Multi-Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients

Author:

Tripathi Praveen Kumar,Bandyopadhyay Sanghamitra,Pal Sankar Kumar

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference37 articles.

1. Multi-objective GAs quantitative indices and pattern classification;Bandyopadhyay;IEEE Transaction on Systems Man and Cybernetics – Part B: Cybernetics,2004

2. A. Carlisle, G. Dozier, Adapting particle swarm optimization to dynamic environments, in: Proceedings of International Conference on Artificial Intelligence (ICAI 2000), Las Vegas, Nevada, USA, 2000, pp. 429–434.

3. A. Carlisle, G. Dozier, Tracking changing extrema with adaptive particle swarm optimizer, in: Proceedings of the 5th Biannual World Automation Congress, Orlando, Florida, USA, 2002, pp. 265–270.

4. The particle swarm: explosion stability and convergence in a multi-dimensional complex space;Clerc;IEEE Transactions on Evolutionary Computation,2002

5. MOPSO: A proposal for multiple objective particle swarm optimization;Coello,2002

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