By Prof. Lakhmi C. Jain, Shing Chiang Tan (auth.), Prof. Lakhmi C. Jain, Dr. Vasile Palade, Dipti Srinivasan (eds.)
Evolutionary computing paradigms provide strong and robust adaptive seek mechanisms for method layout. This ebook contains 13 chapters protecting a large zone of themes in evolutionary computing and functions including:
- Introduction to evolutionary computing in approach design
- Evolutionary neuro-fuzzy systems
- Evolution of fuzzy controllers
- Genetic algorithms for multi-classifier design
- Evolutionary grooming of traffic
- Evolutionary particle swarms
- Fuzzy common sense structures utilizing genetic algorithms
- Evolutionary algorithms and immune studying for neural network-based controller design
- Distributed challenge fixing utilizing evolutionary learning
- Evolutionary computing inside grid environment
- Evolutionary video game conception in instant mesh networks
- Hybrid multiobjective evolutionary algorithms for the sailor task problem
- Evolutionary innovations in optimization
This e-book should be precious to researchers in clever structures with curiosity in evolutionary computing, program engineers and approach designers. The publication can be utilized by scholars and academics as a sophisticated examining fabric for classes on evolutionary computing.
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