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Electricity demand forecasting in Turkey and Indonesia using linear and nonlinear models based on real-value genetic algorithm and extended Nelder-Mead local search by Wahab, Musa

“…Hybrid genetic algorithm (GA) and Nelder-Mead local search mode 1 has been used to minimize demand estimation errors. …”
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Hybrid optimization approach to estimate random demand by Wahab, Musa, Ku-Mahamud, Ku Ruhana, Yasin, Azman

“…The main objective of this study is to develop a demand forecasting model that should reflect the characteristics of random demand patterns.To accomplish this goal, a hybrid algorithm combining a genetic algorithm and a local search algorithm method was developed to overcome premature convergence in local optima problems.The performance of the hybrid algorithm was compared with a single algorithm model in estimating parameter values that minimize objective function which was used to measure the goodness-of-fit between the observed data and simulated results.However, two problems had to be overcome in the forecasting random demand model. …”
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Google autocomplete search algorithms and the Arabs' perspectives on gender: a case study of Google Egypt by Al-Abbas, Linda S., Haider, Ahmad S., Hussein, Riyad F.

“…This study examines how Google autocomplete searches can reflect the Arabs' perspectives on gender. …”
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Manta ray foraging optimization with quasi-reflected opposition strategy for global optimization by Abdul Razak, Ahmad Azwan, Nasir, Ahmad Nor Kasruddin, Abd Ghani, N. M., Mat Jusof, Mohd Falfazli

“…This paper proposes an extension of Manta Ray Foraging Optimization (MRFO) using Oppositional-based Learning (OBL) technique called Quasi Reflected Opposition (QRO). MRFO is a new algorithm that developed based on the nature of a species in cartilaginous fish called Manta Ray. …”
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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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The development of hashing indexing technique in case retrieval by Mohsin M.F.M., Norwawi N.M., Manaf M.B., Wahab M.H.A.

Biodiesel synthesis from Ceiba pentandra oil by microwave irradiation-assisted transesterification: ELM modeling and optimization by Silitonga A.S., Shamsuddin A.H., Mahlia T.M.I., Milano J., Kusumo F., Siswantoro J., Dharma S., Sebayang A.H., Masjuki H.H., Ong H.C.

The development of hashing indexing technique in case retrieval by Mohamad Mohsin, Mohamad Farhan, Md Norwawi, Norita, Manaf, Maznie, Abd Wahab, Mohd Helmy

“…The concept of hashing indexing in case retrieving process, the model development, and the preliminary algorithm testing result will be discussed in this paper.…”
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Estimation of photovoltaic models using an enhanced Henry gas solubility optimization algorithm with first-order adaptive damping Berndt-Hall-Hall-Hausman method by Ramachandran, Murugan, Sundaram, Arunachalam, Ridha, Hussein Mohammed, Mirjalili, Seyedali

“…Then in terms of methodology, the Enhanced Henry Gas Solubility Optimization (EHGSO) algorithm is combined with the Sine-Cosine mutualism phase of Symbiotic Organisms Search (SOS) for efficiently estimating the unknown parameters of PV models. …”
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A hybrid constraint-based programming approach to design a sports tournament scheduling by Soong, Chai Juan, Ramli, Razamin, Ibrahim, Haslinda

“…Thus, we present an innovative hybrid of a constraint-based algorithm and a neighbourhood search, which is an exploration into alternative and improved methodology in the problem of sports tournament scheduling with special multiple constraints. …”
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A cyber-enabled mission-critical system for post-flood response: Exploiting TV white space as network backhaul links by Rahman, Md. Arafatur, Asyhari, A. Taufiq, Azad, Saiful, Hasan, Md. Munirul, Munaiseche, Cindy P. C., Krisnanda, Made

“…The simulation results demonstrate the capability of CEMCS to provide ProSe in the post-flood scenarios as reflected by reliable network performance (e.g., packet delivery ratio nearing 80%-90%) and the optimality of efficient search algorithm.…”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

A multi-layer dimension reduction algorithm for text mining of news in forex / Arman Khadjeh Nassirtoussi by Nassirtoussi, Arman Khadjeh

“…Text mining is needed in many areas, a few of which are: search engine development, spam-filtering and text-summarization. …”
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An approach to modelling and simulating multithreaded schedulers for divide and conquer problems on multicore architecture / Alaa Mohammed Ali Wadi Al-Obaidi by Alaa Mohammed, Ali Wadi Al-Obaidi

“…This problem is represented by the optimal use of the new technology and how this is reflected in software development. In the core of the problem, there are two main issues that must be considered. …”
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Virtual prototype-based kinematic modeling and simulation of a multi-mode amphibious robot by Rafeeq, Mohammed, Toha, Siti Fauziah, Ahmad, Salmiah, Mohd Razib, Mohd Asyraf

“…The simulation result reflects the accurate kinematic characteristics of the amphibious robot and provides a theoretical basis for developing an algorithm for robot motion control and optimization. …”
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A systematic review on emperor penguin optimizer by Abdul Kader, Md., Kamal Z., Zamli, Ahmed, Bestoun S.

“…Emperor Penguin Optimizer (EPO) is a recently developed metaheuristic algorithm to solve general optimization problems. …”
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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

“…Using hill climbing from search and score algorithms, the Bayesian network analysis revealed that there were associations among the network covariates, while cofounding effects of SES were observed. …”
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Skyline queries on data with uncertain dimensions for efficient computation by Mohd Saad, Nurul Husna

“…The performance of SkyQUD-T is studied against two naïve algorithms that are developed to reflect the best-case and worst-case scenarios. …”
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Keyword query processing interface model of ontological natural language manipulation by Hasany, Syed Muhammad Noman

“…We used the shortest path algorithms to be called on certain resources to explore connectivity to reduce complexity of search. …”
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