Abstract
This paper discusses a search problem for a Helix target motion in which any information of the target position is not available to the searchers. There exist three searchers start searching for the target from the origin. The purpose of this paper is to formulate a search model and finds the conditions under which the expected value of the first meeting time between one of the searchers and the target is finite. Also, the existence of the optimal search plan that minimizes the expected value of the first meeting time is shown. Furthermore, this optimal search plan is found. The effectiveness of this method is illustrated by using an example with numerical results.
Similar content being viewed by others
References
Balkhi Z. Generalized optimal search paths for continuous univariate random variable. Oper Res, 1987, 23: 67–96
Balkhi Z. The generalized linear search problem, existence of optimal search paths. J Oper Res Soc Japan, 1987, 30: 399–420
Beck A, Beck M. The Revenge of the linear search problem. SIAM J Control Optim, 1992, 30: 112–122
Beltagy M, El-Hadidy M. Parabolic spiral search plan for a randomly located target in the plane. ISRN Math Anal, 2013, 2013: 151598, http://dx.doi.org/10.1155/2013/151598
Benkoski S, Monticino M, Weisinger J. A survey of the search theory literature. Naval Res Logist, 1991, 38: 469–494
Bourgault F, Furukawa T, Durrant-Whyte H. Coordinated decentralized search for a lost target in a bayesian world. Proc IEEE/RSJ Int Conf Intel Robot Sys, 2003, 1: 48–53
Bourgault F, Furukawa T, Durrant-Whyte H. Optimal search for a lost target in a Bayesian world. Field Serv Robot, 2006, 24: 209–222
El-Hadidy M. Optimal spiral search plan for a randomly located target in the plane. Int J Oper Res, in press, 2013
El-Hadidy M, Abou-Gabal H. Optimal searching for a randomly located target in a bounded known region. Int J Comput Sci Math, in press, 2014
El-Rayes A, Mohamed A, Abou-Gabal H. Linear search for a brownian target motion. Acta Math Sci J Ser B, 2003, 23: 321–327
Franck W. An optimal search problem. SIAM Rev, 1965, 7: 503–512
Gan S, Sukkarieh S. Multi-uav target search using explicit decentralized gradient-based negotiation. In: Proceeding IEEE International Conference on Robotics and Automation. New York: IEEE, 2011, 751–756
Hong S, Cho S, Park M, et al. Optimal search-relocation trade-off in markovian-target searching. Comp Oper Res, 2009, 36: 2097–2104
Iida K. Studies on the Optimal Search Plan. New York: Springer-Verlag, 1992
Inter America Tropical Tuna Commission. Annual Report. California: La Jolla, 1975, http://aquaticcommons.org/id/eprint/4996
Koopman B. Search and screening. OEG Report 56. Washington, DC: US Government Printing Office, 1946, http://www.dtic.mil/dtic/tr/fulltext/u2/214252.pdf.
Lanillos P, Besada-Portas E, Pajares G, et al. Minimum time search for lost targets using cross entropy optimization. In: IEEE/RSJ International Conference on Intelligent Robots and Systems. New York: IEEE, 2012, 602–609
Lukka M. On the Optimal Searching Tracks for A Stationary Target. Turku: University of Turku, 1974
Miller A, Moskowitz I. Generalizations of the carlton-kimball distribution for a target’s future location. Comput Math Appl, 1996, 31: 61–68
Mohamed A. The generalized search for one dimensional random walker. Int J Pure Appl Math, 2005, 19: 375–387
Mohamed A, Abou-Gabal H, El-Hadidy M. Coordinated search for a randomly located target on the plane. Eur J Pure Appl Math, 2009, 2: 97–111
Mohamed A, El-Hadidy M. Coordinated search for a conditionally deterministic target motion in the plane. Eur J Math Sci, 2013, 2: 272–295
Mohamed A, El-Hadidy M. Existence of a periodic search strategy for a parabolic spiral target motion in the plane. Afrika Matematika J, 2013, 24: 145–160
Mohamed A, El-Hadidy M. Optimal multiplicative generalized linear search plan for a discrete random walker. J Optim, 2013, 2013: 706176
Mohamed A, Fergany H, El-Hadidy M. On the coordinated search problem on the plane. Istan Univ J Sch Busin Admin, 2012, 41: 80–102
Mohamed A, Kassem M, El-Hadidy M. Multiplicative linear search for a brownian target motion. Appl Math Model, 2011, 35: 4127–4139
Reyniers D. Coordinated two searchers for an object hidden on an interval. J Operational Res Soc, 1995, 46: 1386–1392
Reyniers D. Coordinated search for an object on the line. Eur J Oper Res, 1996, 95: 663–670
Sarmiento A, Murrieta-Cid R, Hutchinson S. An efficient motion strategy to compute expected-time locally optimal continuous search paths in known environments. Adv Robot, 2009, 23: 1533–1560
Song N, Teneketizs D. Discrete search with multiple sensors. Math Meth Oper Res, 2004, 60: 1–13
Stone L. Theory of Optimal Search. New York: Academic Press, 1975
Stone L. What is happened in search theory since the 1975 Lanchester prize? Oper Res, 1989, 37: 501–506
Stone L, Keller C, Kratzke T, et al. Search Analysis for the Location of the AF447 Underwater Wreckage. Metron: Report to BEA, 2011
Zhu Q, Oommen B. Estimation of distributions involving unobservable events: The case of optimal search with unknown target distributions. Pat Anal Appl, 2009, 12: 37–53
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Mohamed, A.A.EH. Optimal searching for a Helix target motion. Sci. China Math. 58, 749–762 (2015). https://doi.org/10.1007/s11425-014-4864-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11425-014-4864-5
Keywords
- Helix motion
- optimal search plan
- first meeting time
- probability measure
- multiobjective nonlinear programming problem