Practical Applications of Swarm Intelligence and Evolutionary Computation,Hybrid soft computingSukumar Senthilkumar*
School of Computing Science and Engineering, Vellore Institute of Technology University, India
- Corresponding Author:
- Sukumar Senthilkumar
School of Computing Science and Engineering
Vellore Institute of Technology University
Vellore-632014, Tamilnadu, India
Tel: 91-416 2202811
E-mail: [email protected]
Received date: March 13, 2014; Accepted date: March 13, 2014; Published date: March 22, 2014
Citation: Sukumar Senthil kumar (2014) Practical Applications of Swarm Intelligence and Evolutionary Computation. Int J Swarm Intell and Evol Comput 3:e106. doi:
Copyright: © 2014 Senthilkumar S. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
It is essential to have new computing techniques and algorithms because the computer evolution has changed human societies for communication, transportation, industrial production, administration, writing, and bookkeeping, technological advances/science, entertainment etc. It is well known that some problems cannot be solved through conventional hardware and software due to some drawbacks. Computing tasks have to be well defined, fairly predictable, and computable in reasonable time with serial computers in case of traditional techniques. In order to overcome such cumbersome, there are some alternatives such as DNA based computing (chemical computation), Quantum computing (quantum physical computation), Bio-computing (simulation of biological mechanisms) are proposed by various researchers. Swarm intelligence has gained very high priority among the researchers from different field like commerce, science and engineering etc. Recently much attraction is devoted for advanced, innovative and interdisciplinary research developments involving the theoretical, experimental and practical aspects of the two paradigms which are carried out in the fields of nature–inspired intelligent computation based on the principle of swarm intelligence and evolutionary algorithm.