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SIS 2005: Pasadena, California, USA
- 2005 IEEE Swarm Intelligence Symposium, SIS 2005, Pasadena, California, USA, June 8-10, 2005. IEEE 2005, ISBN 0-7803-8916-6
- Tanya Pankiw:
The honey bee foraging behavior syndrome: quantifying the response threshold model of division of labor. 1-6 - David Feltell, Li Bai, Rupert Soar:
Bio-inspired emergent construction. 7-14 - Daphna Buchsbaum
, Pablo Funes, Julien Budynek, Heiner Kopperman, Eric Bonabeau:
Designing collective behavior in a group of humans using a real-time polling system and interactive evolution. 15-21 - Mario Villalobos-Arias
A proposal to use stripes to maintain diversity in a multi-objective particle swarm optimizer. 22-29 - William B. Langdon, Roswitha Poll, Owen Holland, Thiemo Krink:
Understanding particle swarm optimisation by evolving problem landscapes. 30-37 - James Kennedy:
Why does it need velocity? 38-44 - Kevin J. Binkley, Masafumi Hagiwara:
Particle swarm optimization with area of influence: increasing the effectiveness of the swarm. 45-52 - Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Unified particle swarm optimization for tackling operations research problems. 53-59 - Arindam Kumar Das, Payman Arabshahi, Andrew Gray:
An ant colony system approach for solving the at-least version of the generalized minimum spanning tree problem. 60-67 - Jane-Jing Liang
Novel composition test functions for numerical global optimization. 68-75 - Gianni Di Caro
Swarm intelligence for routing in mobile ad hoc networks. 76-83 - Krishnanand N. Kaipa, Debasish Ghose:
Detection of multiple source locations using a glowworm metaphor with applications to collective robotics. 84-91 - Jim Pugh, Alcherio Martinoli
Particle swarm optimization for unsupervised robotic learning. 92-99 - Nicholas Holden, Alex Alves Freitas
A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological data. 100-107 - Ozy Sjahputera, James M. Keller:
Particle swarm over scene matching. 108-115 - Margarita Reyes Sierra, Carlos A. Coello Coello
Fitness inheritance in multi-objective particle swarm optimization. 116-123 - Jane-Jing Liang
Dynamic multi-swarm particle swarm optimizer. 124-129 - Edwin S. Peer, Andries P. Engelbrecht
CiClops: computational intelligence collaborative laboratory of pantological software. 130-137 - Mohammed El-Abd
Information exchange in multiple cooperating swarms. 138-142 - Wenwei Zha, Ganesh K. Venayagamoorthy
Neural networks based non-uniform scalar quantizer design with particle swarm optimization. 143-148 - Tim Hendtlass:
A particle swarm algorithm for high dimensional, multi-optima problem spaces. 149-154 - Shinji Kitagawa, Yoshikazu Fukuyama:
Comparison of particle swarm optimizations for optimal operational planning of energy plants. 155-161 - Andi Asmara, Renato A. Krohling, Frank Hoffmann:
Parameter tuning of a computed-torque controller for a 5 degree of freedom robot arm using co-evolutionary particle swarm optimization. 162-168 - Boonserm Kaewkamnerdpong
Perceptive particle swarm optimisation: an investigation. 169-176 - Sheng-Ta Hsieh, Cheng-Wei Lin, Tsung-Ying Sun:
Particle swarm optimization for macrocell overlap removal and placement. 177-180 - C. Timothy Hardin, Eric C. Rouchka:
DNA motif detection using particle swarm optimization and expectation-maximization. 181-184 - Xiaohui Cui, Thomas E. Potok, Paul J. Palathingal:
Document clustering using particle swarm optimization. 185-191 - Marco Dorigo
SWARM-BOT: an experiment in swarm robotics. 192-200 - Aram Galstyan, Tad Hogg, Kristina Lerman:
Modeling and mathematical analysis of swarms of microscopic robots. 201-208 - Yaniv Altshuler, Alfred M. Bruckstein, Israel A. Wagner:
Swarm robotics for a dynamic cleaning problem. 209-216 - Owen Holland, John C. Woods, Renzo De Nardi, Adrian F. Clark:
Beyond swarm intelligence: the UltraSwarm. 217-224 - Julien Nembrini
Mascarillons: flying swarm intelligence for architectural research. 225-232 - Simon Garnier
Collective decision-making by a group of cockroach-like robots. 233-240 - Vito Trianni
Emergent collective decisions in a swarm of robots. 241-248 - Dimitri V. Zarzhitsky, Diana F. Spears, William M. Spears:
Swarms for chemical plume tracing. 249-256 - Matthias Scheutz
The utility of heterogeneous swarms of simple UAVs with limited sensory capacity in detection and tracking tasks. 257-264 - Roberto Montemanni
Swarm approach for a connectivity problem in wireless networks. 265-272 - Yan Wan
A stochastic automaton-based algorithm for flexible and distributed network partitioning. 273-280 - Marco Mamei
Physical deployment of digital pheromones through RFID technology. 281-288 - Denis Garagic:
On delay-dependent stability of a swarm of networked autonomous vehicles under communication constraints. 289-293 - Daniel W. Palmer, Marc Kirschenbaum, J. Shifflet, Linda M. Seiter:
Swarm reasoning. 294-301 - Ross W. Deming, Leonid I. Perlovsky:
Sensor fusion for swarms of small unmanned aerial vehicles. 302-308 - Fumin Zhang
Generating contour plots using multiple sensor platforms. 309-316 - Paolo Gaudiano, Eric Bonabeau, Ben Shargel:
Evolving behaviors for a swarm of unmanned air vehicles. 317-324 - Onur Soysal, Erol Sahin
Probabilistic aggregation strategies in swarm robotic systems. 325-332 - Erkin Bahçeci, Erol Sahin
Evolving aggregation behaviors for swarm robotic systems: a systematic case study. 333-340 - Horst F. Wedde, Muddassar Farooq:
The wisdom of the hive applied to mobile ad-hoc networks. 341-348 - Christopher M. Cianci, Vlad Trifa, Alcherio Martinoli
Threshold-based algorithms for power-aware load balancing in sensor networks. 349-356 - Maxim Peysakhov, William C. Regli:
Ant inspired server population management in a service based computing environment. 357-364 - Grecia Lapizco-Encinas, James A. Reggia:
Diagnostic problem solving using swarm intelligence. 365-372 - Alejandro Rodríguez, James A. Reggia:
Using aggregate motion in multi-agent teams to solve search and transport problems. 373-380 - Salman Mohagheghi, Yamille del Valle, Ganesh K. Venayagamoorthy
A comparison of PSO and backpropagation for training RBF neural networks for identification of a power system with STATCOM. 381-384 - Patrick N. Ngatchou, Warren L. J. Fox, Mohamed A. El-Sharkawi:
Distributed sensor placement with sequential particle swarm optimization. 385-388 - Paul D. Reynolds, Russell W. Duren, Matthew L. Trumbo, Robert J. Marks II:
FPGA implementation of particle swarm optimization for inversion of large neural networks. 389-392 - Sheetal Doctor, Ganesh K. Venayagamoorthy
Improving the performance of particle swarm optimization using adaptive critics designs. 393-396 - Andries P. Engelbrecht
Niching ability of basic particle swarm optimization algorithms. 397-400 - Mark S. Voss:
Principal component particle swarm optimization (PCPSO). 401-404 - Ji-Xiang Du, De-Shuang Huang, Jun Zhang, Xiao-Feng Wang:
Shape matching using fuzzy discrete particle swarm optimization. 405-408 - Anthony Di Franco, K. S. Narendra:
A simple nearest-neighbor flocking rule. 409-411 - Mauro Annunziato, Stefano Pizzuti, Giuseppe Orsini, Matteo Lucchetti:
Artificial life and online flows optimisation in energy networks. 412-415 - Paul G. Flikkema
Bacterial communities: a microbiological model for swarm intelligence. 416-419 - Yuri Owechko, Swarup Medasani:
Cognitive swarms for rapid detection of objects and associations in visual imagery. 420-423 - C. Timothy Hardin, John S. Usher:
Facility layout using swarm intelligence. 424-427 - Martin C. Martin, Iavor Trifonov, Eric Bonabeau, Paolo Gaudiano:
Resource allocation for a distributed sensor network. 428-431 - Mario Gerla, Joon-Sang Park
Intelligent backbone swarms for scalable, disruption tolerant wireless networking. 432-435 - Ronaldo Menezes
Swarming computer security: an experiment in policy distribution. 436-439 - Paul W. Schermerhorn, Matthias Scheutz
The effect of environmental structure on the utility of communication in hive-based swarms. 440-443
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