Genetic Algorithms And Fuzzy Logic Systems Soft Computing Perspectives

TLDR: Helicopter flight control with fuzzy logic and genetic algorithms, C.R. Philips et al skill acquisition and skill-based motion planning for hierarchical intelligent control of a redundant manipulator, and an evolutionary approach to simulate cognitive feedback learning in medical domain.

Abstract: Helicopter flight control with fuzzy logic and genetic algorithms, C. Philips et al skill acquisition and skill-based motion planning for hierarchical intelligent control of a redundant manipulator, T. Shibata a creative design of fuzzy logic controller using a genetic algorithm, T. Hashiyama et al automatic fuzzy tuning and its applications, H. Ishigami et al an evolutionary algorithm for fuzzy controller synthesis and optimization based on SGS-Thomson's W.A.R.P. fuzzy processor, R. Poluzzi et al on-line self-structuring fuzzy inference systems for function approximation, H. Bersini fuzzy classification based on adaptive networks and genetic algorithms, C.-T. Sun and J.-S. Jang intelligent systems for fraud detection, J. Kingdon genetic algorithms for query optimization in information retrieval - relevance feedback, D.H. Kraft et al fuzzy fitness assignment in an interactive genetic algorithm for a cartoon face search, K. Nishio et al an evolutionary approach to simulate cognitive feedback learning in medical domain, H.S. Lopes et al a classified review on the combination fuzzy logic-genetic algorithms bibliography - 1989-1995, O. Cordon et al.