Applications are invited from scientists / faculty members working in Govt. sectors to attend the DST, Govt. of India sponsored, The National Programme For Training Of Scientists & Technologists Working In Government Sector on Soft Computing Techniques for Optimization to be held at ABV-IIITM Gwalior from March 04-09, 2013.
All shortlisted participants will be paid AC-3 tier train fare of the shortest route. Free lodging and boarding will be provided at the Institute Guest House.
Soft Computing Techniques for Optimization
Soft computing techniques are the most popular and fascinating tools to solve the real world optimization problems which occur in almost all spheres of human activities. However, with the increasing competitiveness in the real world scenario, the mathematical models of such problems are getting more and more complex. In fact, cases may appear where it is difficult to place a problem under a specific category. In order to deal with such cases, sophisticated techniques/ algorithms are needed which can efficiently deal with such cases. Nature has always been a source of inspiration for researchers to develop algorithms for the complex numerical optimization problems usually infeasible to solve using traditional techniques. The computational algorithms inspired from nature fall under the category of Nature Inspired Algorithms. In the past few years, researchers have given much attention to Nature Inspired Algorithms (NIA) which not only give a reasonably good solution but are also computationally fast. NIA is a special and most important branch in the field of soft computing. Some of the popular Soft Computing techniques inspired from nature for complex numerical optimization include Genetic Algorithms, Simulated Annealing, Differential Evolution, Particle Swarm Optimization, Bacterial Foraging Optimization, Artificial Bee Colony, Neural Networks, and Quantum Computing etc. The aim of this training program is to bring together scientists in the field of Soft computing Algorithms. The broad topics of the program are:
- Novel Soft Computing algorithms for complex numerical optimization problems
- Soft computing algorithms for multi-objective numerical optimization problems
- Soft computing algorithms for constrained optimization
- Hybrid methods
- Parallel implementation of Soft Computing techniques
- Real world / novel applications
- Fuzzy Systems
- Neural Networks
- Evolutionary Computation