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GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
13 years 11 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
ANTSW
2010
Springer
13 years 7 months ago
Evolution of Self-organised Path Formation in a Swarm of Robots
We present a set of experiments in which a robotic swarm manages to collectively explore the environment, forming a path to navigate between two target areas, which are too distant...
Valerio Sperati, Vito Trianni, Stefano Nolfi
GECCO
2009
Springer
145views Optimization» more  GECCO 2009»
14 years 4 months ago
Geometric differential evolution
Geometric Particle Swarm Optimization (GPSO) is a recently introduced formal generalization of traditional Particle Swarm Optimization (PSO) that applies naturally to both continu...
Alberto Moraglio, Julian Togelius
SIGCOMM
2010
ACM
13 years 10 months ago
Privacy-preserving P2P data sharing with OneSwarm
Privacy--the protection of information from unauthorized disclosure--is increasingly scarce on the Internet, and yet increasingly important as every user becomes both a content co...
Tomas Isdal, Michael Piatek, Arvind Krishnamurthy,...
CEC
2008
IEEE
14 years 4 months ago
New evaluation criteria for the convergence of continuous evolutionary algorithms
—The first hitting time (FHT) plays an important role in convergence evaluation for evolutionary algorithms. However, the current criteria of the FHT are mostly under a hypothesi...
Ying Lin, Jian Huang, Jun Zhang