International Journal of Advanced Intelligence Paradigms
Robotics and Autonomous Systems
Dynamically balanced optimal gaits of a ditch-crossing biped robot
Robotics and Autonomous Systems
Dynamic modeling of pneumatic muscles using modified fuzzy inference mechanism
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
A hybrid computing scheme for shape optimisation in thermo-fluid problems
International Journal of Computational Intelligence Studies
A hybrid computing scheme for forward and reverse mappings of metal inert gas welding process
International Journal of Computational Intelligence Studies
Expert system to predict forging load and axial stress
Applied Soft Computing
International Journal of Knowledge-based and Intelligent Engineering Systems
Near-optimal gait generations of a two-legged robot on rough terrains using soft computing
Robotics and Computer-Integrated Manufacturing
Hybrid optimization scheme for radial basis function neural network
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
Fuzzy Optimization and Decision Making
Adaptive directed mutation for real-coded genetic algorithms
Applied Soft Computing
Modeling of Friction Stir Welding of AL7075 Using Neural Networks
International Journal of Applied Evolutionary Computation
International Journal of Swarm Intelligence Research
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Recent Advances in Soft Computing: Theories and Applications
Prediction of resin bonded sand core properties using fuzzy logic
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This book starts with an introduction to soft computing, a family consisting of many members, namely Genetic Algorithms (GAs), Fuzzy Logic (FL), Neural Networks (NNs) and others. To realize the need for a non-traditional optimization tool like GA, one chapter is devoted to explain the principle of traditional optimization. The working cycle of a GA is explained in detail. The mechanisms of some specialized GAs are then discussed with appropriate examples. Fuzzy sets are introduced before explaining the principle of fuzzy reasoning and clustering. The fundamentals of NNs are presented, prior to the discussion on various forms of NN. The combined techniques, such as GA-FL, GA-NN, NN-FL and GA-FL-NN are explained in the last three chapters.