AbstractSequential versions of combinatorial optimisation algorithms which are based on random search heuristics are generally too slow to be of value to the interactive user of a CAD workstation. This paper describes a concurrent version of the simulated annealing algorithm, and also a variant of this algorithm called CCO. The results are given of comparative trials of these algorithms. A significant gain in speed can be achieved by using concurrent algorithms to drive an optimising accelerator attached to the workstation.Also discussed is a divide and conquer procedure for decomposing complex combinatorial problems into minimally interdependent subproblems of managable size. This decomposition procedure makes use of the CCO algorithm
A parallel implementation of the rejectionless annealing algorithm of Greene and Supowit is presente...
In the course of less than a decade, Graphics Processing Units (GPUs) have evolved from narrowly sco...
Simulated annealing is a combinatorial optimization method based on randomization techniques. The me...
Problems in combinatorial optimization, whether they are solved exactly or approximately by a heuris...
This Memorandum is a draft version of a review paper which will be submitted to the Bulletin of the ...
Simulated annealing has proven to be a good technique for solving hard combinatorial optimization p...
This paper reports about research projects of the University of Paderborn in the field of distribute...
This paper discusses an approach for solving combinatorial problems by combining software and dynami...
This paper discussed two computationally intensive optimisation algorithms for 0-1 integer programs,...
AbstractThis is a tutorial introduction to the literature on parallel computers and algorithms that ...
In recent years, there have been many studies in which tailored heuristics and meta-heuristics have ...
This paper addresses the development of general purpose meta-heuristic based combinatorial optimisat...
This paper addresses the development of general purpose meta-heuristic based combinatorial optimisat...
Three optimization methods derived from natural sciences are considered for allocating data to multi...
This paper explores the use of simulated annealing (SA) for solving arbitrary combinatorial optimisa...
A parallel implementation of the rejectionless annealing algorithm of Greene and Supowit is presente...
In the course of less than a decade, Graphics Processing Units (GPUs) have evolved from narrowly sco...
Simulated annealing is a combinatorial optimization method based on randomization techniques. The me...
Problems in combinatorial optimization, whether they are solved exactly or approximately by a heuris...
This Memorandum is a draft version of a review paper which will be submitted to the Bulletin of the ...
Simulated annealing has proven to be a good technique for solving hard combinatorial optimization p...
This paper reports about research projects of the University of Paderborn in the field of distribute...
This paper discusses an approach for solving combinatorial problems by combining software and dynami...
This paper discussed two computationally intensive optimisation algorithms for 0-1 integer programs,...
AbstractThis is a tutorial introduction to the literature on parallel computers and algorithms that ...
In recent years, there have been many studies in which tailored heuristics and meta-heuristics have ...
This paper addresses the development of general purpose meta-heuristic based combinatorial optimisat...
This paper addresses the development of general purpose meta-heuristic based combinatorial optimisat...
Three optimization methods derived from natural sciences are considered for allocating data to multi...
This paper explores the use of simulated annealing (SA) for solving arbitrary combinatorial optimisa...
A parallel implementation of the rejectionless annealing algorithm of Greene and Supowit is presente...
In the course of less than a decade, Graphics Processing Units (GPUs) have evolved from narrowly sco...
Simulated annealing is a combinatorial optimization method based on randomization techniques. The me...