THE USE OF ARTIFICIAL INTELLIGENCE IN AUTOMATED IN-HOUSE LOGISTICS CENTRES
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Published:
2018-02-28
Issue Vol. 8 No. 1 (2018)
-
DETERMINATION OF THE EFFICIENCY FACTORS OF THE ABSORPTION AND SCATTERING OF NICKEL NANOPARTICLES
4-7
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CONTROL MODEL OF DATA STREAM TRANSMITTED OVER A NETWORK BASED ON PROXYING TECHNOLOGY
8-11
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INVESTIGATION OF THE MEMRISTOR NONLINEAR PROPERTIES
12-15
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IMITATION MODELING OF THE ROUTING PROCESS BASED ON FUZZY LOGIC
16-19
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INVARIANT PIEZORESONANCE DEVICES BASED ON ADAPTIVE MULTIFREQUENCY SYSTEMS WITH A PREDICTIVE STANDARD
20-23
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DEVELOPMENT AND RESEARCH OF CRYPTOGRAPHIC HASH FUNCTIONS BASED ON TWO-DIMENSIONAL CELLULAR AUTOMATA
24-27
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GENERALIZED APPROACH TO HURST EXPONENT ESTIMATING BY TIME SERIES
28-31
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SPECTRAL SENSITIVITY OF HUMAN VISION TO THE LIGHT PULSES
32-35
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ORGANIZATION OF IMPLEMENTATION OF UBIQUITOUS SENSOR NETWORKS
36-39
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PECULIARITIES OF THE RADIO SIGNALS AND HINDRANCES IN THE NAVIGATION SYSTEM OF THE REMOTE-PILOTED VEHICLES
40-43
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DISTORTIONLESS SIGNALS TRANSFER THROUGH A WIRE MEDIA METASTRUCTURE
44-47
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THE USE OF ARTIFICIAL INTELLIGENCE IN AUTOMATED IN-HOUSE LOGISTICS CENTRES
48-51
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USING MICROSERVICES ARCHITECTURE AS ANALYTICAL SYSTEM FOR ELECTRICAL IMPEDANCE TOMOGRAPHY IMAGING
52-55
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OPTIMIZATION OF DATA PROCESSING FOR REQUESTING OBSERVATION SYSTEMS
56-59
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METHODS OF PRODUCING APODIZED FIBER BRAGG GRATINGS AND EXAMPLES OF THEIR APPLICATIONS
60-63
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DEAD TIME MEASUREMENT BY TWO-SOURCE METHOD – OPTIMIZATION OF MEASUREMENT TIME DIVISION
64-66
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ANALYSIS OF THE BENDING STRAIN INFLUENCE ON THE CURRENT- -VOLTAGE CHARACTERISTICS OF HTC SUPERCONDUCTING TAPES
67-70
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DETERMINATION OF R = F(T) CHARACTERISTICS OF THE FIRST AND SECOND GENERATION SUPERCONDUCTING TAPES
71-74
Main Article Content
Authors
Abstract
The paper deals with the problem of works transport organization in logistic center with the use of artificial intelligence algorithms. The presented approach is based on non-changeable path during travel along a given loop. The ordered set of containers requesting transport service was determined by fuzzy logic, while the sequence of containers in a loop was optimized by genetic algorithms. A solution for semi-autonomous transport vehicles wherein the control system informs the driver about optimal route was presented. The obtained solution was verified by a computer simulation.
Keywords:
logistics, fuzzy logic, intelligent transportation systems, genetic algorithms
Article Details
THE USE OF ARTIFICIAL INTELLIGENCE IN AUTOMATED IN-HOUSE LOGISTICS CENTRES. (2018). Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 8(1), 48-51. https://doi.org/10.5604/01.3001.0010.8649
