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:: Nature-Inspired Computation in Engineering (NICE2015) ::
 | Post date: 2015/02/28 | 

Nature-Inspired Computation becomes hugely popular in recent years and its applications has permeated into almost area of science and engineering, including artificial intelligence, computer science, data mining, engineering optimization, computational intelligence, image processing and telecommunications, etc. This conference intends to review the state-of-the-art developments in the following areas:

Topics of Interest (but not limited to)

A. Nature-Inspired Computation and Algorithms
* Ant Colony Optimization
* Artificial Neural Networks
* Bat Algorithm
* Bee Algorithms
* Cuckoo Search
* Differential Evolution and Genetic Algorithms
* Firefly Algorithm
* Flower Pollination Algorithm
* Genetic Algorithms
* Harmony Search
* Particle Swarm Optimization
* Hybrid Algorithms
* Other Algorithms
B. Theory and Analysis:
* Mathematical/Theoretical Analysis of Algorithms
* Algorithmic Characteristics and Dynamics
* Algorithm Complexity
* Convergence Analysis
* Stability Analysis of Algorithms
* Markov Chain and Statistical Techniques
* Performance Measures
* Comparison Criteria
* Stopping Criteria
* Behaviour in High Dimensions
* Other Theoretical Aspects of Algorithms

C. Applications:
* Classifications and Clustering
* Data Mining and Big Data
* Design Optimization in Engineering
* Feature Selection
* Image Segmentation and Processing
* Structural and Shape Optimization
* Bio-inspired Navigation and Optimal Search in Nature
* Inverse Problems and Parameter Estimation
* Scheduling and Routing
* Large-scale applications
* Case Studies in Energy, Transport, Telecommunications
and All Areas in Engineering and Industry

For more information: http://icomsi.org/nice2015

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