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It is shown that the epipolar geometry-based searching strategy can enhance the searching efficiency.
Also, this hybridization can accelerate the convergence and also preserve its searching efficiency and effectiveness.
The bond characterization matrix technique is utilized to enhance searching efficiency and remove similar structures.
However, further statistical confirmation of improved information searching efficiency is needed.
Parallelization occurs at each iteration step of the memetic algorithm without affecting its searching efficiency.
The proposed design methodology is suitable for parallel computation resulting in considerable improvement in searching efficiency.
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Our own numerical simulations (Fig 7a) for the searching efficiencies of fruit flies show that saccade angle should be constant at −90 and 90 degrees.
Therefore, search efficiency of the proposed algorithm is highly improved.
Searching efficiencies were determined from the simulated trajectories of 105 searchers that began their searches in the immediate vicinity of a target.
It also meant searching for efficiency in the face of escalating costs.
The effects on search efficiency were less consistent, except that search was more efficient overall whenever a target moved.
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