Problems arising in different areas such as numerical methods, simulation or optimization can be efficiently solved by parallel super-computing. However, it is not always possible to buy and maintain parallel super-computers. A geographically distributed network of PC clusters is an interesting low-cost alternative. The possibility of connecting different clusters of PCs through Internet opens a new approach to distributed and massive computing. The MALLBA project tackles the resolution of combinatorial optimization problems using algorithmic skeletons implemented in CPP under this approach. MALLBA offers three families of generic resolution methods: exact, heuristic and hybrid. Moreover, for each resolution method it offers three implement...
SIGLEAvailable from British Library Document Supply Centre- DSC:DXN002626 / BLDSC - British Library ...
Global optimization problems arise in a wide range of real-world problems. They include applications...
The paper presents an analysis of the use of optimization algorithms in parallel solutions and distr...
Abstract—Problems arising in different areas such as numerical methods, simulation or optimization c...
The mallba project tackles the resolution of combinatorial optimization problems using generic algor...
The mallba project tackles the resolution of combinatorial optimization problems using algorithmic s...
The MALLBA project tackles the resolution of combinatorial optimization problems using algorithmic s...
Combinatorial optimization is a way of finding an optimum solution from a finite set of objects. For...
This paper reports about research projects of the University of Paderborn in the field of distribute...
Problems in combinatorial optimization, whether they are solved exactly or approximately by a heuris...
With combinatorial optimization we try to find good solutions for many computationaly difficult prob...
Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes...
The problem of finding a global minimum of a real function on a set S of Rn occurs in many real worl...
Discrete combinatorial optimization problems are ubiquitous in modern civilization. Unfortunately th...
Combinatorial optimization problems (COP) are difficult to solve by nature. One of the reasons is be...
SIGLEAvailable from British Library Document Supply Centre- DSC:DXN002626 / BLDSC - British Library ...
Global optimization problems arise in a wide range of real-world problems. They include applications...
The paper presents an analysis of the use of optimization algorithms in parallel solutions and distr...
Abstract—Problems arising in different areas such as numerical methods, simulation or optimization c...
The mallba project tackles the resolution of combinatorial optimization problems using generic algor...
The mallba project tackles the resolution of combinatorial optimization problems using algorithmic s...
The MALLBA project tackles the resolution of combinatorial optimization problems using algorithmic s...
Combinatorial optimization is a way of finding an optimum solution from a finite set of objects. For...
This paper reports about research projects of the University of Paderborn in the field of distribute...
Problems in combinatorial optimization, whether they are solved exactly or approximately by a heuris...
With combinatorial optimization we try to find good solutions for many computationaly difficult prob...
Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes...
The problem of finding a global minimum of a real function on a set S of Rn occurs in many real worl...
Discrete combinatorial optimization problems are ubiquitous in modern civilization. Unfortunately th...
Combinatorial optimization problems (COP) are difficult to solve by nature. One of the reasons is be...
SIGLEAvailable from British Library Document Supply Centre- DSC:DXN002626 / BLDSC - British Library ...
Global optimization problems arise in a wide range of real-world problems. They include applications...
The paper presents an analysis of the use of optimization algorithms in parallel solutions and distr...