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GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
14 years 22 days ago
Visualizing the search process of particle swarm optimization
It is a hard problem to understand the search process of particle swarm optimization over high-dimensional domain. The visualization depicts the total search process and then it w...
Yong-Hyuk Kim, Kang Hoon Lee, Yourim Yoon
GECCO
2009
Springer
145views Optimization» more  GECCO 2009»
14 years 22 days 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
CEC
2007
IEEE
14 years 15 days ago
Opposition-based particle swarm algorithm with cauchy mutation
—Particle Swarm Optimization (PSO) has shown its fast search speed in many complicated optimization and search problems. However, PSO could often easily fall into local optima. T...
Hui Wang, Hui Li, Yong Liu, Changhe Li, Sanyou Y. ...
TCS
2010
13 years 4 months ago
Runtime analysis of a binary particle swarm optimizer
We investigate the runtime of a Binary Particle Swarm Optimizer (PSO) for optimizing pseudo-Boolean functions f : {0, 1}n → R. The Binary PSO maintains a swarm of particles sear...
Dirk Sudholt, Carsten Witt
CLUSTER
2008
IEEE
14 years 19 days ago
A comparison of search heuristics for empirical code optimization
—This paper describes the application of various search techniques to the problem of automatic empirical code optimization. The search process is a critical aspect of auto-tuning...
Keith Seymour, Haihang You, Jack Dongarra