113 search results - page 14 / 23 » Evaluation of Comprehensive Learning Particle Swarm Optimize... |
CEC
2010
IEEE
13 years 7 months ago
2010
IEEE
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
CEC
2009
IEEE
14 years 1 months ago
2009
IEEE
Abstract— The role of gradient estimation in global optimization is investigated. The concept of a regional gradient is introduced as a tool for analyzing and comparing different...
TEC
2010
13 years 1 months ago
2010
In this paper, we consider the scenario that a population-based algorithm is applied to a numerical optimization problem and a solution needs to be presented within a given time bu...
CEC
2008
IEEE
14 years 1 months ago
2008
IEEE
—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...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
— In this paper, we propose a new on-line learning algorithm for the non-linear system identification: the swarm intelligence aided multi-innovation recursive least squares (SIM...