@article {Berahhou2022587,
	title = {Memetic algorithm for the dynamic vehicle routing problem with simultaneous delivery and pickup},
	journal = {International Journal of Industrial Engineering Computations},
	volume = {13},
	number = {4},
	year = {2022},
	note = {cited By 1},
	pages = {587-600},
	abstract = {In recent years, the Vehicle Routing Problem (VRP) has become an important issue for distribution companies. Also, the rapid development of communication means and the appearance of reverse logistics have given rise to new variants of the VRP. This article deals with an important variant of the VRP which is Dynamic Vehicle Routing Problem with Simultaneous Delivery and Pickup (DVRPSDP), in which new customers appear during the working day and each customer requires simultaneous delivery and pickup. A Memetic Algorithm (MA) that combines Genetic Algorithm (GA) and local search procedure have been proposed to solve the problem. The performance of the algorithm is evaluated with the tests carried out on a set of benchmarks found in the literature. The proposed memetic algorithm is very efficient and gives many good solutions. {\textcopyright} 2022, Growing Science. All rights reserved.},
	doi = {10.5267/j.ijiec.2022.6.001},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136293713\&doi=10.5267\%2fj.ijiec.2022.6.001\&partnerID=40\&md5=6605c629683175e232e370f5bd495d0c},
	author = {Berahhou, A. and Benadada, Y. and Bouanane, K.}
}
@conference {Bouanane2022,
	title = {The Multi-Plant Production Routing Problem with Simultaneous Delivery and Pickup and Recycling, under Carbon Cap \& Trade},
	booktitle = {2022 IEEE 6th International Conference on Logistics Operations Management, GOL 2022},
	year = {2022},
	note = {cited By 0},
	abstract = {The Production Routing Problem with Simultaneous Delivery and Pickup (PRPSDP) is an integrated supply chain planning model which considers production, inventory, distribution, and routing decisions simultaneously, and which is tackled in a Reverse Logistics context. In this paper, we study the multiple plants version of the PRPSDP with integrating recycling activities. We describe the problem and illustrate it through a network flow representation, and then we aim to provide a mathematical modeling that optimizes available supply chain resources and in which we add carbon Cap-and-Trade emissions mechanism at an overall goal of minimizing total operational cost of the system. {\textcopyright} 2022 IEEE.},
	keywords = {Cap \& trade policy, Carbon, Commerce, Integrated supply chain, Multi-plants, Multiple plant, Pickups, Plant production, Production routing problem, Recycling, Reverse logistics, Routing problems, Simultaneous delivery and pickup, Supply chains, Trade policies},
	doi = {10.1109/GOL53975.2022.9820168},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135228716\&doi=10.1109\%2fGOL53975.2022.9820168\&partnerID=40\&md5=aca16b736a85a12516f0613972b1c5dd},
	author = {Bouanane, K. and Benadada, Y.}
}
@article {Bouanane2019110,
	title = {Multi-depots vehicle routing problem with simultaneous delivery and pickup and inventory restrictions: Formulation and resolution},
	journal = {International Journal of Advanced Computer Science and Applications},
	volume = {10},
	number = {2},
	year = {2019},
	note = {cited By 0},
	pages = {110-120},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063567292\&partnerID=40\&md5=fe5f589fabad46e8dfbf35ebf14ab943},
	author = {Bouanane, K. and Benadada, Y. and Bencheikh, G.}
}
