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This paper attempts to bring forward various newly emerged natural computing techniques to a common platform. Six such techniques are compared among each other which have been used to solve a w ell known classical problem, the travelling salesman problem. The techniques discussed in this paper are Ant Colony Optimization (ACO), Particle Swarm Optimization(More)
The multi objective optimization problems can be found in various fields such as finance, automobile design, aircraft design, path optimization etc. This paper reviews some of the existing literature on multi objective optimization problems and some of the existing Swarm Intelligence (SI) based techniques to solve these problems. The objective of this paper(More)
This paper presents a Discrete Particle Swarm Optimization (DPSO) technique to solve Graph based Travelling Salesman Problem (TSP). TSP can be represented as a graph where nodes represent cities and edges represent paths between them. A partially connected graph addresses a more realistic problem than a completely connected graph since in real life paths(More)
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