Whitley, D.; Gordon, V.S.; Mathias, K., 1994, "Lamarckian Evolution, The Baldwin Effect and Function Optimization", Parallel Problem Solving from Nature - PPSN III, Davidor, Y.; Schwefel, H.P.; Manner, R., (Eds.), Springer-Verlag, 6-15.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....the fitness of the randomly initialised networks, is unlikely to give very informed results. Work by Gruau and Whitley (1993) has shown that both the Baldwin effect and Lamarckism produce improvement over standard evolution in the cellular development of neural networks. A systematic study by Whitley, Gordon and Mathias (1994), under the name of hybrid genetic algorithms 1 , showed that for binaryencoded function optimisation problems, Lamarckian and Baldwinian evolutions were also superior. In this paper, we study the use and effect of Baldwinian and Lamarckian learning on the evolution of RBF networks. Burdsall and ....

....replacing the traditional Euclidean distance with an infinite fuzzy support membership function as in RBF networks. Using NAP classifiers rather than RBF networks saves the construction of the networks and the associated computation of the output weights at each generation of the 1 According to Whitley, Gordon and Mathias (1994), a hybrid genetic algorithm combines local search with a more traditional genetic algorithm, that is, it extends the genetic algorithm with either Baldwinian or Lamarckian learning. Most evolutionary neural network strategies, since they use the Baldwin effect, can thus be regarded as instances ....

Whitley, D.; Gordon, V.S.; Mathias, K., 1994, "Lamarckian Evolution, The Baldwin Effect and Function Optimization", Parallel Problem Solving from Nature - PPSN III, Davidor, Y.; Schwefel, H.P.; Manner, R., (Eds.), Springer-Verlag, 6-15.

....In the experiment of the Baldwin effect, the results of learning of individuals do not change their chromosomes, but only affect the selection after fitness evaluation. However, it is reported that incorporation of learning results into chromosomes also enhances the performance of GAs (see [9, 10] for example) This is known to be the Lamarckian inheritance. We also investigate the effect of Lamarckian inheritance on the evolution of associative memory, though a different implementation is required where the chromosomes are made up of components of the weight matrix instead [11] and we ....

Whitley, D., Gordon, V. S., and Mathias, K. (1994) `Lamarckian Evolution, the Baldwin Effect and Function Optimization' Proceedings of the 3rd Conference on Parallel Problem Solving from Nature, pp6-15.

....weights. With the algorithm presented in this paper, it will be possible to optimize modular artificial neural network architectures, implementing the Baldwin effect not just by learning weights, but by adapting the modular structure itself as well. However, as already observed by Whitley et al. [23], the Baldwin effect usually results in better solutions than the Lamarckian approach, but it also takes more time. Therefore, we are currently implementing this scheme on a parallel supercomputer (CM5) to try some real world problems. 6 Conclusions and further work Looking at several recent ....

D. Whitley, V.S. Gordon and K. Mathias; `Lamarckian evolution, the Baldwin effect and function optimization'. In: Y Davidor, H.-P. Schwefel and R. Männer (Eds.); Lecture Notes in Computer Science, 866, 6--15, Springer-Verlag, 1994.

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Whitley, D., Gordon, S., and Mathias, K., "Lamarckian Evolution, The Baldwin Effect, and Function Optimization," Parallel Problem Solving from Nature-PPSN3, edited by Y. Davidor, H. Schwefel, and R. Manner, Springer-Verlag, 1994, pp. 6-15.

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