This book constitutes the refereed post-conference proceedings of the 6th International Conference on Variable Neighborhood Search, ICVNS 2018, held in Sithonia, Greece, in October 2018. ICVNS 2018 received 49 submissions of which 23 full papers were carefully reviewed and selected. VNS is a metaheuristic based on systematic changes in the neighborhood structure within a search for solving optimization problems and related tasks. The main goal of ICVNS 2018 was to provide a stimulating environment in which researchers coming from various scientific fields could share and discuss their knowledge, expertise, and ideas related to the VNS metaheuristic and its applications
This paper gives details of the steps needed to undertake neighbourhood search for a combinatorial o...
Variable Neighbourhood Search (VNS) is one of the most recent metaheuristics used for solving combin...
QAP is a famous ArP-Hard[1] combinatorial optimization problem. Many theoretical and real-life probl...
Variable neighborhood search (VNS) is a well-known metaheuristic. Two main ingredients are needed fo...
The methods of intensification and diversification are indispensable in successful meta heuristics f...
Variable neighborhood search (VNS) is a well-known meta- heuristic. Two main ingredients are needed ...
The recent Variable Neighborhood Search (VNS) metaheuristic combines local search with systematic ch...
Introduction The methods of intensification and diversification are indispensable in successful met...
AbstractThis paper presents variable neighborhood search (VNS) for the problem of finding the global...
This paper presents variable neighborhood search (VNS) for the problem of finding the global minimum...
International audienceIn this article we investigate a new variant of Variable Neighborhood Search (...
Variable Neighbourhood Search (VNS) is one of the most recent metaheuristics used for problem solvin...
International audienceWe develop a variant of the variable neighborhood search (VNS) metaheuristic c...
International audienceVariable neighborhood search (VNS) is a proven heuristic framework for finding...
Abstrak Proses distribusi dianggap sangat penting bagi perusahaan karena menjadi salah satu faktor y...
This paper gives details of the steps needed to undertake neighbourhood search for a combinatorial o...
Variable Neighbourhood Search (VNS) is one of the most recent metaheuristics used for solving combin...
QAP is a famous ArP-Hard[1] combinatorial optimization problem. Many theoretical and real-life probl...
Variable neighborhood search (VNS) is a well-known metaheuristic. Two main ingredients are needed fo...
The methods of intensification and diversification are indispensable in successful meta heuristics f...
Variable neighborhood search (VNS) is a well-known meta- heuristic. Two main ingredients are needed ...
The recent Variable Neighborhood Search (VNS) metaheuristic combines local search with systematic ch...
Introduction The methods of intensification and diversification are indispensable in successful met...
AbstractThis paper presents variable neighborhood search (VNS) for the problem of finding the global...
This paper presents variable neighborhood search (VNS) for the problem of finding the global minimum...
International audienceIn this article we investigate a new variant of Variable Neighborhood Search (...
Variable Neighbourhood Search (VNS) is one of the most recent metaheuristics used for problem solvin...
International audienceWe develop a variant of the variable neighborhood search (VNS) metaheuristic c...
International audienceVariable neighborhood search (VNS) is a proven heuristic framework for finding...
Abstrak Proses distribusi dianggap sangat penting bagi perusahaan karena menjadi salah satu faktor y...
This paper gives details of the steps needed to undertake neighbourhood search for a combinatorial o...
Variable Neighbourhood Search (VNS) is one of the most recent metaheuristics used for solving combin...
QAP is a famous ArP-Hard[1] combinatorial optimization problem. Many theoretical and real-life probl...