Abstract: In this paper, a novel heuristic for abstraction-guided state justification is proposed based on ant colony optimization (ACO).
A probabilistic state transition model is developed to help formulate the state justification problem as a searching scheme of artificial ants and it is ...
Abstract—In this paper, a novel heuristic for abstraction- guided state justification is proposed based on ant colony optimization (ACO).
In this paper, a novel heuristic for abstraction-guided state justification is proposed based on ant colony optimization (ACO). A probabilistic state ...
Min Li, Michael S. Hsiao: An ant colony optimization technique for abstraction-guided state justification. ITC 2009: 1-10.
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SPF (adaptive, link-state) is the prototype of link-state algorithms with a dynamic metric for link cost evaluations. A similar algorithm was implemented in the ...
In this paper, we propose a novel parallel state justification tool, GACO, utilizing Ant Colony Optimization (ACO) on Graphical Processing Units (GPU). With the ...
Ant Colony Optimization (ACO) is a probabilistic and approximation metaheuristic algorithm to solve complex combinatorial optimization problems.
Missing: justification. | Show results with:justification.
This work introduces a new guidance strategy to justify hard-to-reach target states in sequential circuits, which also applies to reaching corner-case ...
Nov 15, 2007 · In this paper, we introduce an Ant Colony Optimization (ACO) algorithm to estimate phylogenies under the minimum evolution principle.