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GECCO
2006
Springer

PSO and multi-funnel landscapes: how cooperation might limit exploration

14 years 3 months ago
PSO and multi-funnel landscapes: how cooperation might limit exploration
Particle Swarm Optimization (PSO) is a population-based optimization method in which search points employ a cooperative strategy to move toward one another. In this paper we show that PSO appears to work well on "singlefunnel" optimization functions. On more complex optimization problems, PSO tends to converge too quickly and then fail to make further progress. We contend that most benchmarks for PSO have classically been demonstrated on singlefunnel functions. However, in practice, optimization tasks are more complex and possess higher problem dimensionality. We present empirical results that support our conjecture that PSO performs well on single-funnel functions but tends to stagnate on more complicated landscapes. Categories and Subject Descriptors I.2.8 [Artificial Intelligence]: Problem Solving, Control
Andrew M. Sutton, Darrell Whitley, Monte Lunacek,
Added 23 Aug 2010
Updated 23 Aug 2010
Type Conference
Year 2006
Where GECCO
Authors Andrew M. Sutton, Darrell Whitley, Monte Lunacek, Adele E. Howe
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