This paper presents an Ant Colony Optimisation (ACO) model for the Multiple Knapsack Problem (MKP). The ACO algorithms, as well as other evolutionary metaphors, are being applied successfully to diverse heavily constrained problems: Travelling Salesman Problem, Quadratic Assignment Problem and Bin Packing Problem. An Ant System, the first ACO algorithm that we presented in this paper, is also considered a class of multiagent distributed algorithm for combinatorial optimisation. The principle of an ACO Algorithm is adapted to the MKP. We present some results regardin its perfomance against known optimun for different instances of MKP. The obtained results show the potential power of this particular evolutionary approach for optimisation prob...
Dans cette thèse, nous nous intéressons à l'étude des capacités de la méta heuristique d'optimisatio...
Recently, a number of algorithms inspired by the foraging behavior of ant colonies have been applied...
Ant colony optimization (ACO) techniques are known to be efficient for combinatorial optimization. T...
This paper presents an Ant Colony Optimisation (ACO) model for the Multiple Knapsack Problem (MKP). ...
This paper presents an Ant Colony (AC) model for the Multiple Knapsack Problem (MKP). The ant colony...
This paper presents an Ant Colony (AC) model for the Multiple Knapsack Problem (MKP). The ant colony...
This paper presents an Ant Colony (AC) model for the Multiple Knapsack Problem (MKP). The ant colony...
Early applications of Ant Colony Optimization (ACO) have been mainly concerned with solving ordering...
Early applications of Ant Colony Optimization (ACO) have been mainly concerned with solving ordering...
A multi-colony ant system (MAS) is proposed for the combinatorial optimization problems. The propos...
A multi-colony ant system (MAS) is proposed for the combinatorial optimization problems. The propose...
Ant Colony Optimization (ACO) is a heuristic algorithm which has been proven a successful technique ...
Ant Colony Optimization is a stochastic search method that mimics the social behaviour of real ant c...
Colony Optimization (ACO) is a metaheuristic that inspired by the behaviour of real ant colonies and...
AbstractMultidimensional knapsack problem (MKP) is an NP-hard problem, the goal of which is to find ...
Dans cette thèse, nous nous intéressons à l'étude des capacités de la méta heuristique d'optimisatio...
Recently, a number of algorithms inspired by the foraging behavior of ant colonies have been applied...
Ant colony optimization (ACO) techniques are known to be efficient for combinatorial optimization. T...
This paper presents an Ant Colony Optimisation (ACO) model for the Multiple Knapsack Problem (MKP). ...
This paper presents an Ant Colony (AC) model for the Multiple Knapsack Problem (MKP). The ant colony...
This paper presents an Ant Colony (AC) model for the Multiple Knapsack Problem (MKP). The ant colony...
This paper presents an Ant Colony (AC) model for the Multiple Knapsack Problem (MKP). The ant colony...
Early applications of Ant Colony Optimization (ACO) have been mainly concerned with solving ordering...
Early applications of Ant Colony Optimization (ACO) have been mainly concerned with solving ordering...
A multi-colony ant system (MAS) is proposed for the combinatorial optimization problems. The propos...
A multi-colony ant system (MAS) is proposed for the combinatorial optimization problems. The propose...
Ant Colony Optimization (ACO) is a heuristic algorithm which has been proven a successful technique ...
Ant Colony Optimization is a stochastic search method that mimics the social behaviour of real ant c...
Colony Optimization (ACO) is a metaheuristic that inspired by the behaviour of real ant colonies and...
AbstractMultidimensional knapsack problem (MKP) is an NP-hard problem, the goal of which is to find ...
Dans cette thèse, nous nous intéressons à l'étude des capacités de la méta heuristique d'optimisatio...
Recently, a number of algorithms inspired by the foraging behavior of ant colonies have been applied...
Ant colony optimization (ACO) techniques are known to be efficient for combinatorial optimization. T...