PSO was inspired from social behavior of bird, where a group of birds constitute a swarm. The birds randomly search for food by following the nearest bird to the food. PSO combines local search methods with global search methods, and it depends on social interaction within the swarm to locate the best achieved position so far. The main idea of PSO is obtaining a number of particles that move around in the search space and communicate with their neighborhood to locate the best solution.
Dear Jayashree
maybe this review paper be helpful for you to find good reference,
Best Regards,
Maybe your problem is about optimization, so you can use some technique like Particle Swarm Optimization, Genetic algorithm, Memetic algorithm, etc.
You can start reading about optimization problems like Knapsack problem, n-Queens problem.
Here you have PSO source code in Matlab: https://la.mathworks.com/matlabcentral/fileexchange/52857-particle-swarm-optimization--pso-?requestedDomain=true
But you need to know how to adjust some parameters according to your research problem.
Dear Jayashree Kambhampati,
I suggest you to take a look at links and attached files in topic.
- Hybrid meta-heuristic optimization based energy efficient protocol for ...
https://www.sciencedirect.com/science/article/.../S11108665173006...
- A Node Positioning Algorithm in Wireless Sensor Networks Based on ...
https://pdfs.semanticscholar.org/.../143760b6ba177bd12aed11639...
- Particle swarm optimization in wireless sensor networks: A brief ... - rtpis
rtpis.org/.../particle-swarm-optimization-in-wireless-sensor-networ...
Best reagrds
Dear Jayashree
maybe this review paper be helpful for you to find good reference,
Best Regards,
I recommend you to employ the improved optimization algorithm presented in this paper
Article Designing multi-layer quantum neural network controller for ...
I need PSO matlab code for Cluster head selection in wsn.If u have mail me at [email protected]
You can download a PSO matlab code at the following link
https://www.mathworks.com/matlabcentral/fileexchange/authors/my_fileexchange
the code is general and it can be applied to any optimization problem. All you need to do is to implement your objective function.
Regards
Houssem
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