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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(More)
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(More)
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(More)
In this paper, we introduce a new global optimization method and study its global convergence property through theoretical and experimental approaches. The proposed method is named as multivariant optimization algorithm (MOA) because the intelligent searchers, which are called as atoms, not only are divided into multiple subgroups but also are variant in(More)
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