Imen Ben Mansour

SN Comput. Sci., March, 2023

2022

Optimizing Multi-objective Knapsack Problem using a Hybrid Ant Colony Approach within Multi Directional Framework.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021

Indicator Weighted Based Multi-Objective Approach using Self-Adaptive Neighborhood Operator.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

2019

A gradual weight-based ant colony approach for solving the multiobjective multidimensional knapsack problem.

[BibT_eX]

[DOI]

Evol. Intell., 2019

2018

A multi-population algorithm for multi-objective knapsack problem.

[BibT_eX]

[DOI]

Matthieu Basseur

Frédéric Saubion

Appl. Soft Comput., 2018

2017

Solving Multiobjective Knapsack Problem Using Scalarizing Function Based Local Search.

[BibT_eX]

[DOI]

Proceedings of the Software Technologies - 12th International Joint Conference, 2017

A Min-Max Tchebycheff Based Local Search Approach for MOMKP.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Software Technologies, 2017

Chebyshev-based iterated local search for multi-objective optimization.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on Intelligent Computer Communication and Processing, 2017

2015

Indicator Based Ant Colony Optimization for Multi-objective Knapsack Problem.

[BibT_eX]

[DOI]