Extensions for Benders cuts and new valid inequalities for solving the European day-ahead electricity market clearing problem efficiently

Autor: Gokhan Ceyhan, Murat Köksalan, Banu Lokman

Publikováno v: European Journal of Operational Research. 300:713-726

We study the day-ahead electricity market clearing problem under the prevailing market design in the European electricity markets. We revisit the Benders decomposition algorithm that has been used to solve this problem. We develop new valid inequalit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ad65637d54c880d91addd0c0b20bdcbd
https://doi.org/10.1016/j.ejor.2021.10.007

Representing the nondominated set in multi-objective mixed-integer programs

Autor: Ilgin Doğan, Banu Lokman, Mustafa Koksalan

Publikováno v: European Journal of Operational Research. 296:804-818

In this paper, we consider generating a representative subset of nondominated points at a prespecified precision in multi-objective mixed-integer programs (MOMIPs). The number of nondominated points grows exponentially with problem size and finding a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2160731630f67f0bf3876a09c40e0031
https://doi.org/10.1016/j.ejor.2021.04.005

Identifying preferred solutions in multiobjective combinatorial optimizationproblems

Autor: Mustafa Koksalan, Banu Lokman

Publikováno v: Lokman, B & Koksalan, M 2019, ' Identifying preferred solutions in multiobjective combinatorial optimization problems ', Turkish Journal of Electrical Engineering and Computer Sciences, vol. 27, no. 3, pp. 1970-1981 . https://doi.org/10.3906/elk-1807-18

We develop an evolutionary algorithm for multi-objective combinatorial optimization problems. The algorithm aims at converging the preferred solutions of a decision maker. We test the performance of the algorithm on the multi-objective knapsack and m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9eadb6a58dc4505d4e7466c742da66fb
https://doi.org/10.3906/elk-1807-18

A Stochastic Multi-criteria divisive hierarchical clustering algorithm

Autor: Menelaos Tasiou, Alessio Ishizaka, Banu Lokman

Publikováno v: Omega. 103:102370

Clustering is a long and widely-used technique to group similar objects based on their distance. Recently, it has been found that this grouping exercise can be enhanced if the preference information of a decision-maker is taken into account. Conseque

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::caaa12647a5231686ce6adb4e7bcaad2
https://doi.org/10.1016/j.omega.2020.102370

Optimizing a linear function over the nondominated set of multiobjective integer programs

Autor: Banu Lokman

Publikováno v: Lokman, B 2019, ' Optimizing a linear function over the nondominated set of multiobjective integer programs ', International Transactions in Operational Research . https://doi.org/10.1111/itor.12627

In this paper, we develop two algorithms to optimize a linear function over the nondominated set of multi-objective integer programs. The algorithms iteratively generate nondominated points and converge to the optimal solution reducing the feasible s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d3e9ae7f7ba71af31b69275a94ed519
https://researchportal.port.ac.uk/portal/en/publications/optimizing-a-linear-function-over-the-nondominated-set-of-multiobjective-integer-programs(d2680f79-b2da-4ae3-bf55-4f0bd3ea354a).html