Variable Neighborhood Search
portes grátis
Variable Neighborhood Search
11th International Conference, ICVNS 2025, Montreal, QC, Canada, May 12-14, 2025, Revised Selected Papers
G. Pardo, Eduardo; Sifaleras, Angelo; Cavero, Sergio
Springer Nature Switzerland AG
04/2026
Mole
Inglês
9783032195814
Pré-lançamento - envio 15 a 20 dias após a sua edição
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.- Solving the Minimum Positive Influence Dominating Set Problem in Social Networks Using Metaheuristics.
.- A Machine Learning Enhanced Variable Neighborhood Search Approach for the Uncapacitated Facility Location Problem
.- Adaptive VNS in Dynamic Optimization of Touristic Itineraries.
.- General Variable Neighborhood Search for the Multi-Source Capacitated Facility Location Problem with Customer Incompatibilities and Maximum Budget Service Constraints.
.- Exact and Metaheuristic Methods for a No-wait Two-Stage Hybrid Flow Shop with a Single Server.
.- Solving the Integrated Production and Routing Problem using a Skewed Hybrid Variable Neighborhood Search Algorithm.
.- PyCommend VNS: A Multi-Objective Python Library Recommendation Framework.
.- Multi-Objective VNS Tourism Planning: Optimizing Weekend Itineraries in Montreal.
.- Variable Neighborhood Programming for Job Shop Scheduling Problems.
.- Variable Formulation Search for the Cyclic Min-Max Sitting Arrangement Problem.
.- Large Language Models for Metaheuristic Implementation: A Case Study with Variable Neighborhood Search.
.- A variable neighborhood search heuristic for semi-supervised minimum sum-of-squares clustering.
.- Multi-Objective Variable Neighborhood Search for the inference of test models from user bug reports in software systems.
.- Heuristics for the PVRP with Driver Consistency: An Applied Case Study.
.- A Machine Learning Enhanced Variable Neighborhood Search Approach for the Uncapacitated Facility Location Problem
.- Adaptive VNS in Dynamic Optimization of Touristic Itineraries.
.- General Variable Neighborhood Search for the Multi-Source Capacitated Facility Location Problem with Customer Incompatibilities and Maximum Budget Service Constraints.
.- Exact and Metaheuristic Methods for a No-wait Two-Stage Hybrid Flow Shop with a Single Server.
.- Solving the Integrated Production and Routing Problem using a Skewed Hybrid Variable Neighborhood Search Algorithm.
.- PyCommend VNS: A Multi-Objective Python Library Recommendation Framework.
.- Multi-Objective VNS Tourism Planning: Optimizing Weekend Itineraries in Montreal.
.- Variable Neighborhood Programming for Job Shop Scheduling Problems.
.- Variable Formulation Search for the Cyclic Min-Max Sitting Arrangement Problem.
.- Large Language Models for Metaheuristic Implementation: A Case Study with Variable Neighborhood Search.
.- A variable neighborhood search heuristic for semi-supervised minimum sum-of-squares clustering.
.- Multi-Objective Variable Neighborhood Search for the inference of test models from user bug reports in software systems.
.- Heuristics for the PVRP with Driver Consistency: An Applied Case Study.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
artificial intelligence;combinatorial optimization;computer science;graph theory;evolutionary algorithms;genetic algorithms;simulated annealing;optimization;optimization problems
.- Solving the Minimum Positive Influence Dominating Set Problem in Social Networks Using Metaheuristics.
.- A Machine Learning Enhanced Variable Neighborhood Search Approach for the Uncapacitated Facility Location Problem
.- Adaptive VNS in Dynamic Optimization of Touristic Itineraries.
.- General Variable Neighborhood Search for the Multi-Source Capacitated Facility Location Problem with Customer Incompatibilities and Maximum Budget Service Constraints.
.- Exact and Metaheuristic Methods for a No-wait Two-Stage Hybrid Flow Shop with a Single Server.
.- Solving the Integrated Production and Routing Problem using a Skewed Hybrid Variable Neighborhood Search Algorithm.
.- PyCommend VNS: A Multi-Objective Python Library Recommendation Framework.
.- Multi-Objective VNS Tourism Planning: Optimizing Weekend Itineraries in Montreal.
.- Variable Neighborhood Programming for Job Shop Scheduling Problems.
.- Variable Formulation Search for the Cyclic Min-Max Sitting Arrangement Problem.
.- Large Language Models for Metaheuristic Implementation: A Case Study with Variable Neighborhood Search.
.- A variable neighborhood search heuristic for semi-supervised minimum sum-of-squares clustering.
.- Multi-Objective Variable Neighborhood Search for the inference of test models from user bug reports in software systems.
.- Heuristics for the PVRP with Driver Consistency: An Applied Case Study.
.- A Machine Learning Enhanced Variable Neighborhood Search Approach for the Uncapacitated Facility Location Problem
.- Adaptive VNS in Dynamic Optimization of Touristic Itineraries.
.- General Variable Neighborhood Search for the Multi-Source Capacitated Facility Location Problem with Customer Incompatibilities and Maximum Budget Service Constraints.
.- Exact and Metaheuristic Methods for a No-wait Two-Stage Hybrid Flow Shop with a Single Server.
.- Solving the Integrated Production and Routing Problem using a Skewed Hybrid Variable Neighborhood Search Algorithm.
.- PyCommend VNS: A Multi-Objective Python Library Recommendation Framework.
.- Multi-Objective VNS Tourism Planning: Optimizing Weekend Itineraries in Montreal.
.- Variable Neighborhood Programming for Job Shop Scheduling Problems.
.- Variable Formulation Search for the Cyclic Min-Max Sitting Arrangement Problem.
.- Large Language Models for Metaheuristic Implementation: A Case Study with Variable Neighborhood Search.
.- A variable neighborhood search heuristic for semi-supervised minimum sum-of-squares clustering.
.- Multi-Objective Variable Neighborhood Search for the inference of test models from user bug reports in software systems.
.- Heuristics for the PVRP with Driver Consistency: An Applied Case Study.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
