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Ansótegui, C., Heymann, B., Pon, J., Sellmann, M. and Tierney, K. (2018) Hyper-reactive Tabu Search for MaxSAT. In: Battiti, R., Brunato, M., Kotsireas, I. and Pardalos, P., Eds., Learning and Intelligent Optimization, Springer, 309-325.
https://doi.org/10.1007/978-3-030-05348-2_27

has been cited by the following article:

• TITLE: Tabu Search Technique for Optimisation of Biomass Waste to Energy Technology

  AUTHORS: David Makumbi, Afam Uzorka, John Kelechi Ukagwu

  KEYWORDS: Tabu Search, Optimization, WET, Technique

  JOURNAL NAME: Open Journal of Optimization, Vol.14 No.2, June 27, 2025

  ABSTRACT: The Tabu Search heuristic can be used to optimise the WET (waste to energy technology). Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution made in development of the adaptations to the basic Tabu Search. The principle of Tabu Search is explained, followed by the statement of the optimisation problem, the description of the optimisation of WET is given, the Tabu Search algorithm is described and the experiments and results are discussed. It was found out that initial thresholds of infeasibility should be set and these should be varied during the optimisation. The multi-objective, multi-period function should be evaluated on a Pareto incumbent front. Different strategies should be used for minimisation of cost and minimisation of infeasibility, and diversification should be done by performing random restarts with the incumbent solution.