Abstract is missing.
- The honey bee foraging behavior syndrome: quantifying the response threshold model of division of laborTanya Pankiw. 1-6 [doi]
- Bio-inspired emergent constructionDavid Feltell, Li Bai, Rupert Soar. 7-14 [doi]
- Designing collective behavior in a group of humans using a real-time polling system and interactive evolutionDaphna Buchsbaumm, Pablo Funes, Julien Budynek, Heiner Kopperman, Eric Bonabeau. 15-21 [doi]
- A proposal to use stripes to maintain diversity in a multi-objective particle swarm optimizerMario Villalobos-Arias, Gregorio Toscano Pulido, Carlos A. Coello Coello. 22-29 [doi]
- Understanding particle swarm optimisation by evolving problem landscapesWilliam B. Langdon, Roswitha Poll, Owen Holland, Thiemo Krink. 30-37 [doi]
- Why does it need velocity?James Kennedy. 38-44 [doi]
- Particle swarm optimization with area of influence: increasing the effectiveness of the swarmKevin J. Binkley, Masafumi Hagiwara. 45-52 [doi]
- Unified particle swarm optimization for tackling operations research problemsKonstantinos E. Parsopoulos, Michael N. Vrahatis. 53-59 [doi]
- An ant colony system approach for solving the at-least version of the generalized minimum spanning tree problemArindam Kumar Das, Payman Arabshahi, Andrew Gray. 60-67 [doi]
- Novel composition test functions for numerical global optimizationJane-Jing Liang, Ponnuthurai Nagaratnam Suganthan, Kalyanmoy Deb. 68-75 [doi]
- Swarm intelligence for routing in mobile ad hoc networksGianni Di Caro, Frederick Ducatelle, Luca Maria Gambardella. 76-83 [doi]
- Detection of multiple source locations using a glowworm metaphor with applications to collective roboticsKrishnanand N. Kaipa, Debasish Ghose. 84-91 [doi]
- Particle swarm optimization for unsupervised robotic learningJim Pugh, Alcherio Martinoli, Yizhen Zhang. 92-99 [doi]
- A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological dataNicholas Holden, Alex Alves Freitas. 100-107 [doi]
- Particle swarm over scene matchingOzy Sjahputera, James M. Keller. 108-115 [doi]
- Fitness inheritance in multi-objective particle swarm optimizationMargarita Reyes Sierra, Carlos A. Coello Coello. 116-123 [doi]
- Dynamic multi-swarm particle swarm optimizerJane-Jing Liang, Ponnuthurai Nagaratnam Suganthan. 124-129 [doi]
- CiClops: computational intelligence collaborative laboratory of pantological softwareEdwin S. Peer, Andries P. Engelbrecht, Gary Pampara, B. S. Masiye. 130-137 [doi]
- Information exchange in multiple cooperating swarmsMohammed El-Abd, Mohamed Kamel. 138-142 [doi]
- Neural networks based non-uniform scalar quantizer design with particle swarm optimizationWenwei Zha, Ganesh K. Venayagamoorthy. 143-148 [doi]
- A particle swarm algorithm for high dimensional, multi-optima problem spacesTim Hendtlass. 149-154 [doi]
- Comparison of particle swarm optimizations for optimal operational planning of energy plantsShinji Kitagawa, Yoshikazu Fukuyama. 155-161 [doi]
- Parameter tuning of a computed-torque controller for a 5 degree of freedom robot arm using co-evolutionary particle swarm optimizationAndi Asmara, Renato A. Krohling, Frank Hoffmann. 162-168 [doi]
- Perceptive particle swarm optimisation: an investigationBoonserm Kaewkamnerdpong, Peter J. Bentley. 169-176 [doi]
- Particle swarm optimization for macrocell overlap removal and placementSheng-Ta Hsieh, Cheng-Wei Lin, Tsung-Ying Sun. 177-180 [doi]
- DNA motif detection using particle swarm optimization and expectation-maximizationC. Timothy Hardin, Eric C. Rouchka. 181-184 [doi]
- Document clustering using particle swarm optimizationXiaohui Cui, Thomas E. Potok, Paul J. Palathingal. 185-191 [doi]
- SWARM-BOT: an experiment in swarm roboticsMarco Dorigo. 192-200 [doi]
- Modeling and mathematical analysis of swarms of microscopic robotsAram Galstyan, Tad Hogg, Kristina Lerman. 201-208 [doi]
- Swarm robotics for a dynamic cleaning problemYaniv Altshuler, Alfred M. Bruckstein, Israel A. Wagner. 209-216 [doi]
- Beyond swarm intelligence: the UltraSwarmOwen Holland, John Woods, Renzo De Nardi, Adrian Clark. 217-224 [doi]
- Mascarillons: flying swarm intelligence for architectural researchJulien Nembrini, Nicolas Reeves, Eric Poncet, Alcherio Martinoli, Alan F. T. Winfield. 225-232 [doi]
- Collective decision-making by a group of cockroach-like robotsSimon Garnier, Christian Jost, Raphaël Jeanson, Jacques Gautrais, Masoud Asadpour, Gilles Caprari, Guy Theraulaz. 233-240 [doi]
- Emergent collective decisions in a swarm of robotsVito Trianni, Marco Dorigo. 241-248 [doi]
- Swarms for chemical plume tracingDimitri Zarzhitsky, Diana F. Spears, William M. Spears. 249-256 [doi]
- The utility of heterogeneous swarms of simple UAVs with limited sensory capacity in detection and tracking tasksMatthias Scheutz, Paul W. Schermerhorn, Peter H. Bauer. 257-264 [doi]
- Swarm approach for a connectivity problem in wireless networksRoberto Montemanni, Luca Maria Gambardella. 265-272 [doi]
- A stochastic automaton-based algorithm for flexible and distributed network partitioningYan Wan, Sandip Roy, Ali Saberi, Bernard C. Lesieutre. 273-280 [doi]
- Physical deployment of digital pheromones through RFID technologyMarco Mamei, Franco Zambonelli. 281-288 [doi]
- On delay-dependent stability of a swarm of networked autonomous vehicles under communication constraintsDenis Garagic. 289-293 [doi]
- Swarm reasoningDaniel W. Palmer, Marc Kirschenbaum, J. Shifflet, Linda M. Seiter. 294-301 [doi]
- Sensor fusion for swarms of small unmanned aerial vehiclesR. W. Denting, L. I. Perlovsky. 302-308 [doi]
- Generating contour plots using multiple sensor platformsFumin Zhang, Naomi Ehrich Leonard. 309-316 [doi]
- Evolving behaviors for a swarm of unmanned air vehiclesPaolo Gaudiano, Eric Bonabeau, Ben Shargel. 317-324 [doi]
- Probabilistic aggregation strategies in swarm robotic systemsOnur Soysal, Erol Sahin. 325-332 [doi]
- Evolving aggregation behaviors for swarm robotic systems: a systematic case studyErkin Bahçeci, Erol Sahin. 333-340 [doi]
- The wisdom of the hive applied to mobile ad-hoc networksHorst F. Wedde, Muddassar Farooq. 341-348 [doi]
- Threshold-based algorithms for power-aware load balancing in sensor networksChristopher M. Cianci, Vlad Trifa, Alcherio Martinoli. 349-356 [doi]
- Ant inspired server population management in a service based computing environmentMaxim Peysakhov, William C. Regli. 357-364 [doi]
- Diagnostic problem solving using swarm intelligenceGrecia Lapizco-Encinas, James A. Reggia. 365-372 [doi]
- Using aggregate motion in multi-agent teams to solve search and transport problemsAlejandro Rodríguez, James A. Reggia. 373-380 [doi]
- A comparison of PSO and backpropagation for training RBF neural networks for identification of a power system with STATCOMSalman Mohagheghi, Yamille del Valle, Ganesh K. Venayagamoorthy, Ronald G. Harley. 381-384 [doi]
- Distributed sensor placement with sequential particle swarm optimizationPatrick N. Ngatchou, Warren L. J. Fox, Mohamed A. El-Sharkawi. 385-388 [doi]
- FPGA implementation of particle swarm optimization for inversion of large neural networksPaul D. Reynolds, Russell W. Duren, Matthew L. Trumbo, Robert J. Marks II. 389-392 [doi]
- Improving the performance of particle swarm optimization using adaptive critics designsSheetal Doctor, Ganesh K. Venayagamoorthy. 393-396 [doi]
- Niching ability of basic particle swarm optimization algorithmsAndries P. Engelbrecht, B. S. Masiye, G. Pampard. 397-400 [doi]
- Principal component particle swarm optimization (PCPSO)Mark S. Voss. 401-404 [doi]
- Shape matching using fuzzy discrete particle swarm optimizationJi-Xiang Du, De-Shuang Huang, Jun Zhang, Xiao Feng Wang. 405-408 [doi]
- A simple nearest-neighbor flocking ruleAnthony Di Franco, K. S. Narendra. 409-411 [doi]
- Artificial life and online flows optimisation in energy networksMauro Annunziato, Stefano Pizzuti, Giuseppe Orsini, Matteo Lucchetti. 412-415 [doi]
- Bacterial communities: a microbiological model for swarm intelligencePaul G. Flikkema, Jeffrey G. Leid. 416-419 [doi]
- Cognitive swarms for rapid detection of objects and associations in visual imageryYuri Owechko, Swarup Medasani. 420-423 [doi]
- Facility layout using swarm intelligenceC. Timothy Hardin, John S. Usher. 424-427 [doi]
- Resource allocation for a distributed sensor networkMartin C. Martin, Iavor Trifonov, Eric Bonabeau, Paolo Gaudiano. 428-431 [doi]
- Intelligent backbone swarms for scalable, disruption tolerant wireless networkingMario Gerla, Joon-Sang Park, Roberto Battiti, Anurag Garg. 432-435 [doi]
- Swarming computer security: an experiment in policy distributionRonaldo Menezes, Richard Ford, Attila Ondi. 436-439 [doi]
- The effect of environmental structure on the utility of communication in hive-based swarmsPaul W. Schermerhorn, Matthias Scheutz. 440-443 [doi]