In this paper the problem of obtaining the Optimal Workforce Planning for enterprises is addressed as a mathematical optimization problem. Given the complexity and specific features of the corresponding optimization model, the Ant Colony Optimization metaheuristic was applied as the solution method. From computational experiments, we have shown the effectiveness of our proposal versus other state-of-art algorithms
Combinatorial optimization is a branch of optimization in applied mathematics and computer science, ...
. Ant Colony Optimization (ACO) is a class of constructive metaheuristic algorithms sharing the comm...
The article deals with the development of an effective mathematical and algorithmic apparatus for so...
In this paper the problem of obtaining the Optimal Workforce Planning for enterprises is addressed a...
In this paper a planning framework based on Ant Colony Optimization techniques is presented. It is w...
The nature has inspired several metaheuristics, outstanding among these is Ant Colony Optimization (...
Ant colony optimization (ACO) is a constructivistic and population-based metaheuristic for solving c...
This paper proposes a meta-heuristic called Ant Colony Optimization to solve multi-objective product...
[[abstract]]This paper addresses a multi-stage job-shop parallel-machine-scheduling problem with an ...
The optimum solution of the production scheduling problem for manufacturing processes at an enterpri...
During daily logistic management managers often met difficult decision optimization problem concerni...
Increased productivity and lower cost in manufacturing processes can be achieved through growing red...
AbstractOptimization problem is one of the most challenging problems that has received considerable ...
Increased productivity and lower cost in manufacturing processes can be achieved through growing red...
This article proposes an Ant Colony Optimization (ACO) metaheuristic to minimize total makespan for ...
Combinatorial optimization is a branch of optimization in applied mathematics and computer science, ...
. Ant Colony Optimization (ACO) is a class of constructive metaheuristic algorithms sharing the comm...
The article deals with the development of an effective mathematical and algorithmic apparatus for so...
In this paper the problem of obtaining the Optimal Workforce Planning for enterprises is addressed a...
In this paper a planning framework based on Ant Colony Optimization techniques is presented. It is w...
The nature has inspired several metaheuristics, outstanding among these is Ant Colony Optimization (...
Ant colony optimization (ACO) is a constructivistic and population-based metaheuristic for solving c...
This paper proposes a meta-heuristic called Ant Colony Optimization to solve multi-objective product...
[[abstract]]This paper addresses a multi-stage job-shop parallel-machine-scheduling problem with an ...
The optimum solution of the production scheduling problem for manufacturing processes at an enterpri...
During daily logistic management managers often met difficult decision optimization problem concerni...
Increased productivity and lower cost in manufacturing processes can be achieved through growing red...
AbstractOptimization problem is one of the most challenging problems that has received considerable ...
Increased productivity and lower cost in manufacturing processes can be achieved through growing red...
This article proposes an Ant Colony Optimization (ACO) metaheuristic to minimize total makespan for ...
Combinatorial optimization is a branch of optimization in applied mathematics and computer science, ...
. Ant Colony Optimization (ACO) is a class of constructive metaheuristic algorithms sharing the comm...
The article deals with the development of an effective mathematical and algorithmic apparatus for so...