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IROS
2008
IEEE
101views Robotics» more  IROS 2008»
15 years 3 months ago
Spatial macroscopic models of a bio-inspired robotic swarm algorithm
— We present a comparative study of two spatially resolved macroscopic models of an autonomous robotic swarm. In previous experiments, the collective behavior of 15 autonomous sw...
Heiko Hamann, Heinz Wörn, Karl Crailsheim, Th...
EVOW
2008
Springer
14 years 11 months ago
Improving the Performance of Hierarchical Classification with Swarm Intelligence
In this paper we propose a new method to improve the performance of hierarchical classification. We use a swarm intelligence algorithm to select the type of classification algorith...
Nicholas Holden, Alex Alves Freitas
86
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GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
14 years 10 months ago
Integrating user preferences with particle swarms for multi-objective optimization
This paper proposes a method to use reference points as preferences to guide a particle swarm algorithm to search towards preferred regions of the Pareto front. A decision maker c...
Upali K. Wickramasinghe, Xiaodong Li
EVOW
2008
Springer
14 years 11 months ago
Compound Particle Swarm Optimization in Dynamic Environments
Adaptation to dynamic optimization problems is currently receiving a growing interest as one of the most important applications of evolutionary algorithms. In this paper, a compoun...
Lili Liu, Dingwei Wang, Shengxiang Yang
GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
14 years 10 months ago
A new quantum behaved particle swarm optimization
This paper presents a variant of Quantum behaved Particle Swarm Optimization (QPSO) named Q-QPSO for solving global optimization problems. The Q-QPSO algorithm is based on the cha...
Millie Pant, Radha Thangaraj, Ajith Abraham