Abstract is missing.
- An ant-algorithm for the weighted minimum hitting set problemAlessandro Cincotti, Vincenzo Cutello, Francesco Pappalardo. 1-5 [doi]
- Evolutionary multiobjective optimization using a cultural algorithmCarlos A. Coello Coello, Ricardo Landa Becerra. 6-13 [doi]
- Multi-robot cooperation method based on the ant algorithmYingying Ding, Yan He, Jingping Jiang. 14-18 [doi]
- Using swarm intelligence for dynamic Web content organizingSalima Hassas. 19-25 [doi]
- Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO)Sanaz Mostaghim, Jürgen Teich. 26-33 [doi]
- Computing periodic orbits of nondifferentiable/discontinuous mappings through particle swarm optimizationKonstantinos E. Parsopoulos, Michael N. Vrahatis. 34-41 [doi]
- Virtual instrument parameter calibration with particle swarm optimizationYu Peng, Xiyuan Peng, Shengwei Meng. 42-45 [doi]
- Ant colony optimisation for E-learning: observing the emergence of pedagogic suggestionsYann Semet, Evelyne Lutton, Pierre Collet. 46-52 [doi]
- Engineering optimization with particle swarmXiaohui Hu, Russell C. Eberhart, Yuhui Shi. 53-57 [doi]
- Using a collection of humans as an execution testbed for swarm algorithmsDaniel W. Palmer, Marc Kirschenbaum, Jon Murton, Michael A. Kovacina, Daniel H. Steinberg, Sam N. Calabrese, Kelly Zajac, Chad M. Hantak, Jason E. Schatz. 58-64 [doi]
- Clustering ensemble using swarm intelligenceYan Yang, Mohamed Kamel. 65-71 [doi]
- Particle swarm optimization with Gaussian mutationNatsuki Higashi, Hitoshi Iba. 72-79 [doi]
- Bare bones particle swarmsJames Kennedy. 80-87 [doi]
- Watch thy neighbor or how the swarm can learn from its environmentRui Mendes, James Kennedy, José Neves. 88-94 [doi]
- Synchronized multi-point attack by autonomous reactive vehicles with simple local communicationChin Lua, Karl Altenburg, Kendall E. Nygard. 95-102 [doi]
- Social programming using functional swarm optimizationMark S. Voss. 103-109 [doi]
- Comparison of particle swarm optimization and backpropagation as training algorithms for neural networksVenu G. Gudise, Ganesh K. Venayagamoorthy. 110-117 [doi]
- Utilizing particle swarm optimization to label a structured beam matrixQin Sun, Yuhui Shi, Russell C. Eberhart, William A. Bauson. 118-123 [doi]
- Particle swarm optimization recommender systemSupiya Ujjin, Peter J. Bentley. 124-131 [doi]
- Ant algorithms for the optimal restoration of distribution feeders during cold load pickupIndira Mohanty, Jugal Kalita, Sanjoy Das, Anil Pahwa, Erik C. Buehler. 132-137 [doi]
- Optimal operational planning for cogeneration system using particle swarm optimizationTatsuya Tsukada, Toyokazu Tamura, Shinji Kitagawa, Yoshikazu Fukuyama. 138-143 [doi]
- Traffic incident detection using particle swarm optimizationDipti Srinivasan, Wee Hoon Loo, Ruey Long Cheu. 144-151 [doi]
- Distributed information retrieval and dissemination in swarm-based networks of mobile, autonomous agentsWilliam Agassounon. 152-159 [doi]
- Obtaining subtrees from graphs: an ant colony approachShekhar V. Gosavi, Sanjoy Das, Shilpa A. Vaze, Gurdip Singh, Erik C. Buehler. 160-166 [doi]
- Particle swarm optimization-based approach for generator maintenance schedulingChin Aik Koay, Dipti Srinivasan. 167-173 [doi]
- Fitness-distance-ratio based particle swarm optimizationThanmaya Peram, Kalyan Veeramachaneni, Chilukuri K. Mohan. 174-181 [doi]
- PSOt - a particle swarm optimization toolbox for use with MatlabBrian Birge. 182-186 [doi]
- Using cultural algorithms in industryNestor Rychtyckyj, David A. Ostrowski, George Schleis, Robert G. Reynolds. 187-192 [doi]
- Particle swarm with extended memory for multiobjective optimizationXiaohui Hu, Russell C. Eberhart, Yuhui Shi. 193-197 [doi]
- Visualizing particle swarm optimization - Gaussian particle swarm optimizationBarry R. Secrest, Gary B. Lamont. 198-204 [doi]
- Cultural swarms: modeling the impact of culture on social interaction and problem solvingRadu Iacoban, Robert G. Reynolds, Jon J. Brewster. 205-211 [doi]
- Cultural swarms: assessing the impact of culture on social interaction and problem solvingRadu Iacoban, Robert G. Reynolds, Jon J. Brewster. 212-219 [doi]
- Prediction of surface roughness in end milling using swarm intelligenceHazim El-Mounayri, Zakir Dugla, Haiyan Deng. 220-227 [doi]
- Scalability of niche PSOR. Brits, Andries P. Engelbrecht, Frans van den Bergh. 228-234 [doi]
- Using neighbourhoods with the guaranteed convergence PSOEdwin S. Peer, Frans van den Bergh, Andries P. Engelbrecht. 235-242 [doi]
- Swarm intelligence for permutation optimization: a case study of n-queens problemXiaohui Hu, Russell C. Eberhart, Yuhui Shi. 243-246 [doi]