Papers by Hanane EL raoui
International Journal of Reconfigurable and Embedded Systems (IJRES), 2022
Iris recognition become one of the most accurate and reliable steadfast human biometric recogniti... more Iris recognition become one of the most accurate and reliable steadfast human biometric recognition system of the decad. This paper presents an accurate framework for iris recognition system using hybrid algorithm in preprocess and feature extraction section. The proposed model for iris recognition with significant feature extraction was divided into three main levels. First level is having pre-processing steps which are necessary for the desired tasks. Our model deploys on three types of datasets such as UBIRIS, CASIA, and MMU and gets optimal results for performing activity. At last, perform matching process with decision based classifier for iris recognition with acceptance or rejection rates. Experimental based results provide for analysis according to the false receipt rate and false refusal amount. In the third level, the error rate will be checked along with some statistical measures for final optimal results. Constructed on the outcome the planned method provided the most ef...
MATEC Web of Conferences, 2018
Freight transport is essential to modern urban civilization. No urban area could exist without a ... more Freight transport is essential to modern urban civilization. No urban area could exist without a powerful freight transport system. However, the distribution of perishable foods in urban areas is seen as a source of problems, due to traffic congestion, time pressures, and environmental impact. In this paper, an Agent-Based Model integrated with Geographic Information Systems (ABM-GIS) is designed for a time-dependent vehicle routing problem with time windows. This simulation model consists of determining the quickest routes to transport fresh products, estimating Vehicle kilometer traveled VKT and vehicle hour traveled VHT where speeds and travel times depend on the time of the day. Based on a case study, analyses of changes on traffic condition were conducted to get an insight into the impact of these changes on cost, service quality represented by the respect of time windows, and carbon emissions. The results reveal that traffic jams and restrictive time windows lead to additional...
Vehicle routing problem on a road-network with fuzzy time windows for perishable food
2019 IEEE International Smart Cities Conference (ISC2), 2019
In this paper, a Capacitated Vehicle Routing Problem with Fuzzy Time Windows and multiple Paths (... more In this paper, a Capacitated Vehicle Routing Problem with Fuzzy Time Windows and multiple Paths (CVRPFTW-P) for the distribution of perishable food in urban area is proposed and solved. We adopt the real road network modeling approach considering alternative paths to find efficient routes based on real spatial data. The parametric approach is used to decompose the original fuzzy problem into a set of crisp models (CVRPFTW-P). Experiments based on a designed case study in Casablanca city of Morocco was conducted to evaluate the impact of flexible time windows on distribution costs and results show that CVRPFTW-P model can attain significant cost-saving while ensuring a good level of service.
Electronics, 2021
High transportation costs and poor quality of service are common vulnerabilities in various logis... more High transportation costs and poor quality of service are common vulnerabilities in various logistics networks, especially in food distribution. Here we propose a many-objective Customer-centric Perishable Food Distribution Problem that focuses on the cost, the quality of the product, and the service level improvement by considering not only time windows but also the customers’ target time and their priority. Recognizing the difficulty of solving such model, we propose a General Variable Neighborhood Search (GVNS) metaheuristic based approach that allows to efficiently solve a subproblem while allowing us to obtain a set of solutions. These solutions are evaluated over some non-optimized criteria and then ranked using an a posteriori approach that requires minimal information about decision maker preferences. The computational results show (a) GVNS achieved same quality solutions as an exact solver (CPLEX) in the subproblem; (b) GVNS can generate a wide number of candidate solutions...
Optimization/simulation in the supply chain context: a review
In an increasingly competitive environment, companies are led to develop their competitiveness, a... more In an increasingly competitive environment, companies are led to develop their competitiveness, a development that requires the efficient management of the supply chain. Supply chain optimization has become a major challenge. Despite the Information Technologies Solutions (ITS) available, decisions about how to plan a company's supply chain still hard to make. This is due to the complexity of problems in a logistics network and to their stochastic aspect. Therefore, combined Simulation/Optimization techniques were widely used to cope with this stochasticity. This paper is a preliminary attempt to review some applications of optimization simulation in a supply chain context, state of art various algorithms and simulation tools used in this field.
2020 5th International Conference on Logistics Operations Management (GOL), 2020
Since their introduction, Vehicle Routing Problems (VRPs) are increasingly receiving attention of... more Since their introduction, Vehicle Routing Problems (VRPs) are increasingly receiving attention of researchers. Several variants of VRPs have been introduced for numerous applications. Most of the approaches found within the literature propose to address VRPs on a customer-based graph, considering that every two nodes are linked by a single best path computed based on one criterion that is mostly the distance. However, in reality, many features can be associated to each road segment, hence alternative paths should be considered. In this study we propose a mathematical model to deal with Vehicle Routing Problem under capacity and Time Window constraint with alternative Paths denoted by CVRPTW-P for perishable food delivery. To handle the issue aforementioned, we model the problem using real road network graph. In the proposed approach alternative paths are considered in order to design routes based on real spatial data instead of mathematical equations which is commonly used in the li...
Symmetry, 2021
Optimization problems are ubiquitous nowadays. Many times, their corresponding computational mode... more Optimization problems are ubiquitous nowadays. Many times, their corresponding computational models necessarily leave out of consideration several characteristics and features of the real world, so trying to obtain the optimum solution can not be enough for a problem solving point of view. The aim of this paper is to illustrate the role of metaheuristics as solutions’ generators in a basic problem solving framework. Metaheuristics become relevant in two modes: firstly because every run (in the case of population based techniques) allows to obtain a set of potentially good solutions, and secondly, if a reference solution is available, one can set up a new optimization problem that allows to obtain solutions with similar quality in the objectives space but maximally different structure in the design space. Once a set of solutions is obtained, an example of an a posteriori analysis to rank them according with decision maker’s preferences is shown. All the problem solving framework step...
IEEE Access, 2020
Supply chain networks are typical examples of complex systems. Thereby, making decisions in such ... more Supply chain networks are typical examples of complex systems. Thereby, making decisions in such systems remains a very hard issue. To assist decision makers in formulating the appropriate strategies, robust tools are needed. Pure optimization models are not appropriate for several reasons. First, an optimization model cannot capture the dynamic behavior of a complex system. Furthermore, most common practical problems are very constrained to be modeled as simple tractable models. To fill in the gap, hybrid optimization/simulation techniques have been applied to improve the decision-making process. In this paper we explore the near-full spectrum of optimization methods and simulation techniques. A review and taxonomy were performed to give an overview of the broad field of optimization/simulation approaches applied to solve supply chain problems. Since the possibilities of coupling them are numerous, we launch a discussion and analysis that aims at determining the appropriate framework for the studied problem depending on its characteristics. Our study may serve as a guide for researchers and practitioners to select the suitable technique to solve a problem and/or to identify the promising issues to be further explored.
On the Generation of Alternative Solutions for a Perishable Food Distribution Problem
Computational Intelligence Methodologies Applied to Sustainable Development Goals
Coupling Soft Computing, Simulation and Optimization in Supply Chain Applications: Review and Taxonomy, 2020
Supply chain networks are typical examples of complex systems. Thereby, making decisions in such ... more Supply chain networks are typical examples of complex systems. Thereby, making decisions in such systems remains a very hard issue. To assist decision makers in formulating the appropriate strategies, robust tools are needed. Pure optimization models are not appropriate for several reasons. First, an optimization model cannot capture the dynamic behavior of a complex system. Furthermore, most common practical problems are very constrained to be modeled as simple tractable models. To fill in the gap, hybrid optimization/simulation techniques have been applied to improve the decision-making process.
In this paper we explore the near-full spectrum of optimization methods and simulation techniques. A review and taxonomy were performed to give an overview of the broad field of optimization/simulation approaches applied to solve supply chain problems. Since the possibilities of coupling them are numerous, we launch a discussion and analysis that aims at determining the appropriate framework for the studied problem depending on its characteristics. Our study may serve as a guide for researchers and practitioners to select the suitable technique to solve a problem and/or to identify the promising issues to be further explored.
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Papers by Hanane EL raoui
In this paper we explore the near-full spectrum of optimization methods and simulation techniques. A review and taxonomy were performed to give an overview of the broad field of optimization/simulation approaches applied to solve supply chain problems. Since the possibilities of coupling them are numerous, we launch a discussion and analysis that aims at determining the appropriate framework for the studied problem depending on its characteristics. Our study may serve as a guide for researchers and practitioners to select the suitable technique to solve a problem and/or to identify the promising issues to be further explored.