|
|
|
|
LEADER |
01000caa a22002652 4500 |
001 |
JST05059205X |
003 |
DE-627 |
005 |
20240621182328.0 |
007 |
cr uuu---uuuuu |
008 |
150324s2005 xx |||||o 00| ||eng c |
035 |
|
|
|a (DE-627)JST05059205X
|
035 |
|
|
|a (JST)4102105
|
040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
041 |
|
|
|a eng
|
245 |
1 |
4 |
|a The Search for an Alerted Moving Target
|
264 |
|
1 |
|c 2005
|
336 |
|
|
|a Text
|b txt
|2 rdacontent
|
337 |
|
|
|a Computermedien
|b c
|2 rdamedia
|
338 |
|
|
|a Online-Ressource
|b cr
|2 rdacarrier
|
520 |
|
|
|a We investigate a two-sided, multi-stage search problem where a continuous search effort is made by one or more search units to detect a moving target in a continuous target space, under noisy detection conditions. A specific example of this problem is hunting for an enemy submarine by naval forces. So far, this problem has not been solved, because of the difficulty of predicting the target's behaviour. In finding promising routes for the search units, a heuristic has been developed. To obtain these routes, at every decision moment in time an optimal point to go to must be determined. This amounts to finding at every decision moment an optimum of a function that changes over time.
|
540 |
|
|
|a Copyright 2005 Operational Research Society Ltd
|
650 |
|
4 |
|a Defence studies
|
650 |
|
4 |
|a Optimization
|
650 |
|
4 |
|a Heuristics
|
650 |
|
4 |
|a Decision support system
|
650 |
|
4 |
|a Probability
|
650 |
|
4 |
|a Search theory
|
650 |
|
4 |
|a Applied sciences
|x Technology
|x Tools
|x Measuring instruments
|x Sensors
|
650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Distribution functions
|x Probability distributions
|x Mathematical moments
|
650 |
|
4 |
|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Cognitive processes
|x Problem solving
|x Heuristics
|
650 |
|
4 |
|a Philosophy
|x Metaphysics
|x Etiology
|x Determinism
|
650 |
|
4 |
|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Decision theory
|x Operations research
|
650 |
|
4 |
|a Mathematics
|x Pure mathematics
|x Probability theory
|x Probabilities
|x Conditional probabilities
|
650 |
|
4 |
|a Mathematics
|x Mathematical expressions
|x Mathematical functions
|x Weighting functions
|
650 |
|
4 |
|a Mathematics
|x Pure mathematics
|x Geometry
|x Euclidean geometry
|x Plane geometry
|x Vertices
|
650 |
|
4 |
|a Applied sciences
|x Engineering
|x Transportation
|x Vehicles
|x Watercraft
|x Military vessels
|x Frigates
|
650 |
|
4 |
|a Social sciences
|x Communications
|x Semiotics
|x Signals
|x Case-Oriented Papers
|
655 |
|
4 |
|a research-article
|
773 |
0 |
8 |
|i Enthalten in
|t The Journal of the Operational Research Society
|d Taylor & Francis, Ltd.
|g 56(2005), 5, Seite 514-525
|w (DE-627)320465098
|w (DE-600)2007775-0
|x 14769360
|7 nnns
|
773 |
1 |
8 |
|g volume:56
|g year:2005
|g number:5
|g pages:514-525
|
856 |
4 |
0 |
|u https://www.jstor.org/stable/4102105
|3 Volltext
|
912 |
|
|
|a GBV_USEFLAG_A
|
912 |
|
|
|a SYSFLAG_A
|
912 |
|
|
|a GBV_JST
|
912 |
|
|
|a GBV_ILN_11
|
912 |
|
|
|a GBV_ILN_20
|
912 |
|
|
|a GBV_ILN_22
|
912 |
|
|
|a GBV_ILN_23
|
912 |
|
|
|a GBV_ILN_24
|
912 |
|
|
|a GBV_ILN_31
|
912 |
|
|
|a GBV_ILN_39
|
912 |
|
|
|a GBV_ILN_40
|
912 |
|
|
|a GBV_ILN_60
|
912 |
|
|
|a GBV_ILN_62
|
912 |
|
|
|a GBV_ILN_63
|
912 |
|
|
|a GBV_ILN_65
|
912 |
|
|
|a GBV_ILN_69
|
912 |
|
|
|a GBV_ILN_70
|
912 |
|
|
|a GBV_ILN_90
|
912 |
|
|
|a GBV_ILN_100
|
912 |
|
|
|a GBV_ILN_110
|
912 |
|
|
|a GBV_ILN_187
|
912 |
|
|
|a GBV_ILN_224
|
912 |
|
|
|a GBV_ILN_285
|
912 |
|
|
|a GBV_ILN_370
|
912 |
|
|
|a GBV_ILN_374
|
912 |
|
|
|a GBV_ILN_647
|
912 |
|
|
|a GBV_ILN_702
|
912 |
|
|
|a GBV_ILN_2001
|
912 |
|
|
|a GBV_ILN_2003
|
912 |
|
|
|a GBV_ILN_2005
|
912 |
|
|
|a GBV_ILN_2006
|
912 |
|
|
|a GBV_ILN_2007
|
912 |
|
|
|a GBV_ILN_2008
|
912 |
|
|
|a GBV_ILN_2009
|
912 |
|
|
|a GBV_ILN_2010
|
912 |
|
|
|a GBV_ILN_2011
|
912 |
|
|
|a GBV_ILN_2014
|
912 |
|
|
|a GBV_ILN_2015
|
912 |
|
|
|a GBV_ILN_2018
|
912 |
|
|
|a GBV_ILN_2020
|
912 |
|
|
|a GBV_ILN_2021
|
912 |
|
|
|a GBV_ILN_2026
|
912 |
|
|
|a GBV_ILN_2027
|
912 |
|
|
|a GBV_ILN_2034
|
912 |
|
|
|a GBV_ILN_2044
|
912 |
|
|
|a GBV_ILN_2050
|
912 |
|
|
|a GBV_ILN_2056
|
912 |
|
|
|a GBV_ILN_2057
|
912 |
|
|
|a GBV_ILN_2061
|
912 |
|
|
|a GBV_ILN_2088
|
912 |
|
|
|a GBV_ILN_2093
|
912 |
|
|
|a GBV_ILN_2107
|
912 |
|
|
|a GBV_ILN_2111
|
912 |
|
|
|a GBV_ILN_2129
|
912 |
|
|
|a GBV_ILN_2190
|
912 |
|
|
|a GBV_ILN_2336
|
912 |
|
|
|a GBV_ILN_2507
|
912 |
|
|
|a GBV_ILN_2548
|
912 |
|
|
|a GBV_ILN_2935
|
912 |
|
|
|a GBV_ILN_2940
|
912 |
|
|
|a GBV_ILN_2949
|
912 |
|
|
|a GBV_ILN_2950
|
912 |
|
|
|a GBV_ILN_4012
|
912 |
|
|
|a GBV_ILN_4035
|
912 |
|
|
|a GBV_ILN_4037
|
912 |
|
|
|a GBV_ILN_4046
|
912 |
|
|
|a GBV_ILN_4112
|
912 |
|
|
|a GBV_ILN_4126
|
912 |
|
|
|a GBV_ILN_4242
|
912 |
|
|
|a GBV_ILN_4251
|
912 |
|
|
|a GBV_ILN_4305
|
912 |
|
|
|a GBV_ILN_4306
|
912 |
|
|
|a GBV_ILN_4307
|
912 |
|
|
|a GBV_ILN_4313
|
912 |
|
|
|a GBV_ILN_4322
|
912 |
|
|
|a GBV_ILN_4323
|
912 |
|
|
|a GBV_ILN_4324
|
912 |
|
|
|a GBV_ILN_4325
|
912 |
|
|
|a GBV_ILN_4335
|
912 |
|
|
|a GBV_ILN_4346
|
912 |
|
|
|a GBV_ILN_4393
|
912 |
|
|
|a GBV_ILN_4700
|
951 |
|
|
|a AR
|
952 |
|
|
|d 56
|j 2005
|e 5
|h 514-525
|