Titlebook: Optimization and Learning; 5th International Co Bernabé Dorronsoro,Mario Pavone,El-Ghazali Talbi Conference proceedings 2022 The Editor(s)

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Data-Driven Simulation-Optimization (DSO): An Efficient Approach to?Optimize Simulation Models with? progressed theoretically and methodologically across different disciplines. The majority of commercial simulation packages - to some degree - offer an optimizer that allows decision-makers to conveniently determine an optimal or near-optimal system design. With the latest advancements in simulation

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Sweep Algorithms for?the?Vehicle Routing Problem with?Time Windowscle Routing Problem with Time Windows occurs, which aims to find an optimal schedule for a fleet of vehicles to deliver goods to customers. In this work, we propose three sweep algorithms, which account for the family of cluster-first, route-second methods, to solve the Vehicle Routing Problem with

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Improving the Accuracy of Vehicle Routing Problem Approximation Using the Formula for the Average Di studies used the tour distance between customers and the linehaul distance between the depot and the customers. This study focused on the linehaul distance, and we applied the formula for the average length in a right triangle and presented the average distance between depot and service area. Our p

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Neural Order-First Split-Second Algorithm for?the?Capacitated Vehicle Routing Problemal optimization problems without relying on handcrafted heuristics. In this work, we present NOFSS, a Neural Order-First Split-Second deep reinforcement learning approach for the Capacity Constrained Vehicle Routing Problem (CVRP). NOFSS consists of a hybridization between a deep neural network mode

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GRASP-Based Hybrid Search to?Solve the?Multi-objective Requirements Selection Problem issue is especially crucial if agile methodologies are used. The requirements selection problem, also called Next Release Problem (NRP), seeks to choose a subset of requirements which will be implemented in the next increment of the product. They must maximize clients satisfaction and minimize the

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olytes. These features of VGs offer great promise in electrochemical energy storage and conversion devices. Following our discussion in the previous chapter on the application of VGs as the electrode materials in supercapacitors, in this chapter we introduce the potential of VGs in other energy stor

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in previous chapters VG’s properties, its synthesis using plasma-enhanced chemical vapor deposition (PECVD), and its various applications, in this chapter we provide some conclusions and an outlook for this amazing material. PECVD has been successfully demonstrated for VG growth on various substrat

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Halima Bouzidi,Hamza Ouarnoughi,El-Ghazali Talbi,Abdessamad Ait El Cadi,Smail Niarve Intelligent Transport System (C-ITS) applications and services by enabling real-time data exchanges between vehicles, between vehicles and infrastructure systems. C-ITS technologies extend the driver perception to the traffic ahead, avoid potential road hazard situations, collision risks and impr

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