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Narges Movahed's Projects

adaptive_local_search_mvrptw icon adaptive_local_search_mvrptw

The python implementation for the paper "An adaptive large neighborhood search for the multi-depot dynamic vehicle routing problem with time windows"; Published in Computers & Industrial Engineering, 2024•Elsevier

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

cplex_mvrptw icon cplex_mvrptw

A cplex code for multi-vehicle multi-depot version of CVRP with time windows

cplex_vrptw icon cplex_vrptw

This a sample code of implementing CPLEX algorithm on capacitated vehicle routing problem with time window constraints (VRPTW)

geological_coordinates_routing icon geological_coordinates_routing

This project illustrates a route between two coordinates plus reading a coordinate file and producing the distance and duration matrices between each pair or coordinates

sgvnsals_variable_neighborhood_search_for_mdvrptw icon sgvnsals_variable_neighborhood_search_for_mdvrptw

The implementation of the paper "A variable neighborhood search-based algorithm with adaptive local search for the Vehicle Routing Problem with Time Windows and multi-depots aiming for vehicle fleet reduction" in python

social-trust-network-datasets icon social-trust-network-datasets

The present repository contains the datasets relating to trust networks of two social networking websites named BitCoin and Advogato

suicidal_ideation_detection_using_gat_and_gcn icon suicidal_ideation_detection_using_gat_and_gcn

In this project, three different models based on GAT, GCN and SAGE have been implemented to examine their performance on two prominent social networking platforms, namely Twitter and Reddit.

trust_in_social_networks_learning_automata icon trust_in_social_networks_learning_automata

This project is an implementation of the paper entitled "An automata algorithm for generating trusted graphs in online social networks" which combines graph-based and artificial intelligence methodologies to develop a hybrid model for enhancing OSN coverage and accuracy.

vehicle_routing_problem_evolutionay_tree icon vehicle_routing_problem_evolutionay_tree

This an implementation of the paper proposed by Niu et al. in 2021, entitled "An improved learnable evolution model for solving multi-objective vehicle routing problem with stochastic demand".

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