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Figure 1 Possible adaptive search patterns designed.
To mitigate this, adaptive search operator schemes have been introduced.
To avoid trapped in undesirable local minimum, some adaptive search algorithms have been devised intending to achieve the global optimum or sub-optimum with adaptive search patterns.
Adaptive search patterns are allocated according to the BITCEM moving direction and the BITCEM motion type.
A flowchart of the proposed adaptive search range motion estimation algorithm is given in Figure 3.
Kim et al. [6] proposed an adaptive search range control algorithm for motion and disparity estimation.
Figure 3 Flowchart of the proposed adaptive search range motion estimation algorithm.
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The future of MOEAs in water resources needs to emphasize self-adaptive search, new technologies for visualizing tradeoffs, and the next generation of computing technologies.
We design a trajectory search heuristic called GILS-VND that combines Iterated Local Search ILSS), Greedy Randomized Adaptive Search Procedure (GRASP) and Variable Neighborhood Descent (VND) procedures.
The Greedy Randomized Adaptive Search Procedure (GRASP) is a well-known metaheuristic for combinatorial optimization.
The methodology considered for the analysis was GRASP (Greedy Randomized Adaptive Search Procedures).
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