Data Sets

Benchmark instances and supplementary material accompanying published research. Each page below is a permanent, citable supplementary webpage for the corresponding paper.

TIP

Solving Tool Indexing Problem using Harmony Search Algorithm with Harmony Refinement

Soft Computing, Springer, Vol. 23, No. 16, pp. 7407–7423, 2019
Open data set

TIP (HLNSLS)

Linear Formulations and a Hybrid Large Neighborhood Search Algorithm for the Tool Indexing Problem

Computers and Operations Research, Elsevier, Vol. 186, Article 107321, 2026
Open data set

MOUFLPCP

Multi-objective Uncapacitated Facility Location Problem with Customers' Preferences: Pareto-based and Weighted Sum GA-based Approaches

Soft Computing, Springer, Vol. 23, No. 23, pp. 12347–12362, 2019
Open data set

MApHLP

Multiple allocation p-hub location problem for content placement in VoD services: a differential evolution based approach

Applied Intelligence, Springer, Vol. 50, No. 5, pp. 1573-1589, 2020
Open data set

SApHLP

A new variant of the p-hub location problem with a ring backbone network for content placement in VoD services

Computers & Industrial Engineering, Elsevier, Vol. 159, Article 107432, 2021
Open data set

MOMCLPCP

A multi-objective formulation of maximal covering location problem with customers' preferences: Exploring Pareto optimality-based solutions

Expert Systems With Applications, Elsevier, Vol. 186, Article 115830, 2021
Open data set

FCMCLP

Solving a new variant of capacitated maximal covering location problem with fuzzy coverage area using metaheuristic approaches

Computers & Industrial Engineering, Elsevier, Vol. 170, Article 108315, 2022
Open data set

CFLPSDO

Solving the Capacitated Facility Location Problem with Service Distance and Outsourcing Using a Customized Artificial Bee Colony Algorithm

Evolutionary Intelligence, Springer, Vol. 18, Article 60, 2025
Open data set

ERBOMCLP

Riesz s-Energy Regularized Bi-Objective Maximal Covering Location Problem and Its Solution via a Memetic Algorithm

Memetic Computing, Springer, Vol. 18:47, 2026
Open data set