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Metaheuristics

15th International Conference, MIC 2024, Lorient, France, June 4-7, 2024, Proceedings, Part II
BuchKartoniert, Paperback
397 Seiten
Englisch
Springererschienen am18.06.20242024
This volume constitutes the refereed proceedings of Metaheuristics on 15th International Conference, MIC 2024, held in Lorient, France, during June 4-7, 2024.The 36 full papers presented together with 34 short papers were carefully reviewed and selected from 127 submissions.mehr
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BuchKartoniert, Paperback
EUR70,61
BuchKartoniert, Paperback
EUR70,61
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Produkt

KlappentextThis volume constitutes the refereed proceedings of Metaheuristics on 15th International Conference, MIC 2024, held in Lorient, France, during June 4-7, 2024.The 36 full papers presented together with 34 short papers were carefully reviewed and selected from 127 submissions.
Details
ISBN/GTIN978-3-031-62921-1
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2024
Erscheinungsdatum18.06.2024
Auflage2024
ReiheLecture Notes in Computer Science
Seiten397 Seiten
SpracheEnglisch
Gewicht628 g
IllustrationenXVIII, 397 p. 98 illus., 64 illus. in color.
Artikel-Nr.56176873

Inhalt/Kritik

Inhaltsverzeichnis
General papers.- Learning Sparse lets for Interpretable Classification of Event interval Sequences.- Deep Reinforcement Learning for smart restarts in Exploration only Exploitation only hybrid metaheuristics.- Optimization of A Last Mile Delivery Model with A Truck and A Drone Using Mathematical Formulation and A VNS Algorithm.- An Empirical Analysis of Tabu Lists.- Strategically Influencing Seat Selection in Low cost Carriers A GRASP Approach for Revenue Maximization.- Behaviour Analysis of Trajectory and Population based Metaheuristics on Flexible Assembly Scheduling.- Matheuristic variants of DSATUR for the vertex coloring problem.- Combining Neighborhood Search with Path Relinking: A Statistical Evaluation of Path Relinking Mechanisms.- A General Purpose Neural Architecture Search Algorithm for building Deep Neural Networks.- A Dynamic Algorithm Configuration Framework Using Combinatorial Problem Features and Reinforcement Learning.- Large Neighborhood Search for the Capacitated P Median Problem.- Experiences using Julia for Implementing Multi Objective Evolutionary Algorithms.- A Matheuristic Multi Start Algorithm for a Novel Static Repositioning Problem in Public Bike Sharing Systems.- A Disjunctive Graph Solution Representation for the Continuous and Dynamic Berth Allocation Problem.- Area Coverage in Heterogeneous Multistatic Sonar Networks a Simulated Annealing Approach.- The Use of Metaheuristics in the Evolution of Collaborative Filtering Recommender Systems A review.- Modelling and solving a scheduling problem with hazardous products dynamic evolution.- Fixed set search matheuristic applied to the min Knapsack problem with compactness constraints and penalty values.- Improved Golden Sine II in synergy with Non Monopolized Local Search strategy.- Populations of hyperparametric solutions for the design of metaheuristic algorithms An empirical analysis of performance in Particle Swarm Optimization.- A GRASP algorithm for the Meal Delivery Routing Problem.- Optimization Approaches for a General Class of Single Machine Scheduling Problems.- What characteristics define a Good Solution in Social Influence Minimization Problems.- A Large Neighborhood Search Metaheuristic for the Stochastic Mixed Model Assembly Line Balancing Problem with Walking Workers.- Two Examples for the Usefulness of STNWeb for Analyzing Optimization Algorithm Behavior.- Fixed set search applied to the maximum disjoint dominating sets problem.- Extending CMSA With Reinforcement Learning Application to Minimum Dominating Set.- An Evolutionary Algorithm for the Rank Pricing Problem.- STNWeb for the Analysis of Optimization Algorithms A Short Introduction.- Multi Neighborhood Search for the Makespan Minimization Problem on Parallel Identical Machines with Conflicting Jobs.- Solving an Integrated Bi-objective Container Terminal Integrated Planning with Transshipment Operations.- Multi Objective Iterated General Variable Neighborhood Search for the Online Flexible Job Shop Problem.mehr

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