Titlebook: Variable Neighborhood Search; 9th International Co Andrei Sleptchenko,Angelo Sifaleras,Pierre Hansen Conference proceedings 2023 The Editor

作业

书目名称Variable Neighborhood Search影响因子(影响力)




书目名称Variable Neighborhood Search影响因子(影响力)学科排名




书目名称Variable Neighborhood Search网络公开度




书目名称Variable Neighborhood Search网络公开度学科排名




书目名称Variable Neighborhood Search被引频次




书目名称Variable Neighborhood Search被引频次学科排名




书目名称Variable Neighborhood Search年度引用




书目名称Variable Neighborhood Search年度引用学科排名




书目名称Variable Neighborhood Search读者反馈




书目名称Variable Neighborhood Search读者反馈学科排名

habitat

,A VNS-Based Heuristic for the Minimum Number of Resources Under a Perfect Schedule,thm (BVNS) under the use of different initial solutions. The obtained results were compared with an exact method published in the literature. Computational results show that the proposed algorithm is efficient and effective as it can obtain optimal solutions in 95.55% of the cases in a reasonable amount of time.

Asymptomatic

,An Effective VNS for Delivery Districting,nning situations faced by delivery companies. We propose two best improvement local search procedures and a Basic Variable Neighborhood Search algorithm following the LIMA paradigm. The results suggest that our algorithm is able to find high-quality solutions within a relatively low time.

Mumble

0302-9743 United Arab Emirates, in October 2022..The 11 full papers presented in this volume were carefully reviewed and selected from 29 submissions. The papers describe recent advances in methods and applications of variable neighborhood search..978-3-031-34499-2978-3-031-34500-5Series ISSN 0302-9743 Series

MIRTH

Substitution

修改

,A VNS-Based Heuristic for the Minimum Number of Resources Under a Perfect Schedule,h time restrictions which is known to be NP-complete problem. In particular, we study the performance of the Basic Variable Neighborhood Search algorithm (BVNS) under the use of different initial solutions. The obtained results were compared with an exact method published in the literature. Computat

AMEND

,BVNS for Overlapping Community Detection,em emerge every day in this type of networks. For this reason, it is important to have procedures and mechanisms to obtain, process and analyze the information extracted from them and transform it into useful data. This situation has given rise to new hard combinatorial optimization problems related

细颈瓶

NUDGE

,Multi-objective Variable Neighborhood Search for Improving Software Modularity,is area, we can find the Software Module Clustering Problem (SMCP). This problem, which has been proved to be .-hard, focuses on finding the best organization of a software project in terms of modularity. Since modular code is easier to understand, the result is an increase of the quality of softwar