1 citations · 1 across the 6 of their papers we have counts for
7 papers
Evolutionary Giant Tour for CVRP using NSE and ML Heuristic]{Evolutionary Giant Tour approach for CVRP using Node Shift Encoding and Machine Learning repair heuristic
Souad Abdoune, Menouar Boulif
The Capacitated Vehicle Routing Problem (CVRP) remains a central concern in logistics research, as route optimisation under rigid capacity and fleet restrictions directly affects o…
Node-Shift-Encoding Genetic Algorithm with fuzzy-enhanced reference tour to solve the bi-objective service-oriented TSP
Souad Abdoune, Menouar Boulif
The Travelling Salesman Problem (TSP) remains a key area of research in combinatorial optimization, with applications in logistics, manufacturing, and service delivery. This paper…
Towards a better approach to the Vehicle Routing Problem
Souad Abdoune, Menouar Boulif
The Vehicle Routing Problem (VRP) is a fundamental challenge in logistics management research, given its substantial influence on transportation efficiency, cost minimization, and…
Edge-set reduction to efficiently solve the graph partitioning problem with the genetic algorithm
Ali Chaouche, Menouar Boulif
The graph partitioning problem (GPP) is among the most challenging models in optimization. Because of its NP-hardness, the researchers directed their interest towards approximate m…
A new node-shift encoding representation for the travelling salesman problem
Menouar Boulif, Aghiles Gharbi
This paper presents a new genetic algorithm encoding representation to solve the travelling salesman problem. To assess the performance of the proposed chromosome structure, we com…
Towards a Better Modelling of the Cell Formation Problem: An Overview of Decisions and a Critical analysis of Constraints and Objectives
Menouar Boulif, Karim Atif
Cell formation problem is among the first obstacles the designer of cellular production systems must overcome. This paper presents a critical analysis of the various criteria and c…
Heterogeneous Parallel Genetic Algorithm Paradigm
Menouar Boulif
The encoding representation of the genetic algorithm can boost or hinder its performance albeit the care one can devote to operator design. Unfortunately, a representation-theory f…