AbstractThe Bin Packing Problem's purpose (BPP) is to find the minimum number of bins needed to pack a given set of objects of known sizes so that they do not exceed the capacity of each bin. This problem is known to be NP- Hard. In this paper, we propose an hybrid genetic algorithm using BFD (Best Fit Decreasing) to deal with infeasible solution due to the bin-used representation. Experimental results showed the effectiveness of our approach for infeasible chromosomes thereby improving the quality of the obtained solution. This will give a good result for the virtual machine placement in Cloud to minimize energy since it looks like a BPP
We present a novel multi-population biased random-key genetic algorithm (BRKGA) for the 2D and 3D bi...
Energy efficiency is a critical issue in the management and operation of data centers, which form th...
Recently, the problem of Virtual Machine Placement (VMP) has received enormous attention from the re...
AbstractThe Bin Packing Problem's purpose (BPP) is to find the minimum number of bins needed to pack...
The genetic algorithm (GA) paradigm has attracted considerable attention as a promising heuristic ap...
The well-known one-dimensional Bin Packing Problem (BPP) of whose variants arise in many real life s...
This paper describes a novel approach making use of genetic algorithms to find optimal solutions for...
The bin-packing problem is a well known NP-Hard optimisation problem, and, over the years, many heu...
For every set of bin packing data there exists a unique ordering which produces the optimal solution...
This paper studies a variant of the three-dimensional bin packing problem (3D-BPP), where the bin he...
A two-dimensional bin-packing problem is considered, where bins have processing times, and rectangle...
A novel evolutionary approach for the bin packing problem (BPP) is presented. A simple steady-state ...
Bin Packing Problem (BPP) is a problem that aims to minimize the number of container usage by maximi...
Cloud computing has become more commercial and familiar. The Cloud data centers havhuge challenges t...
A bin packing (BP) problem is an industrial problem that arises when grouping items into appropriate...
We present a novel multi-population biased random-key genetic algorithm (BRKGA) for the 2D and 3D bi...
Energy efficiency is a critical issue in the management and operation of data centers, which form th...
Recently, the problem of Virtual Machine Placement (VMP) has received enormous attention from the re...
AbstractThe Bin Packing Problem's purpose (BPP) is to find the minimum number of bins needed to pack...
The genetic algorithm (GA) paradigm has attracted considerable attention as a promising heuristic ap...
The well-known one-dimensional Bin Packing Problem (BPP) of whose variants arise in many real life s...
This paper describes a novel approach making use of genetic algorithms to find optimal solutions for...
The bin-packing problem is a well known NP-Hard optimisation problem, and, over the years, many heu...
For every set of bin packing data there exists a unique ordering which produces the optimal solution...
This paper studies a variant of the three-dimensional bin packing problem (3D-BPP), where the bin he...
A two-dimensional bin-packing problem is considered, where bins have processing times, and rectangle...
A novel evolutionary approach for the bin packing problem (BPP) is presented. A simple steady-state ...
Bin Packing Problem (BPP) is a problem that aims to minimize the number of container usage by maximi...
Cloud computing has become more commercial and familiar. The Cloud data centers havhuge challenges t...
A bin packing (BP) problem is an industrial problem that arises when grouping items into appropriate...
We present a novel multi-population biased random-key genetic algorithm (BRKGA) for the 2D and 3D bi...
Energy efficiency is a critical issue in the management and operation of data centers, which form th...
Recently, the problem of Virtual Machine Placement (VMP) has received enormous attention from the re...