We treat the two-dimensional bin packing problem which involves packing a given set of rectangles into a minimum number of larger identical rectangles called bins. This combinatorial problem is NP-hard. We propose a pretreatment for the oriented version of the problem that allows the valorization of the lost areas in the bins and the reduction of the size problem. A heuristic method based on the strategy first-fit adapted to this problem is presented. We present an approach of resolution by bee colony optimization. Computational results express a comparison of the number of bins used with and without pretreatment
Several combinatorial optimization problems can be formulated as large set-covering problems. In thi...
We survey recent advances obtained for the two-dimensional bin packing problem. With regard to heuri...
This thesis gives a survey of the bin packing problems. Bin packing problems address the problem of ...
We treat the two-dimensional bin packing problem which involves packing a given set of rectangles in...
The problem of bin-packing in two dimensions (2BP) consists in placing a given set of rectangular it...
This paper presents Ant colony optimization metaheuristic solution for Bin packing problem (BPP). In...
The two-dimensional bin packing problem is a generalization of the classical bin packing problem and...
AbstractThe two-dimensional bin packing problem is a generalization of the classical bin packing pro...
We treat the bin-packing problem which involves packing a given set of rectangles (items) into a min...
This paper studies a real-life multi-objective two-dimensional single-bin-size bin-packing problem a...
Bin packing is a well studied problem which has many applications. In this paper, a new design of an...
This article addresses several variants of the two-dimensional bin packing problem. In the most basi...
The bin packing problem (BPP) is a well-known NP-hard combinatorial optimization problem which occur...
The Firefly algorithm is one of the several nature inspired algorithms that have been developed in t...
Swarm intelligence meta-heuristics are widely used in solving continuous optimisation problems. Howe...
Several combinatorial optimization problems can be formulated as large set-covering problems. In thi...
We survey recent advances obtained for the two-dimensional bin packing problem. With regard to heuri...
This thesis gives a survey of the bin packing problems. Bin packing problems address the problem of ...
We treat the two-dimensional bin packing problem which involves packing a given set of rectangles in...
The problem of bin-packing in two dimensions (2BP) consists in placing a given set of rectangular it...
This paper presents Ant colony optimization metaheuristic solution for Bin packing problem (BPP). In...
The two-dimensional bin packing problem is a generalization of the classical bin packing problem and...
AbstractThe two-dimensional bin packing problem is a generalization of the classical bin packing pro...
We treat the bin-packing problem which involves packing a given set of rectangles (items) into a min...
This paper studies a real-life multi-objective two-dimensional single-bin-size bin-packing problem a...
Bin packing is a well studied problem which has many applications. In this paper, a new design of an...
This article addresses several variants of the two-dimensional bin packing problem. In the most basi...
The bin packing problem (BPP) is a well-known NP-hard combinatorial optimization problem which occur...
The Firefly algorithm is one of the several nature inspired algorithms that have been developed in t...
Swarm intelligence meta-heuristics are widely used in solving continuous optimisation problems. Howe...
Several combinatorial optimization problems can be formulated as large set-covering problems. In thi...
We survey recent advances obtained for the two-dimensional bin packing problem. With regard to heuri...
This thesis gives a survey of the bin packing problems. Bin packing problems address the problem of ...