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Interacted Multiple Ant Colonies Optimization Framework: an Experimental Study of the Evaluation and the Exploration Techniques to Control the Search Stagnation

机译：交互式多蚁群优化框架：控制搜索停滞的评估和探索技术的实验研究

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作者
Alaa Aljanaby; Ku Ruhana Ku-mahamud; Norita Md. Norwawi;
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年度 2015
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1. Interacted Multiple Ant Colonies Optimization Approach to Enhance the Performance of Ant Colony Optimization Algorithms [J] . Alaa Aljanaby, Ku Ruhana Ku-Mahamud, Norita Md. Norwawi Computer and Information Science . 2010,第1期

机译：交互式多个蚁群优化方法以提高蚁群优化算法的性能
2. Optimal path search and control of mobile robot using hybridized sine-cosine algorithm and ant colony optimization technique [J] . Industrial Robot . 2020,第4期

机译：使用杂交的正弦余弦算法和蚁群优化技术的移动机器人的最佳路径检索与控制
3. Interactive machine learning: experimental evidence for the human in the algorithmic loop: A case study on Ant Colony Optimization [J] . Holzinger Andreas, Plass Markus, Kickmeier-Rust Michael, Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies . 2019,第7期

机译：互动机学习：算法环路中人类的实验证据：蚁群优化的案例研究
4. An Exploration Technique for the Interacted Multiple Ant Colonies Optimization Framework [C] . Aljanaby A., Ku-Mahamud K.R., Norwawi N.M. Intelligent Systems, Modelling and Simulation (ISMS 2010), 2010 . 2010

机译：交互式多蚁群优化框架的探索技术
5. VNS-RAC: A hybrid Variable Neighborhood Search and Ant Colony Optimization Algorithm with Ranking for the Quadratic Assignment Problem. [D] . Caligiuri, Victor J. 2012

机译：VNS-RAC：混合赋值邻域搜索和蚁群优化算法，用于排序二次分配问题。
6. ACOustic: A Nature-Inspired Exploration Indicator for Ant Colony Optimization [O] . Rafid Sagban, Ku Ruhana Ku-Mahamud, Muhamad Shahbani Abu Bakar 2015

机译：ACOustic：蚁群优化的自然启发探索指标
7. Interacted multiple ant colonies optimization framework: An\ud experimental study of the evaluation and the exploration techniques to control the search stagnation [O] . Aljanaby, Alaa, Ku-Mahamud, Ku Ruhana, Md. Norwawi, Norita 2010

机译：交互的多个蚁群优化框架：An \ ud 控制搜索停滞的评估和探索技术的实验研究

Interacted Multiple Ant Colonies Optimization Framework: an Experimental Study of the Evaluation and the Exploration Techniques to Control the Search Stagnation

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