If I would have a optimum performance indistribution of WSN which one is better, PSO or Ant colony optimization methods
You can read the next article:
Computational Intelligence in Wireless Sensor Networks: A Survey
http://ieeexplore.ieee.org/abstract/document/5473889/?reload=true
An extensive survey of CI applications to various problems in WSNs from various research areas and publication venues is presented in the paper. Besides, a discussion on advantages and disadvantages of CI algorithms over traditional WSN solutions is offered. In addition, a general evaluation of CI algorithms is presented, which will serve as a guide for using CI algorithms for WSNs.
Best regards
Hi. All heuristics algorithms are approximately give same performance for many problems. The point is how we tune the algorithm for the problem under consideration. Adding problem specific knowledge and hybridization is found beneficial.
PSO is simpler in operations compared with the ANTCOLONY. Your should better choose algorithm with respect to your problem. As Amol C Adamuthe said, both of them could solve the problem finally, but the convergence and complexity are different.
An alternertive suggestion is that you choose the algorithm in line with countinuous/discrete of the parameters to be optimized, since some algorithms may save your time for the operations of countinuous-to-binary, etc, please refer to Article Evolutionary-Algorithm-Assisted Joint Channel Estimation and...
PSO is a better choice than ACO. Various modifications can be made to PSO, which will fit the specific optimization problem.
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