Parallel biased search for combinatorial optimization: genetic algorithms and TABU
Microprocessors & Microsystems
Training neural nets with the reactive tabu search
IEEE Transactions on Neural Networks
D-optimal designs for sensor and actuator locations
Computers and Operations Research - Location analysis
Real-time tabu search for video tracking association
CP'09 Proceedings of the 15th international conference on Principles and practice of constraint programming
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A Reactive Tabu Search (RTS) is examined. Inaddition to a dynamic tabu tenure RTS also detects when thesearch has entered an unproductive area andrestarts RTS based on distinctive features of the unproductivearea. We explore the effectiveness of RTS over a static tabulist (of a kind used in many implementations) for a two variableunconstrained discrete optimization model with 9 nearlyidentical minima and 513 other local minima. One of the keyfeatures of this problem is that the two-dimensional domainallows us to provide graphical descriptions of the performanceof RTS. We then apply RTS to a sensor selection problem inactive structural acoustic control. The objective in thisproblem is to select a set of 8 sensors out of 462 potentialsensor locations so that the noise measured at the 8 chosensensors is as close as possible to the noise measured at all462. Computational experiments for data taken from a laboratorytest article at NASA Langley Research Center are provided.