Table of Contents

• Comparison of Different Cue-Based Swarm Aggregation StrategiesFarshad Arvin, Ali Emre Turgut, Nicola Bellotto, Shigang Yue. 1-8 [doi]
• PHuNAC Model: Emergence of Crowd's Swarm BehaviorOlfa Beltaief, Sameh El hadouaj, Khaled Ghédira. 9-18 [doi]
• A Unique Search Model for OptimizationA. S. Xie. 19-26 [doi]
• Improve the 3-flip Neighborhood Local Search by Random Flat Move for the Set Covering ProblemChao Gao, Thomas Weise, Jinlong Li. 27-35 [doi]
• The Threat-Evading Actions of Animal Swarms without Active Defense AbilitiesQiang Sun, Xiaolong Liang, Zhonghai Yin, Yali Wang. 36-43 [doi]
• Approximate Muscle Guided Beam Search for Three-Index Assignment ProblemHe Jiang, Shuwei Zhang, Zhilei Ren, Xiaochen Lai, Yong Piao. 44-52 [doi]
• Improving Enhanced Fireworks Algorithm with New Gaussian Explosion and Population Selection StrategiesBei Zhang, Min-Xia Zhang, Yu-Jun Zheng. 53-63 [doi]
• A Unified Matrix-Based Stochastic Optimization AlgorithmXinchao Zhao, Junling Hao. 64-73 [doi]
• Chaotic Fruit Fly Optimization AlgorithmXiujuan Lei, Mingyu Du, Jin Xu, Ying Tan. 74-85 [doi]
• A New Bio-inspired Algorithm: Chicken Swarm OptimizationXianbing Meng, Yu Liu, Xiaozhi Gao, Hengzhen Zhang. 86-94 [doi]
• A Population-Based Extremal Optimization Algorithm with Knowledge-Based MutationJunfeng Chen, Yingjuan Xie, Hua Chen. 95-102 [doi]
• A New Magnetotactic Bacteria Optimization Algorithm Based on Moment MigrationHongwei Mo, Lili Liu, Mengjiao Geng. 103-114 [doi]
• A Magnetotactic Bacteria Algorithm Based on Power Spectrum for OptimizationHongwei Mo, Lili Liu, Mengjiao Geng. 115-125 [doi]
• A Proposal of PSO Particles' Initialization for Costly Unconstrained Optimization Problems: ORTHOinitMatteo Diez, Andrea Serani, Cecilia Leotardi, Emilio Fortunato Campana, Daniele Peri, Umberto Iemma, Giovanni Fasano, Silvio Giove. 126-133 [doi]
• An Adaptive Particle Swarm Optimization within the Conceptual Framework of Computational ThinkingBin Li, Xiaolei Liang, Lin Yang. 134-141 [doi]
• Topology Optimization of Particle Swarm OptimizationFenglin Li, Jian Guo. 142-149 [doi]
• Fully Learned Multi-swarm Particle Swarm OptimizationBen Niu, Huali Huang, Bin Ye, Lijing Tan, Jane-Jing Liang. 150-157 [doi]
• Using Swarm Intelligence to Search for Circulant Partial Hadamard MatricesFrederick Kin Hing Phoa, Yuan-Lung Lin, Tai Chi Wang. 158-164 [doi]
• High Performance Ant Colony Optimizer (HPACO) for Travelling Salesman Problem (TSP)Sudip Kumar Sahana, Aruna Jain. 165-172 [doi]
• A Novel Physarum-Based Ant Colony System for Solving the Real-World Traveling Salesman ProblemYuxiao Lu, Yuxin Liu, Chao Gao, Li Tao, Zili Zhang. 173-180 [doi]
• Three New Heuristic Strategies for Solving Travelling Salesman ProblemYong Xia, Changhe Li, Sanyou Y. Zeng. 181-188 [doi]
• A 2-level Approach for the Set Covering Problem: Parameter Tuning of Artificial Bee Colony Algorithm by Using Genetic AlgorithmBroderick Crawford, Ricardo Soto, Wenceslao Palma, Franklin Johnson, Fernando Paredes, Eduardo Olguín. 189-196 [doi]
• Hybrid Guided Artificial Bee Colony Algorithm for Numerical Function OptimizationHabib Shah, Tutut Herawan, Rashid Naseem, Rozaida Ghazali. 197-206 [doi]
• Classification of DNA Microarrays Using Artificial Bee Colony (ABC) AlgorithmBeatriz A. Garro, Roberto Antonio Vázquez, Katya Rodríguez. 207-214 [doi]
• Crowding-Distance-Based Multiobjective Artificial Bee Colony Algorithm for PID Parameter OptimizationXia Zhou, Jiong Shen, Yi-Guo Li. 215-222 [doi]
• An Adaptive Concentration Selection Model for Spam DetectionYang Gao, Guyue Mi, Ying Tan. 223-233 [doi]
• Control of Permanent Magnet Synchronous Motor Based on Immune Network ModelHongwei Mo, Lifang Xu. 234-245 [doi]
• Adaptive Immune-Genetic Algorithm for Fuzzy Job Shop Scheduling ProblemsBeibei Chen, Shangce Gao, Shuaiqun Wang, Aorigele Bao. 246-257 [doi]
• A Very Fast Convergent Evolutionary Algorithm for Satisfactory SolutionsXinchao Zhao, Xingquan Zuo. 258-266 [doi]
• A Novel Quantum Evolutionary Algorithm Based on Dynamic Neighborhood TopologyFeng Qi, Qianqian Feng, Xiyu Liu, Yinghong Ma. 267-274 [doi]
• Co-evolutionary Gene Expression Programming and Its Application in Wheat Aphid Population Forecast ModellingChaoxue Wang, Chunsen Ma, Xing Zhang, Kai Zhang, Wumei Zhu. 275-283 [doi]
• Neural Network Intelligent Learning Algorithm for Inter-related Energy Products ApplicationsHaruna Chiroma, Sameem Abdul Kareem, Sanah Abdullahi Muaz, Abdullah Khan, Eka Novita Sari, Tutut Herawan. 284-293 [doi]
• Data-Based State Forecast via Multivariate Grey RBF Neural Network ModelYejun Guo, Qi Kang, Lei Wang, Qidi Wu. 294-301 [doi]
• Evolving Flexible Neural Tree Model for Portland Cement Hydration ProcessZhi-feng Liang, Bo Yang, Lin Wang 0004, Xiaoqian Zhang, Lei Zhang, Nana He. 302-309 [doi]
• Hybrid Self-configuring Evolutionary Algorithm for Automated Design of Fuzzy ClassifierMaria Semenkina, Eugene Semenkin. 310-317 [doi]
• The Autonomous Suspending Control Method for Underwater Unmanned Vehicle Based on Amendment of Fuzzy Control RulesPeng-fei Peng, Zhi-Gang Chen, Xiong-wei Ren. 318-323 [doi]
• How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning SystemsTakashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu. 324-331 [doi]
• Comparison of Applying Centroidal Voronoi Tessellations and Levenberg-Marquardt on Hybrid SP-QPSO Algorithm for High Dimensional ProblemsGhazaleh Taherzadeh, Chu Kiong Loo. 332-341 [doi]
• A Hybrid Extreme Learning Machine Approach for Early Diagnosis of Parkinson's DiseaseYao-Wei Fu, Hui-Ling Chen, Su-Jie Chen, Li-Juan Li, Shan Shan Huang, Zhen-Nao Cai. 342-349 [doi]
• A Hybrid Approach for Cancer Classification Based on Particle Swarm Optimization and Prior InformationFei Han, Ya-Qi Wu, Yu Cui. 350-356 [doi]
• Grover Algorithm for Multi-objective Searching with Iteration Auto-controllingWanning Zhu, Hanwu Chen, Zhihao Liu, Xilin Xue. 357-364 [doi]
• Pareto Partial Dominance on Two Selected Objectives MOEA on Many-Objective 0/1 Knapsack ProblemsJinlong Li, Mingying Yan. 365-373 [doi]
• Analysis on a Multi-objective Binary Disperse Bacterial Colony Chemotaxis Algorithm and Its ConvergenceTao Feng, Zhaozheng Liu, Zhigang Lu. 374-385 [doi]
• Multi-objective PSO Algorithm for Feature Selection Problems with Unreliable DataYong Zhang, Changhong Xia, Dun-Wei Gong, Xiaoyan Sun. 386-393 [doi]
• Convergence Enhanced Multi-objective Particle Swarm Optimization with Introduction of Quorum-Sensing Inspired TurbulenceShan Cheng, Min-You Chen, Gang Hu. 394-403 [doi]
• Multiobjective Genetic Method for Community Discovery in Complex NetworksBingyu Liu, Cuirong Wang, Cong Wang. 404-413 [doi]
• A Multi-objective Jumping Particle Swarm Optimization Algorithm for the Multicast RoutingYing Xu, Huanlai Xing. 414-423 [doi]
• A Physarum-Inspired Multi-Agent System to Solve MazeYuxin Liu, Chao Gao, Yuheng Wu, Li Tao, Yuxiao Lu, Zili Zhang. 424-430 [doi]
• Consensus of Single-Integrator Multi-Agent Systems at a Preset TimeCong Liu, Qiang Zhou, Yabin Liu. 431-441 [doi]
• Representation of the Environment and Dynamic Perception in Agent-Based Software EvolutionQingshan Li, Hua Chu, Lihang Zhang, Liang Diao. 442-449 [doi]
• Cooperative Parallel Multi Swarm Model for Clustering in Gene Expression ProfilingZakaria Benmounah, Souham Meshoul, Mohamed Batouche. 450-459 [doi]
• Self-aggregation and Eccentricity Analysis: New Tools to Enhance Clustering Performance via Swarm IntelligenceJiangshao Gu, Kunmei Wen. 460-469 [doi]
• DNA Computation Based Clustering AlgorithmZhenhua Kang, Xiyu Liu, Jie Xue. 470-478 [doi]
• Clustering Using Improved Cuckoo Search AlgorithmJie Zhao, Xiujuan Lei, Zhenqiang Wu, Ying Tan. 479-488 [doi]
• Sample Index Based Encoding for Clustering Using Evolutionary ComputationXiang Yang, Ying Tan. 489-498 [doi]
• Data Mining Tools Design with Co-operation of Biology Related AlgorithmsShakhnaz Akhmedova, Eugene Semenkin. 499-506 [doi]