Currently going through collated papers to collect input into discussion:
- A Comparative Study on Particle Swarm Optimization for Optimal Steady-State Performance of Power Systems
- John G. Vlachogiannis and Kwang Y. Lee, Fellow, IEEE
- IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 21, NO. 4, NOVEMBER 2006
- In such complex problems, the conventional OPF techniques are susceptible to be trapped in local minima, and the solution obtained will not be the optimal one.
- A Comparison of Algorithms for the Optimization of Fermentation Processes
- 2006 IEEE Congress on Evolutionary Computation
- Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, Canada, July 16-21, 2006
- Rui Mendes Isabel Rocha Eug´enio C. Ferreira Miguel Rocha
- When solving a real world problem, the main concern is to have a tool that may be applied to the problem with as few fine-tuning as possible. We are mainly interested in the results and not in a thorough study about the algorithms involved.We do not wish to go through the cumbersome task of testing the valuation of all the parameters of these algorithms until we found a setting that is perfect for the problem at hand.
Currently looking at A Distributed Particle Swarm Optimization Algorithm for Swarm Robotic Applications …
