Abstract : We propose an interactive tabu search (ITS) to be
used for the development support of a product that fits a human's
feeling. Interactive evolutionary computation (IEC) is one of the
technologies used in the development support of products that fit a
human's feeling using a computer and person undergoing a communication.
The interactive generic algorithm (IGA) is generally used in the IEC. A
major problem with the use of the IEC is the increased burden on the IEC
user to evaluate multiple solution candidates. Using the ITS instead of
the IGA may reduce this burden, because the ITS user chooses only his
most favorite solution candidate among multiple solution candidates. We
performed a comparison of the search performance using simulations with
the ITS and IGA. As a result of this simulation, the search performance
of the ITS exceeded that of the IGA by a range from 2% to
10%.
https://hal.inria.fr/hal-01055586 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Wednesday, August 13, 2014 - 3:10:11 PM Last modification on : Saturday, January 8, 2022 - 6:50:02 PM Long-term archiving on: : Wednesday, November 26, 2014 - 11:51:31 PM
Tatsuya Hirokata, Masataka Tokumaru, Noriaki Muranaka. Interactive Tabu Search vs. Interactive Genetic
Algorithm. 9th International Conference on Entertainment Computing (ICEC), Sep 2010, Seoul, South Korea. pp.505-507, ⟨10.1007/978-3-642-15399-0_74⟩. ⟨hal-01055586⟩