Design of PI controllers based on non-convex optimization
Automatica (Journal of IFAC)
Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
Journal of Global Optimization
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Evolutionary Computation
Brief paper: Robust PID controller tuning based on the constrained particle swarm optimization
Automatica (Journal of IFAC)
Information Sciences: an International Journal
Genetic algorithms optimization for normalized normal constraint method under Pareto construction
Advances in Engineering Software
Evolutionary algorithms based design of multivariable PID controller
Expert Systems with Applications: An International Journal
Applied Pareto multi-objective optimization by stochastic solvers
Engineering Applications of Artificial Intelligence
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IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
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Towards a quick computation of well-spread pareto-optimal solutions
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Covariance matrix adaptation evolution strategy based design of centralized PID controller
Expert Systems with Applications: An International Journal
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Nonlinear robust identification using multiobjective evolutionary algorithms
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IEEE Computational Intelligence Magazine
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IEEE Transactions on Evolutionary Computation
Comparison of design concepts in multi-criteria decision-making using level diagrams
Information Sciences: an International Journal
| Hi-index | 12.05 |
A multiobjective optimisation engineering design (MOED) methodology for PI controller tuning in multivariable processes is presented. The MOED procedure is a natural approach for facing multiobjective problems where several requirements and specifications need to be fulfilled. An algorithm based on the differential evolution technique and spherical pruning is used for this purpose. To evaluate the methodology, a multivariable control benchmark is used. The obtained results validate the MOED procedure as a practical and useful technique for parametric controller tuning in multivariable processes.