Search Results - (( program solving means algorithm ) OR ( java implication based algorithm ))

Modeling a problem solving approach through computational thinking for teaching programming / Zebel Al Tareq by Zebel , Al Tareq

“…This study aims to investigate teaching issues in solving programming problems and find the right approach to teach programming using a suitable problem solving approach method. …”
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Analysis of vehicular traffic flow of main road and alternative road in Kuala Terengganu / Nur Aribah Farzana Arifen & Nur Aiman Salsabila Hashim by Arifen, Nur Aribah Farzana, Hashim, Nur Aiman Salsabila

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Linear programming approach for scheduling sports league problems in Malaysia by Ahmad Rosdi, Muhammad Ifwat

“…We get a greater number of total travelling distances when we select different predefined venues which are at remote places. This means that our formulated model is suitable for solving our problems. …”
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Recent research in cooperative path planning algorithms for multi-agent using mixed- integer linear programming by Che Ku, Nor Azie Hailma, Omar, Rosli, Sabudin Elia Nadira, Sabudin Elia Nadira

“…This paper will review and compare the performances of those existing methods that can find solution without graph search algorithm such as Mixed-Integer Linear Programming (MILP) techniques which exactly solves the problem and then propose four alternative MILP formulations which are computationally less intensive and suited for real-time purposes, but yield a theoretically guaranteed suboptimal solution.…”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Enhanced simulated annealing for solving aggregate production planning by Abu Bakar, Mohd Rizam, Bakheet, Abdul Jabbar Khudhur, Kamil, Farah, Kalaf, Atiya, Abbas, Iraq T., Lee, Lai Soon

“…Simulated annealing () has been an effective means that can address difficulties related to optimisation problems. is now a common discipline for research with several productive applications such as production planning. …”
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A headway and order scheme based mixed integer goal programming model for railway rescheduling / Zuraida Alwadood by Alwadood, Zuraida

“…The headway restriction is formulated based on a new concept of blockoriented headway, whereas the sequence order is formulated based on the priority of conflicting trains. The model is solved by means of preemptive goal programming technique, using MATLAB r2014a, which automatically generates the optimal solution to the problem. …”
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Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems by Bashar AbedAl Mohdi Talal AlDeeb

“…The main motivations for investigating IWD algorithm are: (i) IWD has been successfully employed to solve many optimization problems. …”

Event-driven applications for hard-field tomography software modelling of forward and inverse solutions by Goh, C.L., Abdul Rahim, Ruzairi, M. N., Abdullah, F. R., Hafiz, Tee, Z.C.

“…Besides that, this paper also discusses the optimum image algorithm to solve the inverse problem for tomogram reconstruction. …”
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Petroleum Refinery Planning Under Uncertainty: A Multiobjective Optimization Approach with Economic and Operational Risk Management by Van Fu Shen, Fu Shen

“…We use stochastic programming optimization incorporating the weighted sum method as well as the epsilon constraint method to solve the model formulation of the petroleum refinery planning under uncertainty. …”
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Petroleum Refinery Planning Under Uncertainty: A Multiobjective Optimization Approach with Economic and Operational Risk Management by Van, Fu Shen

“…We use stochastic programming optimization incorporating the weighted sum method as well as the epsilon constraint method to solve the model formulation ofthe petroleum refinery planning under uncertainty. …”
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Associated computational plasticity schemes for nonassociated frictional materials by Krabbenhoft, K., Karim, M.R., Lyamin, A.V., Sloan, S.W.

“…Moreover, the governing equations can be cast in terms of a variational principle, which after discretization is solved by means of a newly developed second-order cone programming algorithm. …”
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Performance analysis of three ANN models using improved fast evolutionary programming for power output prediction in grid-connected photovoltaic system / Puteri Nor Ashikin Megat Y... by Megat Yunus, Puteri Nor Ashikin, Sulaiman, Shahril Irwan, Omar, Ahmad Maliki

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Data Hiding Techniques In Digital Images by Al Thloothi, Salah Ramadan

“…After all these studies, one of the algorithms in the masking technique is developed and implemented using JAVA program to embed message into true color image with a good quality and higher capacity. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Automated calibration of baseline model for energy conservation using multi-objective Evolutionary Programming (EP) / Ahmad Amiruddin Mohammad Aris by Mohammad Aris, Ahmad Amiruddin

“…The proposed co-simulation process is developed by coupling building energy simulation (BES) software, Energy Plus with multi-objective evolutionary programming (MOEP) algorithm which is implemented in Matlab using coupling software, BCVTB. …”
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Problem restructuring in interger programming for reduct searching by Ungku Chulan, Ungku Azmi Iskandar

“…Standard Integer Programming / Decision Related Integer Programming (SIP/DRIP) is a reduct searching system that finds the reducts in an information system. …”
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Text messaging encryption system by Sundara Morthty, Nirmala Devi

“…At present, banking,commerce and passwords can only be communicated with internet connection or as in person verbally or in written;Text Messaging Encryption system needs to overcome this intermediate subjects and deliver instructions or messages instantaneously and securely. The programming language that is used to write the program is Java Language.…”
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Optimum Time-Cost Trade-Off Strategies on Critical Path Method for Project Management by Khalaf, Wakas S.

“…We demonstrate that our algorithms produce consistently good results for all versions of time-cost trade-off problems. …”
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Multi depot dynamic vehicle routing problem with stochastic road capacity for emergency medical supply delivery in humanitarian logistics by Anuar, Wadi Khalid

“…To solve the proposed model, an Approximate Dynamic Programming (ADP) approach is applied focusing on the lookahead approach. …”
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