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A new multivariable generalized minimum-variance controller with pole-zero placement (2004)
Journal Article
Zayed, A. S., Hussain, A., & Smith, L. (2004). A new multivariable generalized minimum-variance controller with pole-zero placement. Control and Intelligent Systems, 32(1), 35-44. https://doi.org/10.2316/Journal.201.2004.1.201-1307

This article presents the derivation of a new robust multivariable adaptive controller, which minimizes a cost function, incorporating system input, system output, and set point. It provides an adaptive mechanism that ensures that both the closed-loo... Read More about A new multivariable generalized minimum-variance controller with pole-zero placement.

Familiarity as changing perception. (2004)
Presentation / Conference Contribution
Turner, P., Davenport, E., & Van de Walle, G. (2004, September). Familiarity as changing perception

Users as abstractions (2004)
Presentation / Conference Contribution
Turner, P. (2004, June). Users as abstractions. Presented at Understanding Sociatechnical Action : Workshop

No Abstract available.

The presence probe. (2004)
Presentation / Conference Contribution
McCall, R., O'Neill, S., Carroll, F., & Benyon, D. (2004, January). The presence probe

New crossover operators for timetabling with evolutionary algorithms. (2004)
Presentation / Conference Contribution
Lewis, R. M. R., & Paechter, B. (2004, December). New crossover operators for timetabling with evolutionary algorithms

When using an evolutionary algorithm (EA) to optimise a population of feasible course timetables, it is important that the mutation and crossover operators are designed in such a way so that they don?t produce unfeasible or illegal offspring. In this... Read More about New crossover operators for timetabling with evolutionary algorithms..

Evolutionary Computation Combinatorial Optimization. (2004)
Journal Article
(2004). Evolutionary Computation Combinatorial Optimization. Journal of Mathematical Modelling and Algorithms, 3(4),

Guest Editor of Special issue of Journal of Mathematical Modelling and Algorithms

PSFGA: Parallel processing and evolutionary computation for multiobjective optimisation (2004)
Journal Article
de Toro Negro, F., Ortega, J., Ros, E., Mota, S., Paechter, B., & Martin, J. M. (2004). PSFGA: Parallel processing and evolutionary computation for multiobjective optimisation. Parallel Computing, 30(5-6), 721-739. https://doi.org/10.1016/j.parco.2003.12.012

This paper deals with the study of the cooperation between parallel processing and evolutionary computation to obtain efficient procedures for solving multiobjective optimisation problems. We propose a new algorithm called PSFGA (parallel single fron... Read More about PSFGA: Parallel processing and evolutionary computation for multiobjective optimisation.