Application of an improved artificial bee colony algorithm to inverse problem of aerosol optical constants from spectral measurement data

Optik ◽  
2017 ◽  
Vol 145 ◽  
pp. 316-329 ◽  
Author(s):  
Zhenzong He ◽  
Junkui Mao ◽  
Xingsi Han
Keyword(s):  
Inverse Problem ◽  
Artificial Bee Colony Algorithm ◽  
Optical Constants ◽  
Artificial Bee Colony ◽  
Measurement Data ◽  
Spectral Measurement ◽  
Bee Colony

scholarly journals Using bees algorithms for solution of radar pavement monitoring inverse problem

2014 ◽  
Vol 15 (1) ◽  
pp. 53-66
Author(s):  
Alexander Krainyukov ◽  
Valery Kutev ◽  
Elena Andreeva
Keyword(s):  
Inverse Problem ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Physical Characteristics ◽  
Frequency Range ◽  
Abc Algorithm ◽  
Bee Colony ◽  
Pavement Monitoring ◽  
Tree Models ◽  
The Impact

Abstract This work has focused on using of Bee Algorithm and Artificial Bee Colony algorithm for solution the inverse problem of subsurface radar probing in frequency domain. Bees Algorithms are used to minimize the aim function. Tree models of road constructions and their characteristics have been used for solution of the subsurface radar probing inverse problem. There has been investigated the convergence of BA and ABC algorithms at minimisation of the aim function of the inverse problem of radar subsurface probing of roadway structures. There has been investigated the impact of free arguments of BA and ABC algorithm, width of the frequency range and width of the searching interval on the error of reconstruction of electro-physical characteristics of layers and duration of algorithm operating. There has been investigated the impact of electro-physical characteristics of roadway structure layers and width of the frequency range on aim function of radar pavement monitoring inverse problem.

scholarly journals Artificial bee colony algorithm in the solution of selected inverse problem of the binary alloy solidification

2016 ◽  
Vol 20 (5) ◽  
pp. 1609-1620 ◽  
Author(s):  
Edyta Hetmaniok
Keyword(s):  
Heat Transfer ◽  
Finite Element Method ◽  
Inverse Problem ◽  
Binary Alloy ◽  
Direct Problem ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
The Finite Element Method ◽  
Bee Colony ◽  
The Heat Transfer Coefficient

The paper presents a procedure for reconstructing, on the basis of known measurements of temperature, the heat transfer coefficient and the distribution of temperature in given region of solidifying binary alloy in the casting mould. Solution of the considered inverse problem is found by applying the finite element method for solving the corresponding direct problem and the Artificial Bee Colony algorithm for minimizing the functional representing the error of approximate solution.

Artificial Bee Colony Algorithm Used for Solving some Inverse Problem in Solidification of the Binary Alloy

2014 ◽  
Vol 622-623 ◽  
pp. 756-763
Author(s):  
Edyta Hetmaniok
Keyword(s):  
Heat Flux ◽  
Inverse Problem ◽  
Heat Conduction Equation ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Thermal Capacity ◽  
Alloy Component ◽  
Abc Algorithm ◽  
Bee Colony ◽  
Crucial Part

Aim of the paper is to solve the inverse problem in solidification of binary alloyby applying the Artificial Bee Colony algorithm. Considered inverse problem consists in recon-struction of the heat flux and the distribution of temperature in case when the temperaturemeasurements in selected points of the alloy are known and is mathematically modeled be meansof the heat conduction equation with the substitute thermal capacity and with the liquidus andsolidus temperatures varying in dependence on the concentration of the alloy component. Fordescribing the concentration the lever arm model is applied and for minimizing a functional,constituting the crucial part of the procedure, the ABC algorithm is used.

Self-Adaptive and Adaptive Parameter Control in Improved Artificial Bee Colony Algorithm

Informatica ◽  
2017 ◽  
Vol 28 (3) ◽  
pp. 415-438 ◽  
Author(s):  
Bekir Afşar ◽  
Doğan Aydin ◽  
Aybars Uğur ◽  
Serdar Korukoğlu
Keyword(s):  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Parameter Control ◽  
Adaptive Parameter ◽  
Bee Colony ◽  
Adaptive Parameter Control ◽  
Self Adaptive

Path Planning of Mobile Robot Using Improved Artificial Bee Colony Algorithm

2020 ◽  
Vol 38 (9A) ◽  
pp. 1384-1395
Author(s):  
Rakaa T. Kamil ◽  
Mohamed J. Mohamed ◽  
Bashra K. Oleiwi
Keyword(s):  
Mobile Robot ◽  
Comparative Research ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Dynamic Control ◽  
Computational Time ◽  
Bee Colony ◽  
Shortest Distance ◽  
Minimum Number ◽  
Cubic Polynomial

A modified version of the artificial Bee Colony Algorithm (ABC) was suggested namely Adaptive Dimension Limit- Artificial Bee Colony Algorithm (ADL-ABC). To determine the optimum global path for mobile robot that satisfies the chosen criteria for shortest distance and collision–free with circular shaped static obstacles on robot environment. The cubic polynomial connects the start point to the end point through three via points used, so the generated paths are smooth and achievable by the robot. Two case studies (or scenarios) are presented in this task and comparative research (or study) is adopted between two algorithm’s results in order to evaluate the performance of the suggested algorithm. The results of the simulation showed that modified parameter (dynamic control limit) is avoiding static number of limit which excludes unnecessary Iteration, so it can find solution with minimum number of iterations and less computational time. From tables of result if there is an equal distance along the path such as in case A (14.490, 14.459) unit, there will be a reduction in time approximately to halve at percentage 5%.

Artificial bee colony algorithm with modified search strategy

2013 ◽  
Vol 32 (12) ◽  
pp. 3326-3330
Author(s):  
Yin-xue ZHANG ◽  
Xue-min TIAN ◽  
Yu-ping CAO
Keyword(s):  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Search Strategy ◽  
Bee Colony
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