Add to ORKGStochastic evolution (StocE) is an evolutionary metaheuristic that has shown to achieve better solution qualities and runtimes when compared to some other well established stochastic metaheuristics. However, unlike these metaheuristics, parallelization of StocE has not been explored before. In this paper, we discuss a comprehensive set of parallel strategies for StocE using a constrained multiobjective VLSI cell placement as an optimization problem. The effectiveness of the proposed strategy is demonstrated by comparing its results with results of parallel SA algorithms on the same optimization problem
Simulated evolution (SimE) is an evolutionary metaheuristic that has produced results comparable to ...
Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of ...
In this paper we present an evaluation of selected parallel strategies for Simulated Annealing and S...
Stochastic evolution (StocE) is an evolutionary metaheuristic that has shown to achieve better solut...
This paper discusses the parallelization of Stochastic Evolution (StocE) metaheuristic, for a distri...
The paper discusses the parallelization of Stochastic Evolution metaheuristic, identifying effective...
Simulated Evolution (SimE) is an evolutionary metaheuristic that has produced results comparable to ...
Abstract Simulated Evolution (SimE) is an evolutionary metaheuristic that has pro-duced results comp...
The paper discusses the parallelization of Stochastic Evolution metaheuristic, identifying effective...
The complexity involved in VLSI design and its sub-problems has always made them ideal application a...
VLSI physical design and the problems related to it such as placement, channel routing, etc, carry i...
Simulated evolution (SimE) is an evolutionary metaheuristic that has produced results comparable to ...
Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of ...
In this paper we present an evaluation of selected parallel strategies for Simulated Annealing and S...
Stochastic evolution (StocE) is an evolutionary metaheuristic that has shown to achieve better solut...
This paper discusses the parallelization of Stochastic Evolution (StocE) metaheuristic, for a distri...
The paper discusses the parallelization of Stochastic Evolution metaheuristic, identifying effective...
Simulated Evolution (SimE) is an evolutionary metaheuristic that has produced results comparable to ...
Abstract Simulated Evolution (SimE) is an evolutionary metaheuristic that has pro-duced results comp...
The paper discusses the parallelization of Stochastic Evolution metaheuristic, identifying effective...
The complexity involved in VLSI design and its sub-problems has always made them ideal application a...
VLSI physical design and the problems related to it such as placement, channel routing, etc, carry i...
Simulated evolution (SimE) is an evolutionary metaheuristic that has produced results comparable to ...
Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of ...
In this paper we present an evaluation of selected parallel strategies for Simulated Annealing and S...