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Nature-Inspired Algorithms for Optimisation最新文献

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Fish School Search 鱼群搜索
Nature-Inspired Algorithms for Optimisation Pub Date : 2021-07-12 DOI: 10.1007/978-3-642-00267-0_9
C. J. A. B. Filho, Fernando Buarque de Lima-Neto, Anthony Lins, Antônio I. S. Nascimento, M. P. Lima
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引用次数: 63
A Self-adaptive Mixed Distribution Based Uni-variate Estimation of Distribution Algorithm for Large Scale Global Optimization 基于自适应混合分布的单变量分布估计大规模全局优化算法
Nature-Inspired Algorithms for Optimisation Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-00267-0_6
Yu Wang, Bin Li
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引用次数: 36
Nature-Inspired Algorithms for Optimisation 基于自然的优化算法
Nature-Inspired Algorithms for Optimisation Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-00267-0
R. Chiong
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引用次数: 126
Improving the Performance of Multiobjective Evolutionary Optimization Algorithms Using Coevolutionary Learning 利用协同进化学习改进多目标进化优化算法的性能
Nature-Inspired Algorithms for Optimisation Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-00267-0_17
Tse Guan Tan, J. Teo
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引用次数: 5
The Evolutionary-Gradient-Search Procedure in Theory and Practice 理论与实践中的进化梯度搜索方法
Nature-Inspired Algorithms for Optimisation Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-00267-0_3
R. Salomon, D. Arnold
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引用次数: 4
Applying River Formation Dynamics to Solve NP-Complete Problems 应用河流形成动力学解决np完全问题
Nature-Inspired Algorithms for Optimisation Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-00267-0_12
Pablo Rabanal, Ismael Rodríguez, F. Rubio
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引用次数: 31
Improved Particle Swarm Optimization in Constrained Numerical Search Spaces 约束数值搜索空间中的改进粒子群算法
Nature-Inspired Algorithms for Optimisation Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-00267-0_11
E. Mezura-Montes, Jorge Isacc Flores-Mendoza
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引用次数: 27
Central Pattern Generators: Optimisation and Application 中央模式生成器:优化与应用
Nature-Inspired Algorithms for Optimisation Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-00267-0_8
L. N. Patel
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引用次数: 2
Magnifier Particle Swarm Optimization 放大镜粒子群优化
Nature-Inspired Algorithms for Optimisation Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-00267-0_10
Ying Tan, Junqi Zhang
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引用次数: 4
Ranking Methods in Many-Objective Evolutionary Algorithms 多目标进化算法中的排序方法
Nature-Inspired Algorithms for Optimisation Pub Date : 1900-01-01 DOI: 10.1007/978-3-642-00267-0_15
Antonio López Jaimes, Luis V. Santana-Quintero, C. Coello
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引用次数: 25
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