Olive Niyomubyeyi - Research output - Lund University

Emailolive.niyomubyeyinateko.luse

4 Article
1 Doctoral Thesis (compilation)

4 results

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2024
An improved non-dominated sorting biogeography-based optimization algorithm for multi-objective land-use allocation: a case study in Kigali-Rwanda
Niyomubyeyi, O., Veysipanah, M., Sarwat, S., Pilesjö, P. & Mansourian, A., 2024, In: Geo-Spatial Information Science. 27, 4, p. 968-982
Research output: Contribution to journal › Article › peer-review

Open Access
2022
Multi-Objective Optimization Using Evolutionary Cuckoo Search Algorithm for Evacuation Planning
Sicuaio, T., Niyomubyeyi, O., Shyndyapin, A., Pilesjö, P. & Mansourian, A., 2022 Feb 15, In: Geomatics. 2, 1, p. 53-75 22 p.
Research output: Contribution to journal › Article › peer-review

Open Access
2020
A Comparative Study of Four Metaheuristic Algorithms, AMOSA, MOABC, MSPSO, and NSGA-II for Evacuation Planning
Niyomubyeyi, O., Sicuaio, T. E., Díaz González, J. I., Pilesjö, P. & Mansourian, A., 2020 Jan 3, In: Algorithms. 13, 1, 21 p., 16.
Research output: Contribution to journal › Article › peer-review

Open Access
2019
Evacuation planning optimization based on a multi-objective artificial bee colony algorithm
Niyomubyeyi, O., Pilesjö, P. & Mansourian, A., 2019 Mar 1, In: ISPRS International Journal of Geo-Information. 8, 3, 23 p., 110.
Research output: Contribution to journal › Article › peer-review

Open Access