Add to ORKGThis paper discussed two computationally intensive optimisation algorithms for 0-1 integer programs, namely simulated annealing and branch and bound. It then describes an application specific computing platform designed to accelerate their performance. The paper justifies the general approach and gives details of the algorithms. 1
The topic for this dissertation is the optimisation of computer programs, as they are being compiled...
Metaheuristic is a computational method that brings a problem to the best possible state by iterativ...
Simulated annealing is known to be an efficient method for combinatorial optimization problems. Its ...
This paper discussed two computationally intensive optimisation algorithms for 0-1 integer programs,...
This paper explores the use of simulated annealing (SA) for solving arbitrary combinatorial optimisa...
Simulated annealing has proven to be a good technique for solving hard combinatorial optimization p...
The nominal peak speeds of both serial and parallel computers is raising rapidly. At the same time h...
Abstract. I consider the problem of the domain-specific optimization of programs. I review different...
AbstractSequential versions of combinatorial optimisation algorithms which are based on random searc...
Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes...
The paper presents an analysis of the use of optimization algorithms in parallel solutions and distr...
The sequential Branch and Bound Algorithm is the most established method for solving Mixed Integer a...
0–1 problems are often difficult to solve. Although special purpose algorithms (exact as well as heu...
The real world applications of optimisation algorithms often are only interested in the running time...
This Memorandum is a draft version of a review paper which will be submitted to the Bulletin of the ...
The topic for this dissertation is the optimisation of computer programs, as they are being compiled...
Metaheuristic is a computational method that brings a problem to the best possible state by iterativ...
Simulated annealing is known to be an efficient method for combinatorial optimization problems. Its ...
This paper discussed two computationally intensive optimisation algorithms for 0-1 integer programs,...
This paper explores the use of simulated annealing (SA) for solving arbitrary combinatorial optimisa...
Simulated annealing has proven to be a good technique for solving hard combinatorial optimization p...
The nominal peak speeds of both serial and parallel computers is raising rapidly. At the same time h...
Abstract. I consider the problem of the domain-specific optimization of programs. I review different...
AbstractSequential versions of combinatorial optimisation algorithms which are based on random searc...
Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes...
The paper presents an analysis of the use of optimization algorithms in parallel solutions and distr...
The sequential Branch and Bound Algorithm is the most established method for solving Mixed Integer a...
0–1 problems are often difficult to solve. Although special purpose algorithms (exact as well as heu...
The real world applications of optimisation algorithms often are only interested in the running time...
This Memorandum is a draft version of a review paper which will be submitted to the Bulletin of the ...
The topic for this dissertation is the optimisation of computer programs, as they are being compiled...
Metaheuristic is a computational method that brings a problem to the best possible state by iterativ...
Simulated annealing is known to be an efficient method for combinatorial optimization problems. Its ...