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An adaptive QOS scheduling algorithm in service oriented grid and cloud environment / Ang Tan Fong
Published 2011“…An experimental testbed is developed to evaluate the performances of all the proposed algorithms. …”
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The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment
Published 2016“…Thus, a new algorithm known as infection evolution (IE) was developed in this study. …”
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Identifying a Gene Knockout Strategy Using a Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis to Enhance the Production of Succinate and Lacta...
Published 2019“…Due to this, many computational approaches that perform genetic manipulation have been developed in the computational biology field. …”
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Explaining recreationist responsible behaviour : a case of scuba diving / Ong Tah Fat
Published 2012“…An experimental testbed is developed to evaluate the performances of all the proposed algorithms. …”
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Malaysian menu planning model using Self-adaptive Hybrid Genetic Algorithm (SHGA)
Published 2018“…We developed Malaysian menu planning model with the objectives to optimize the budget allocation for each student, maximize the variety of daily meals, maximize the caterer’s ability, accomplish meals course structures and fulfill the standard recommended nutrient intake (RNI). …”
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Reusability techniques in load-flow analysis computer program
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Malaysian menu planning model using Self-Adaptive Hybrid Genetic Algorithm (SHGA)
Published 2018“…We developed Malaysian menu planning model with the objectives to optimize the budget allocation for each student, maximize the variety of daily meals, maximize the caterer’s ability, accomplish meals course structures and fulfill the standard recommended nutrient intake (RNI). …”
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Hybrid multi-objective optimization methods for in silico biochemical system production
Published 2016“…This study aims to design and develop an optimization method that efciently and effectively maximizes the biochemical system production and minimizes the total component concentrations involved simultaneously. …”
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A Simulated Annealing Approach to Solve Fuzzy Multi-Objective Linear Model for Supplier Selection in a Supply Chain
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Steganography algorithm to hide secret message inside an image
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Delay and energy-aware routing for efficient data collection in wireless sensor networks / Ihsan Ali
Published 2024“…The AFW algorithm reduces unnecessary computations by focusing only on useful edge entries in the graph, thereby expediting the optimization process. …”
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A hybrid of Simple Constrained artificial bee colony algorithm and flux balance analysis for enhancing Lactate and Succinate in Escherichia Coli
Published 2018“…The advent of metabolic engineering has further laid the foundation for computational biology, leading to the development of computational approaches for suggesting genetic manipulation. …”
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Computational intelligence technique for DG installation within contingency scenario / Muhamad Saifullah Mahmud Affandi
Published 2014“…This proposed technique will be compared with Evolutionary Programming (EP) algorithm, that usually designed to maximize or minimize the objective function, which is a measure of the quality of each candidate solution. …”
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A discrete event simulation framework for utility accrual scheduling algorithm in uniprocessor environment
Published 2011“…Conclusion: Extensive performance analysis of GUS simulator can be deployed using the developed simulator with low computational overhead. …”
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Using artificial intelligence search in solving the camera placement problem
Published 2022“…Two case studies are used to evaluate those algorithms, and the camera placement problem is formulated as a coverage maximization problem. …”
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Computational model for energy aware TDMA-based MAC protocol for wireless sensor network system
Published 2007“…This paper proposes a novel approach that tries to reduce idle energy consumption by implementing active-sleep algorithm named energy aware A-MAC protocol. The result from the computational model shows that the algorithm can prolong the network lifetime due to efficiency in energy consumption from time slot management.…”
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