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ORCIDSIS 2011: Paris, France
- 2011 IEEE Symposium on Swarm Intelligence, SIS 2011, Paris, France, April 12-13, 2011. IEEE 2011, ISBN 978-1-61284-052-9
Particle swarm optimization algorithms
- Andries P. Engelbrecht
:
Scalability of a heterogeneous particle swarm optimizer. 1-8 - Barend Jacobus Leonard, Andries P. Engelbrecht, Andrich B. van Wyk:
Heterogeneous particle swarms in dynamic environments. 9-16 - Murilo Rebelo Pontes, Fernando Buarque de Lima Neto, Carmelo J. A. Bastos Filho:
Adaptive Clan Particle Swarm Optimization. 17-22 - Pei Wu, Ruochen Liu, Jingjing Ma, Yangyang Li:
An improved Michigan particle swarm optimization for classification. 23-29 - Paulo Sérgio Prampero, Romis Attux:
Magnetic particle swarm optimization. 30-36 - Ludmila Omeltschuk, Sabine Helwig, Moritz Mühlenthaler, Rolf Wanka:
Heterogeneous constraint handling for particle swarm optimization. 37-43
Applications of particle swarm optimization
- Nabila Nouaouria, Mounir Boukadoum:
A Particle Swarm Optimization approach to mixed attribute data-set classification. 44-51 - Andrich B. van Wyk, Andries P. Engelbrecht:
Lambda-gamma learning with feedforward neural networks using particle swarm optimization. 52-59 - Mohd Saufee Muhammad, Krishna Veni Selvan, Sharifah Masniah Wan Masra, Zuwairie Ibrahim, Amar Faiz Zainal Abidin:
An improved binary particle swarm optimization algorithm for DNA encoding enhancement. 60-67 - Yiheng Wang, Alei Liang, Haibing Guan:
Frontier-based multi-robot map exploration using Particle Swarm Optimization. 68-73 - Qian Zhu, Alei Liang, Haibing Guan:
A PSO-inspired multi-robot search algorithm independent of global information. 74-80
Poster Session
- Xinan Yan, Alei Liang, Haibing Guan:
An algorithm for self-organized aggregation of swarm robotics using timer. 81-87 - Khalid M. Salama, Ashraf M. Abdelbar:
Exploring different rule quality evaluation functions in ACO-based classification algorithms. 88-95 - Mohammed El-Abd:
A hybrid ABC-SPSO algorithm for continuous function optimization. 96-101 - Lutz Winkler, Alexander Kettler, Marc Szymanski, Heinz Wörn:
The Robot Formation Language - A formal description of formations for collective robots. 102-109 - Shi Cheng, Yuhui Shi:
Diversity control in particle swarm optimization. 110-118 - Tarun Kumar Sharma, Millie Pant:
Enhancing the food locations in an Artificial Bee Colony algorithm. 119-123 - Udit Pareek, Daniel Chonghwan Lee:
Resource allocation in bidirectional cooperative cognitive radio networks using swarm intelligence. 124-130
Methods and applications of swarm intelligence
- Alexander Kettler, Heinz Wörn:
A framework for boltzmann-type models of robotic swarms. 131-138 - Emre Çakar, Sven Tomforde, Christian Müller-Schloer:
A role-based imitation algorithm for the optimisation in dynamic fitness landscapes. 139-146 - Kevin Vitale, Robert G. Reynolds, John O'Shea, Xiangdong Che:
Learning group behavior in games: Using Cultural Algorithms: The land bridge game engine example. 147-155 - Abdelghani Bellaachia, Anasse Bari:
SFLOSCAN: A biologically-inspired data mining framework for community identification in dynamic social networks. 156-163
Swarm intelligence algorithms
- Carmelo J. A. Bastos Filho, Péricles B. C. Miranda:
Multi-Objective Particle Swarm Optimization using speciation. 164-169 - Gary Pampara, Andries P. Engelbrecht:
Binary artificial bee colony optimization. 170-177 - M. Ali Nasseri, Masoud Asadpour:
Control of flocking behavior using informed agents: An experimental study. 178-183 - Ronald Klazar, Andries P. Engelbrecht:
Dynamic load balancing inspired by division of labour in ant colonies. 184-191 - James M. Hereford:
Analysis of BEECLUST swarm algorithm. 192-198
Applications of swarm intelligence algorithms
- Imen Khamassi, Moez Hammami, Khaled Ghédira:
Ant-Q hyper-heuristic approach for solving 2-dimensional Cutting Stock Problem. 199-205 - María Arsuaga-Ríos, Miguel A. Vega-Rodríguez, Francisco Prieto Castrillo:
Multi-Objective Artificial Bee Colony for scheduling in Grid environments. 206-212 - Karthik Ganesan Pillai, John W. Sheppard:
Overlapping swarm intelligence for training artificial neural networks. 213-220 - Ruby L. V. Moritz, Kai Ramsch, Martin Middendorf:
Trophallaxis-inspired self-organized task exchange in heterogeneous swarms. 221-228 - Seyed Amin Hejazi, Muhammad Naeem, Daniel Chonghwan Lee:
Swarm based resource minimization in network coded system? 229-236 - Saeed Ashrafinia, Udit Pareek, Muhammad Naeem, Daniel Chonghwan Lee:
Biogeography-based optimization for joint relay assignment and power allocation in cognitive radio systems. 237-244
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