Titlebook: Metaheuristics; 15th International C Marc Sevaux,Alexandru-Liviu Olteanu,Salma Makboul Conference proceedings 2024 The Editor(s) (if applic

Gratuitous

Optimization of a Last Mile Delivery Model with a Truck and a Drone Using Mathematical Formulation anstances using the exact solution method. Considering the complexity of the ILP model, a variable neighborhood search (VNS) algorithm is introduced and assessed using small and large instances. In addition, a modified VNS algorithm involving a new neighborhood selection strategy is proposed and comp

好色

Strategically Influencing Seat Selection in?Low-Cost Carriers: A GRASP Approach for?Revenue Maximizaraveling together unless they opt for paid seat selection. This work presents a novel approach to the seat assignment problem based on a GRASP algorithm; this approach is beneficial due to its low requirement for extensive parameter calibration, intuitive nature, and adaptability to different airlin

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corn732

A General-Purpose Neural Architecture Search Algorithm for?Building Deep Neural Networksate increasingly performant neural network architectures. We conducted experiments on four different tasks, including regression, binary and multi-classification, and forecasting, to compare our algorithm with common machine learning models.

酷熱

A Matheuristic Multi-start Algorithm for?a?Novel Static Repositioning Problem in?Public Bike-Sharingem studied in the literature, achieving competitive outcomes compared to other existing methods. The experimental results in both scenarios demonstrate that this algorithm can generate high-quality solutions within a short computational time.

凈禮

Area Coverage in?Heterogeneous Multistatic Sonar Networks: A Simulated Annealing Approachrring to the situation where both the source and receiver are integrated within the same unit, specifically a TxRx buoy. In addition, in this work, we take into account a certain number of operational aspects such as coastlines, probabilistic detection models, an adverse effect called direct blast a

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Common-Migraine

Fixed Set Search Matheuristic Applied to?the?min-Knapsack Problem with?Compactness Constraints and?P aim of enhancing diversity. New instances are proposed to evaluate the proposed method on the mKPCP. The method is also tested on the mKCP to compare with existing methods. The experiments indicate that the proposed method yields promising outcomes across a diverse set of instances. The approach do

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. Matilde Marcolli, Department of Mathematics, California Institute of Technology, Pasadena, California, USA..Dr. Deepak Parashar, Cambridge Cancer Trials Centre and MRC Biostatistics Unit, University of Cambrid978-3-8348-2689-3978-3-8348-9831-9Series ISSN 0179-2156

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