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ORCID5. ICSI 2014: Hefei, China
- Ying Tan, Yuhui Shi, Carlos A. Coello Coello:
Advances in Swarm Intelligence - 5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part I. Lecture Notes in Computer Science 8794, Springer 2014, ISBN 978-3-319-11856-7
Novel Swarm-Based Search Methods
- Farshad Arvin, Ali Emre Turgut, Nicola Bellotto
, Shigang Yue:
Comparison of Different Cue-Based Swarm Aggregation Strategies. 1-8 - Olfa Beltaief, Sameh El Hadouaj, Khaled Ghédira:
PHuNAC Model: Emergence of Crowd's Swarm Behavior. 9-18 - An-Shie Xie:
A Unique Search Model for Optimization. 19-26 - Chao Gao, Thomas Weise, Jinlong Li:
Improve the 3-flip Neighborhood Local Search by Random Flat Move for the Set Covering Problem. 27-35 - Qiang Sun, Xiaolong Liang, Zhonghai Yin, Yali Wang:
The Threat-Evading Actions of Animal Swarms without Active Defense Abilities. 36-43 - He Jiang, Shuwei Zhang, Zhilei Ren, Xiaochen Lai, Yong Piao:
Approximate Muscle Guided Beam Search for Three-Index Assignment Problem. 44-52
Novel Optimization Algorithm
- Bei Zhang, Min-Xia Zhang, Yu-Jun Zheng:
Improving Enhanced Fireworks Algorithm with New Gaussian Explosion and Population Selection Strategies. 53-63 - Xinchao Zhao, Junling Hao:
A Unified Matrix-Based Stochastic Optimization Algorithm. 64-73 - Xiujuan Lei, Mingyu Du, Jin Xu, Ying Tan:
Chaotic Fruit Fly Optimization Algorithm. 74-85 - Xianbing Meng, Yu Liu, Xiao Zhi Gao, Hengzhen Zhang:
A New Bio-inspired Algorithm: Chicken Swarm Optimization. 86-94 - Junfeng Chen, Yingjuan Xie, Hua Chen:
A Population-Based Extremal Optimization Algorithm with Knowledge-Based Mutation. 95-102 - Hongwei Mo, Lili Liu, Mengjiao Geng:
A New Magnetotactic Bacteria Optimization Algorithm Based on Moment Migration. 103-114 - Hongwei Mo, Lili Liu, Mengjiao Geng:
A Magnetotactic Bacteria Algorithm Based on Power Spectrum for Optimization. 115-125
Particle Swarm Optimization
- Matteo Diez, Andrea Serani, Cecilia Leotardi, Emilio Fortunato Campana, Daniele Peri, Umberto Iemma, Giovanni Fasano, Silvio Giove:
A Proposal of PSO Particles' Initialization for Costly Unconstrained Optimization Problems: ORTHOinit. 126-133 - Bin Li, Xiaolei Liang, Lin Yang:
An Adaptive Particle Swarm Optimization within the Conceptual Framework of Computational Thinking. 134-141 - Fenglin Li, Jian Guo:
Topology Optimization of Particle Swarm Optimization. 142-149 - Ben Niu, Huali Huang, Bin Ye, Lijing Tan, Jane-Jing Liang:
Fully Learned Multi-swarm Particle Swarm Optimization. 150-157 - Frederick Kin Hing Phoa, Yuan-Lung Lin, Tai-Chi Wang:
Using Swarm Intelligence to Search for Circulant Partial Hadamard Matrices. 158-164
Ant Colony Optimization for Travelling Salesman Problem
- Sudip Kumar Sahana, Aruna Jain:
High Performance Ant Colony Optimizer (HPACO) for Travelling Salesman Problem (TSP). 165-172 - Yuxiao Lu, Yuxin Liu, Chao Gao, Li Tao, Zili Zhang:
A Novel Physarum-Based Ant Colony System for Solving the Real-World Traveling Salesman Problem. 173-180 - Yong Xia, Changhe Li, Sanyou Zeng:
Three New Heuristic Strategies for Solving Travelling Salesman Problem. 181-188
Artificial Bee Colony Algorithms
- Broderick Crawford, Ricardo Soto, Wenceslao Palma, Franklin Johnson, Fernando Paredes, Eduardo Olguín:
A 2-level Approach for the Set Covering Problem: Parameter Tuning of Artificial Bee Colony Algorithm by Using Genetic Algorithm. 189-196 - Habib Shah, Tutut Herawan, Rashid Naseem, Rozaida Ghazali:
Hybrid Guided Artificial Bee Colony Algorithm for Numerical Function Optimization. 197-206 - Beatriz A. Garro, Roberto Antonio Vázquez, Katya Rodríguez:
Classification of DNA Microarrays Using Artificial Bee Colony (ABC) Algorithm. 207-214 - Xia Zhou, Jiong Shen, Yi-Guo Li:
Crowding-Distance-Based Multiobjective Artificial Bee Colony Algorithm for PID Parameter Optimization. 215-222
Artificial Immune System
- Yang Gao, Guyue Mi, Ying Tan:
An Adaptive Concentration Selection Model for Spam Detection. 223-233 - Hongwei Mo, Lifang Xu:
Control of Permanent Magnet Synchronous Motor Based on Immune Network Model. 234-245 - Beibei Chen, Shangce Gao, Shuaiqun Wang, Aorigele Bao:
Adaptive Immune-Genetic Algorithm for Fuzzy Job Shop Scheduling Problems. 246-257
Evolutionary Algorithms
- Xinchao Zhao, Xingquan Zuo:
A Very Fast Convergent Evolutionary Algorithm for Satisfactory Solutions. 258-266 - Feng Qi, Qianqian Feng, Xiyu Liu, Yinghong Ma:
A Novel Quantum Evolutionary Algorithm Based on Dynamic Neighborhood Topology. 267-274 - Chaoxue Wang, Chunsen Ma, Xing Zhang, Kai Zhang, Wumei Zhu:
Co-evolutionary Gene Expression Programming and Its Application in Wheat Aphid Population Forecast Modelling. 275-283
Neural Networks and Fuzzy Methods
- Haruna Chiroma, Sameem Abdul Kareem, Sanah Abdullahi Muaz, Abdullah Khan, Eka Novita Sari, Tutut Herawan:
Neural Network Intelligent Learning Algorithm for Inter-related Energy Products Applications. 284-293 - Yejun Guo, Qi Kang, Lei Wang, Qidi Wu:
Data-Based State Forecast via Multivariate Grey RBF Neural Network Model. 294-301 - Zhifeng Liang, Bo Yang, Lin Wang, Xiaoqian Zhang, Lei Zhang, Nana He:
Evolving Flexible Neural Tree Model for Portland Cement Hydration Process. 302-309 - Maria Semenkina, Eugene Semenkin:
Hybrid Self-configuring Evolutionary Algorithm for Automated Design of Fuzzy Classifier. 310-317 - Peng-Fei Peng, Zhi-gang Chen, Xiong-wei Ren:
The Autonomous Suspending Control Method for Underwater Unmanned Vehicle Based on Amendment of Fuzzy Control Rules. 318-323 - Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu:
How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems. 324-331
Hybrid Methods
- Ghazaleh Taherzadeh, Chu Kiong Loo:
Comparison of Applying Centroidal Voronoi Tessellations and Levenberg-Marquardt on Hybrid SP-QPSO Algorithm for High Dimensional Problems. 332-341 - Yao-Wei Fu, Hui-Ling Chen, Su-Jie Chen, Li-Juan Li, Shan-Shan Huang, Zhen-Nao Cai:
A Hybrid Extreme Learning Machine Approach for Early Diagnosis of Parkinson's Disease. 342-349 - Fei Han, Ya-Qi Wu, Yu Cui:
A Hybrid Approach for Cancer Classification Based on Particle Swarm Optimization and Prior Information. 350-356
Multi-objective Optimization
- Wanning Zhu, Hanwu Chen, Zhihao Liu, Xilin Xue:
Grover Algorithm for Multi-objective Searching with Iteration Auto-controlling. 357-364 - Jinlong Li, Mingying Yan:
Pareto Partial Dominance on Two Selected Objectives MOEA on Many-Objective 0/1 Knapsack Problems. 365-373 - Tao Feng, Zhaozheng Liu, Zhigang Lu:
Analysis on a Multi-objective Binary Disperse Bacterial Colony Chemotaxis Algorithm and Its Convergence. 374-385 - Yong Zhang, Changhong Xia, Dun-Wei Gong, Xiaoyan Sun:
Multi-objective PSO Algorithm for Feature Selection Problems with Unreliable Data. 386-393 - Shan Cheng, Min-You Chen, Gang Hu:
Convergence Enhanced Multi-objective Particle Swarm Optimization with Introduction of Quorum-Sensing Inspired Turbulence. 394-403 - Bingyu Liu, Cuirong Wang, Cong Wang:
Multiobjective Genetic Method for Community Discovery in Complex Networks. 404-413 - Ying Xu, Huanlai Xing:
A Multi-objective Jumping Particle Swarm Optimization Algorithm for the Multicast Routing. 414-423
Multi-agent Systems
- Yuxin Liu, Chao Gao, Yuheng Wu, Li Tao, Yuxiao Lu, Zili Zhang:
A Physarum-Inspired Multi-Agent System to Solve Maze. 424-430 - Cong Liu, Qiang Zhou, Yabin Liu:
Consensus of Single-Integrator Multi-Agent Systems at a Preset Time. 431-441 - Qingshan Li, Hua Chu, Lihang Zhang, Liang Diao:
Representation of the Environment and Dynamic Perception in Agent-Based Software Evolution. 442-449 - Zakaria Benmounah, Souham Meshoul, Mohamed Batouche:
Cooperative Parallel Multi Swarm Model for Clustering in Gene Expression Profiling. 450-459 - Jiangshao Gu, Kunmei Wen:
Self-aggregation and Eccentricity Analysis: New Tools to Enhance Clustering Performance via Swarm Intelligence. 460-469 - Zhenhua Kang, Xiyu Liu, Jie Xue:
DNA Computation Based Clustering Algorithm. 470-478 - Jie Zhao, Xiujuan Lei, Zhenqiang Wu, Ying Tan:
Clustering Using Improved Cuckoo Search Algorithm. 479-488 - Xiang Yang, Ying Tan:
Sample Index Based Encoding for Clustering Using Evolutionary Computation. 489-498 - Shakhnaz Akhmedova, Eugene Semenkin:
Data Mining Tools Design with Co-operation of Biology Related Algorithms. 499-506
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