A Variable Neighborhood Search algorithm is proposed for solving a task allocation problem whose main characteristics are: (i) each task requires a certain amount of resources and each processor has a finite capacity to be search between task it is assigned; (ii) the cost of solutions includes fixed cost when using processors, assigning cost and communication cost between task assigned to different processors. A computational experiment shows that the algorithm is satisfactory in terms of time and solution qualit
Variable Neighbourhood Search (VNS) is one of the most recent metaheuristics used for solving combin...
In this paper, we compare three multi-objective algorithms based on Variable Neighborhood Search (VN...
In many real scheduling environments, a job processed later needs longer time than the same job when...
A Variable Neighborhood Search algorithm is proposed for solving a task allocation problem whose mai...
A Variable Neighborhood Search algorithm that employs new neighbourhoods is proposed for solving a t...
In this paper a variable neighborhood search (VNS) approach for the task assignment problem (TAP) is...
Variable neighborhood search is a local search metaheuristic that uses sequentially different neighb...
For many NP-hard combinatorial optimization problems, the existence of constraints complicates the i...
This research focuses on a scheduling problem with multiple unavailability periods and distinct due ...
In this paper we consider the resource constrained project scheduling problem. We propose an evoluti...
International audienceEmbedded systems have become an essential part of our lives, thanks to their e...
This paper presents variable neighborhood search (VNS) for the problem of finding the global minimum...
: A variable depth search procedure (abbreviated as VDS) is a generalization of the local search met...
AbstractThis paper presents variable neighborhood search (VNS) for the problem of finding the global...
AbstractGrid computing solves high performance and high-throughput computing problems through sharin...
Variable Neighbourhood Search (VNS) is one of the most recent metaheuristics used for solving combin...
In this paper, we compare three multi-objective algorithms based on Variable Neighborhood Search (VN...
In many real scheduling environments, a job processed later needs longer time than the same job when...
A Variable Neighborhood Search algorithm is proposed for solving a task allocation problem whose mai...
A Variable Neighborhood Search algorithm that employs new neighbourhoods is proposed for solving a t...
In this paper a variable neighborhood search (VNS) approach for the task assignment problem (TAP) is...
Variable neighborhood search is a local search metaheuristic that uses sequentially different neighb...
For many NP-hard combinatorial optimization problems, the existence of constraints complicates the i...
This research focuses on a scheduling problem with multiple unavailability periods and distinct due ...
In this paper we consider the resource constrained project scheduling problem. We propose an evoluti...
International audienceEmbedded systems have become an essential part of our lives, thanks to their e...
This paper presents variable neighborhood search (VNS) for the problem of finding the global minimum...
: A variable depth search procedure (abbreviated as VDS) is a generalization of the local search met...
AbstractThis paper presents variable neighborhood search (VNS) for the problem of finding the global...
AbstractGrid computing solves high performance and high-throughput computing problems through sharin...
Variable Neighbourhood Search (VNS) is one of the most recent metaheuristics used for solving combin...
In this paper, we compare three multi-objective algorithms based on Variable Neighborhood Search (VN...
In many real scheduling environments, a job processed later needs longer time than the same job when...