Evolutionary Computation: Towards a New Philosophy of Machine Intelligence

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Optimal des'ign of Power System Stabilizers Using Particle Swarm Opt'imization (2002, unknown): “cies in GA performance [22].”
Agent-based computational finance : Suggested readings and early research (2000, background): “Fogel (1995) and B¨ack (1996) give overviews of some of these other evolutionary methods.”
A particle swarm optimization approach for optimum design of PID controller in AVR system (2004, methodology): “The results showed that the PSO-PID controller could obtain higher quality solution, indicating the drawbacks of GA method mentioned in [ 10 ] and [14].”
Evolutionary programming techniques for economic load dispatch (2003, background): “In this respect, stochastic search algorithms such as genetic algorithms (GAs) [2]‐[13], evolution strategies (ESs) [14], [ 15 ], evolutionary programming (EP) [16]‐[28], and simulated annealing (SA) [11], [29] may prove to be very effective in solving nonlinear ELD problems without any restrictions”
Agent-based Computational Finance (2006, methodology): “21A nice balanced overview of all these methods is Fogel (1995). the behavior, and also can be easily manipulated by evolutionary operators.”