000			02181cam a2200337 a 4500
003			EG-GiCUC
005			20250223031745.0
008			170718s2016 ua dh f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.18.05.M.Sc.2016.Al.M
100	0		_aAlaa Mokhtar Morsy Ahmed
245	1	2	_aA modified artificial bee colony for solving the container loading problem / _cAlaa Mokhtar Morsy Ahmed ; Supervised Mahmoud M. Elsherbiny , Ramadan A. Zein Eldein
246	1	5	_aطريقة معدلة لمستعمرات النحل الأصطناعية لحل مشكلة تحميل الحاويات
260			_aCairo : _bAlaa Mokhtar Morsy Ahmed , _c2016
300			_a88 Leaves : _bcharts , facsimiles ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Operations Research
520			_aA modified artificial bee colony for solving the container loading problem is very important problem because the cost can be reduced by increasing the space utilization ratio. Artificial bee colony (ABC) after modified search equation using differential Evolution (DE) and also tunes parameters of ABC using Taguch{u2019}s method. We use heuristic approaches called wall building with ABC to solve container loading problem. MABC with its probabilistic decision rule is used to generate random solutions. The utilization ratios calculate with the Wall building heuristic. The nectar information feedback of MABC using neighborhood updating rule helped to improve the solutions. Computational experiments were conducted on benchmark data set and the results obtained from the proposed approach are shown to be comparable with other methods from the literatures
530			_aIssued also as CD
653		4	_aArtificial bee colony
653		4	_aContainer loading problem
653		4	_aPacking problem
700	0		_aMahmoud M. Elsherbiny , _esupervisor
700	0		_aRamadan A. Zein Eldein , _esupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aShimaa _eCataloger
942			_2ddc _cTH
999			_c61606 _d61606