Now showing items 1-3 of 3
A clustering particle swarm optimizer for locating and tracking multiple optima in dynamic environments
In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but also to track the trajectory of the changing ...
An adaptive framework to tune the coordinate systems in evolutionary algorithms
(IEEE Press, 2018-03-12)
The performance of many nature-inspired optimization algorithms depends strongly on their implemented coordinate system. However, the commonly used coordinate system is fixed and not well suited for different function ...
An adaptive multi-swarm optimizer for dynamic optimization problems
(The MIT Press, 2014-01-17)
The multi-population method has been widely used to solve dynamic optimization problems (DOPs) with the aim of maintaining multiple populations on different peaks to locate and track multiple changing optima simultaneously. ...