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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 1 months ago
Observing the swarm behaviour during its evolutionary design
Evolutionary Algorithms (EAs) can be used for designing Particle Swarm Optimization (PSO) algorithms that work, in some cases, considerably better than the human-designed ones. By...
Laura Diosan, Mihai Oltean
ASC
2006
13 years 9 months ago
Optimal phase shifter coordination: A multidimensional problem
In a liberalized electricity market, the use of phase shifting transformers or other power flow controlling devices allows the transmission system operator to utilize the availabl...
Jody Verboomen, Dirk Van Hertem, Ronnie Belmans, P...
ICANN
2010
Springer
13 years 7 months ago
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 8 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
GECCO
2004
Springer
158views Optimization» more  GECCO 2004»
14 years 1 months ago
Adaptively Choosing Neighbourhood Bests Using Species in a Particle Swarm Optimizer for Multimodal Function Optimization
This paper proposes an improved particle swarm optimizer using the notion of species to determine its neighbourhood best values, for solving multimodal optimization problems. In th...
Xiaodong Li