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Inès Alaya
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2020 – today
- 2023
- [c14]Samia Sammoud, Inès Alaya, Moncef Tagina:
A New Ant Population Based Improvement Heuristic for Solving Large Scale TSP. ICCCI (CCIS Volume) 2023: 495-507 - 2022
- [j3]Mouna Bouzid, Inès Alaya, Moncef Tagina:
A new artificial bee colony algorithm using a gradual weight method for the bi-objective traveling salesman problems. Evol. Intell. 15(3): 2077-2088 (2022) - [c13]Samia Sammoud, Inès Alaya:
A new Ant colony optimization metaheuristic based on pheromone guided local search instead of constructive approach. GECCO 2022: 13-21 - 2021
- [c12]Mouna Bouzid, Inès Alaya, Moncef Tagina:
Guided Bee Colony Algorithm Applied to the Daily Car Pooling Problem. ICSOFT 2021: 465-472 - [c11]Imen Ben Mansour, Inès Alaya, Moncef Tagina:
Indicator Weighted Based Multi-Objective Approach using Self-Adaptive Neighborhood Operator. KES 2021: 338-347 - 2020
- [c10]Jamila Sassi, Inès Alaya, Moncef Tagina:
Bee-route: A Bee Algorithm for the Multi-objective Vehicle Routing Problem. ICSOFT 2020: 307-318 - [c9]Mouna Bouzid, Inès Alaya, Moncef Tagina:
A Bee Colony Optimization Algorithm for the Long-Term Car Pooling Problem. ICSOFT 2020: 319-327
2010 – 2019
- 2019
- [j2]Imen Ben Mansour, Inès Alaya, Moncef Tagina:
A gradual weight-based ant colony approach for solving the multiobjective multidimensional knapsack problem. Evol. Intell. 12(2): 253-272 (2019) - [c8]Wiem Zouari, Inès Alaya, Moncef Tagina:
A new hybrid ant colony algorithms for the traveling thief problem. GECCO (Companion) 2019: 95-96 - 2017
- [c7]Wiem Zouari, Inès Alaya, Moncef Tagina:
A Hybrid Ant Colony Algorithm with a Local Search for the Strongly Correlated Knapsack Problem. AICCSA 2017: 527-533 - [c6]Imen Ben Mansour, Inès Alaya, Moncef Tagina:
Chebyshev-based iterated local search for multi-objective optimization. ICCP 2017: 163-170 - [c5]Imen Ben Mansour, Inès Alaya, Moncef Tagina:
A Min-Max Tchebycheff Based Local Search Approach for MOMKP. ICSOFT 2017: 140-150 - [c4]Imen Ben Mansour, Inès Alaya, Moncef Tagina:
Solving Multiobjective Knapsack Problem Using Scalarizing Function Based Local Search. ICSOFT (Selected Papers) 2017: 210-228 - 2015
- [c3]Imen Ben Mansour, Inès Alaya:
Indicator Based Ant Colony Optimization for Multi-objective Knapsack Problem. KES 2015: 448-457 - [c2]Wafa Nakbi, Inès Alaya, Wiem Zouari:
A Hybrid Lagrangian Search Ant Colony Optimization Algorithm for the Multidimensional Knapsack Problem. KES 2015: 1109-1119
2000 – 2009
- 2009
- [b1]Inès Alaya:
Optimisation multi-objectif par colonies de fourmis : cas des problèmes de sac à dos. (Multi-objective ant colony optimization : case of knapsack problems). Claude Bernard University Lyon 1, France, 2009 - 2007
- [j1]Inès Alaya, Christine Solnon, Khaled Ghédira:
Optimisation par colonies de fourmis pour le problème du sac à dos multidimensionnel. Tech. Sci. Informatiques 26(3-4): 371-390 (2007) - [c1]Inès Alaya, Christine Solnon, Khaled Ghédira:
Ant Colony Optimization for Multi-Objective Optimization Problems. ICTAI (1) 2007: 450-457
Coauthor Index
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