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In order to identify the rapidly-fading, optical transient counterparts ofgravitational wave (GW) sources, an efficient follow-up strategy is required.Since most ground-based optical observatories aimed at following-up GW sourceshave a telescope with a small field-of-view (FOV) as compared to the GW skyerror region, we focus on a search strategy that involves dividing the GW patchinto tiles of the same area as the telescope FOV to strategically image theentire patch. We present an improvement over the optimal telescope-schedulingalgorithm outlined in Rana et al. (2016), by combining the tiling andgalaxy-targeted search strategies, and factoring the effects of the sourceairmass and telescope slew, along with setting constraints, into the schedulingalgorithm in order to increase the chances of identifying the GW counterpart.We propose two separate algorithms: the airmass-weighted algorithm, a specificsolution to the Hungarian algorithm that maximizes probability acquired, whileminimizing the image airmass, and the slew-optimization algorithm thatminimizes the overall slew angle covered between images for the givenprobability acquired by the optimal telescope-scheduling algorithm in Rana etal. (2016). Using the observatory site of the GROWTH-India telescope as anexample, we generate 100s of skymaps to test the performance of our algorithms.Our results indicate that slew-optimization can reduce the cumulative slewangle in the observing schedule by 100s of degrees, saving several of minutesof observing time without the loss of tiles and probability. Further, wedemonstrate that as compared to the greedy algorithm, the airmass-weightedalgorithm can acquire up to 20 % more probability and 30 sq. deg. more in arealcoverage for skymaps of all sizes and configurations.

Optimal Optical Search Strategy for Finding Transient in Large Sky Error Region Under Realistic Constraints