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
In this paper we present an evaluation of selected parallel strategies for Simulated Annealing and S...
Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of ...
Simulated evolution (SimE) is an evolutionary metaheuristic that has produced results comparable to ...
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...
Abstract Simulated Evolution (SimE) is an evolutionary metaheuristic that has pro-duced results comp...
Simulated Evolution (SimE) is an evolutionary metaheuristic that has produced results comparable to ...
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...
In this paper we present an evaluation of selected parallel strategies for Simulated Annealing and S...
Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of ...
Simulated evolution (SimE) is an evolutionary metaheuristic that has produced results comparable to ...
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...
Abstract Simulated Evolution (SimE) is an evolutionary metaheuristic that has pro-duced results comp...
Simulated Evolution (SimE) is an evolutionary metaheuristic that has produced results comparable to ...
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...
In this paper we present an evaluation of selected parallel strategies for Simulated Annealing and S...
Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of ...
Simulated evolution (SimE) is an evolutionary metaheuristic that has produced results comparable to ...