Search Results - "El Fallahi, Abdellah"

A Novel Proactive-Reactive Scheduling Approach for the Quay Crane Scheduling Problem: A VUCA Perspective by Chargui, Kaoutar, Zouadi, Tarik, Sreedharan, V. Raja, Fallahi, Abdellah El, Reghioui, Mohamed

“…As the port operations are becoming volatile and uncertain, container handling in the port terminals is becoming more complex due to the rising customer…”
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A memetic algorithm and a tabu search for the multi-compartment vehicle routing problem by Fallahi, Abdellah El, Prins, Christian, Wolfler Calvo, Roberto

“…A generalization of the traditional vehicle routing problem (VRP) is studied in this paper. Each customer may order several products, the vehicles are…”
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Tabu search and memetic algorithms for a real scheduling and routing problem by El-Yaakoubi, Anass, El-Fallahi, Abdellah, Cherkaoui, Mohammad, Hamzaoui, Mohamed Reghioui

“…The Scheduling and Routing Problem (SRP) is a special case of the well-known vehicle routing problem, where a set of employees should perform an ensemble of…”
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Path relinking and GRG for artificial neural networks by El-Fallahi, Abdellah, Martí, Rafael, Lasdon, Leon

“…Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an…”
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A novel robust exact decomposition algorithm for berth and quay crane allocation and scheduling problem considering uncertainty and energy efficiency by Chargui, Kaoutar, Zouadi, Tarik, Sreedharan, V. Raja, El Fallahi, Abdellah, Reghioui, Mohamed

“…•The berth allocation and quay crane assignment and scheduling problem considering energy price variations is studied.•The benefits obtained by integrating…”
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Berth and quay crane allocation and scheduling with worker performance variability and yard truck deployment in container terminals by Chargui, Kaoutar, Zouadi, Tarik, El Fallahi, Abdellah, Reghioui, Mohamed, Aouam, Tarik

“…In a container terminal, the quay cranes (QCs) are the main equipment involved in the core activities. According to a bottleneck principle, the productivity…”
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A Memetic Algorithm for the Vehicle Routing Problem with Cross Docking by Sanae Larioui, Mohamed Reghioui, Abdellah El Fallahi, Kamal El Kadiri

“…In this paper we address the VRPCD, in which a set of homogeneous vehicles are used to transport products from the suppliers to customers via a cross-dock. The…”
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A Memetic Algorithm for the Vehicle Routing Problem with Cross Docking by Sanae Larioui, Mohamed Reghioui, Abdellah El Fallahi, Kamal El Kadiri

“…In this paper we address the VRPCD, in which a set of homogeneous vehicles are used to transport products from the suppliers to customers via a cross-dock. The…”
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A linear programming model and memetic algorithm for the Emergency Vehicle Routing by El Fallahi, Abdellah, Sefrioui, Imane

“…In this paper, we propose a model that can be used as a decision support system for post-disasters recovery. This model consists of finding an optimal…”
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Multilayer neural networks: an experimental evaluation of on-line training methods by Martı́, Rafael, El-Fallahi, Abdellah

“…Artificial neural networks (ANN) are inspired by the structure of biological neural networks and their ability to integrate knowledge and learning. In ANN…”
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Self-Organizing Map and Sweep algorithm to Solve the Capacitated Location Routing Problem by Oudouar, Fadoua, Lazaar, Mohamed, El Fallahi, Abdellah

“…The location routing problem combines location and routing decisions. Generally, the objective is to minimize the opening costs for the used depots, the fixed…”
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Multilayer neural networks: an experimental evaluation of on-line training methods by Marti, Rafael, El-Fallahi, Abdellah

“…This paper develops a comparative computational study of 12 well-known methods for neural network training, and proposes new training methods, based on the…”
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Approximating Unknown Mappings: An Experimental Evaluation by Martí, Rafael, Montes, Francisco, El-Fallahi, Abdellah

“…Different methodologies have been introduced in recent years with the aim of approximating unknown functions. Basically, these methodologies are general…”
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A model for sales forecasting based on fuzzy clustering and Back-propagation Neural Networks with adaptive learning rate by Hicham, A., Mohamed, B., Abdellah, E. F.

“…This paper attempts to describe hybrid sales forecasting system based on fuzzy clustering and Back-propagation (BP) Neural Networks with adaptive learning rate…”
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Path relinking and GRG for artificial neural networks: Feature cluster: scatter search methods for optimization by EL-FALLAHI, Abdellah, MARTI, Rafael, LASDON, Leon

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