Solving Pre-stack AVO Elastic Parameter Inversion Problemthm and prevent the algorithm from being trapped into local optimum by using simulated annealing algorithm. The Gardner relation is utilized to initialize population in order to make initialization of density correspond to the practical terrain conditions better and obviously improve the inversion a
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Bio-inspired Computing – Theories and Applications11th International C
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Jane Austen and the Theatre of War,od. To verify the performance of our proposal, the functions proposed in CEC 2005 are chosen as the test suite. Experimental results indicate that, on the whole, our proposed method is able to provide better results than the single parameter adaptation based differential evolution variants with resp
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Cross Currents in Religion and Culturethm and prevent the algorithm from being trapped into local optimum by using simulated annealing algorithm. The Gardner relation is utilized to initialize population in order to make initialization of density correspond to the practical terrain conditions better and obviously improve the inversion a
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