By Prof. Lakhmi C. Jain, Shing Chiang Tan (auth.), Prof. Lakhmi C. Jain, Dr. Vasile Palade, Dipti Srinivasan (eds.)
Evolutionary computing paradigms supply powerful and strong adaptive seek mechanisms for process layout. This publication comprises 13 chapters overlaying a large region of themes in evolutionary computing and purposes including:
- Introduction to evolutionary computing in process design
- Evolutionary neuro-fuzzy systems
- Evolution of fuzzy controllers
- Genetic algorithms for multi-classifier design
- Evolutionary grooming of traffic
- Evolutionary particle swarms
- Fuzzy good judgment 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 concept in instant mesh networks
- Hybrid multiobjective evolutionary algorithms for the sailor task problem
- Evolutionary innovations in optimization
This publication could be priceless to researchers in clever structures with curiosity in evolutionary computing, software engineers and procedure designers. The ebook can be utilized by scholars and academics as a complicated analyzing fabric for classes on evolutionary computing.
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Additional resources for Advances in Evolutionary Computing for System Design
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