Tabu Search Technique for Optimisation of Biomass Waste to Energy Technology

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.

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Publication Details

Journal
Open Journal of Optimization
Published
2025-01-01
DOI
https://doi.org/10.4236/ojop.2025.142005
Citations
2
Primary Topic
Biofuel production and bioconversion
Type
article
Field-Weighted Citation Impact
1.35
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article

Tabu Search Technique for Optimisation of Biomass Waste to Energy Technology

Afam Uzorka, David Makumbi, John Kelechi Ukagwu
2 citations
Open Journal of Optimization
Biofuel production and bioconversion
1.35
article

Tabu Search Technique for Optimisation of Biomass Waste to Energy Technology

Afam Uzorka, David Makumbi, John Kelechi Ukagwu
article en
2 citations

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.

Open Journal of OptimizationVol. 14(02)
Kampala International University (UG)
Affordable and clean energy
Openalex Percentile: Top 19%
Biofuel production and bioconversion
1.35
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Tabu Search Technique for Optimisation of Biomass Waste to Energy Technology — Afam Uzorka, David Makumbi, et al. · Open Journal of Optimization (2025) | TGRS Research Map | TGRS