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A novel heuristic algorithm, multivariant optimization algorithm (MOA), in field geographic information system (GIS)-based emergency path finding is proposed in this paper The MOA algorithm featured with alternating global-local search iterations by multivariant search groups, global and local exploitation groups, is employed to find field emergency path by considering the time length weighted model...
A novel planning algorithm based on firefly algorithm (FA) and Bezier curve is presented to locate the shortest feasible (collision-free) path, in this paper. FA is employed to locate the optimal control points of Bezier curve describing the shortest feasible path. Experiments based on benchmark maps from literatures are carried out to compare with other popular heuristic algorithm. Results show that...
Multivariant Optimization Algorithm (MOA) is proposed to effectively solve complex multimodal optimization problems through tracking the history information by multiple variant search groups based on a structure. The proposed method has the ability to locate optimum through global-local search iterations which are carried out by a global exploration group and local exploitation groups which are not...
Symbolic execution is an effective path oriented and constraint based program analysis technique. Recently, there is a significant development in the research and application of symbolic execution. However, symbolic execution still suffers from the scalability problem in practice, especially when applied to large-scale or very complex programs. In this paper, we propose a new fashion of symbolic execution,...
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