Search Results - (( java implication based algorithm ) OR ( case integration process algorithm ))
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Isochronous explicit time integration framework: illustration to thermal stress problems involving both first- and second-order transient systems
Published 2014“…Similar to the implicit case, the same adaptation process of the isochronous integration is valid for the explicit case. …”
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Article -
2
An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players
Published 2021“…A new combined decision model which integrates Analytical Network Process and Case-based Reasoning was developed. …”
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Thesis -
3
Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State
Published 2022“…In each case, the Traveling Salesman Problem-Genetic Algorithm (TSP-GA) algorithm is applied to determine a minimum total distance of RES sites integration. …”
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4
Collaboration of integrative processes intermediaries supporting supply chain management
Published 2012“…The algorithms are an intermediary processes to provide semi automated assistance to the management team for tighter supply chain integration. …”
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Book Chapter -
5
Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023“…GA assists in optimizing the search process and performs machine learning. Within the GA, nearest neighbor algorithm is used in determining the most similar recorded case that can be used in solving the new case. …”
Conference paper -
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Development of an integrated scheduling model for handling equipment in automated port container terminals
Published 2014“…In addition, results proved that the modified meta-heuristic algorithm is able to find near optimal solutions and on average, the solutions found by the GA algorithm are only 0.2% worse than the optimal solutions and in the worst case in the test cases this difference is 2.3% which is acceptable. …”
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Thesis -
7
Optimisation of fed-batch fermentation process using deep reinforcement learning
Published 2023“…At the same time, the total ethanol formation is 0.19 g/l and 0.03 g/l lower than the exponential feeding and genetic algorithm, respectively. In other cases of different initial yeast and substrate concentrations, the proposed algorithm in general outperforms the exponential feeding profile while produces comparable results to the genetic algorithm. …”
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Thesis -
8
Artificial Intelligence Matching Algorithm with UTP Final Year Project Students and Advisors Matching as Test Case
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Final Year Project -
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Hybrid fuzzy-sliding mode observer design for estimation and advanced control of an ethylene polymerization process / Jarinah Mohd Ali
Published 2017“…Both the second and third cases are behaving like practical cases. Polymerization reactor for producing polyethylene plant is chosen as the case study to observe the performances of both the fuzzy-SMO and the embedded integrator MPC. …”
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10
The development of integrated planning and scheduling framework for dynamic and reactive environment of complex manufacturing problem
Published 2008“…Secondly, in Chapter 2 we described the modeling of the real world manufacturing processes using Petri Nets. We present two models of manufacturing process, namely machine model and process model. …”
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Monograph -
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Hybrid Artificial Bees Colony Algorithms For Optimizing Carbon Nanotubes Characteristics
Published 2018“…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
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Thesis -
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Input Information in the Approximate Calculation of Two-Dimensional Integral from Highly Oscillating Functions (Irregular Case)
Published 2019“…The paper is dedicated to the improvement of mathematical models of digital signal processing and imaging by the example of constructing formulas of approximate calculation of integrals of highly oscillating functions of two variables (irregular case). …”
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Conference or Workshop Item -
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Exploring High Resolution Test Pattern To Improve The Cache Failure Analysis
Published 2017“…The resolution of test algorithm plays an important role in helping FA process to identify every single failing bits in cache array. …”
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Thesis -
15
Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing
Published 2022“…The case study results indicated the applicability of proposed 2S-ASPLB model and algorithm to improve line efficiency in assembly line. …”
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Article -
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Adopting genetic algorithm to enhance state-sensitivity partitioning
Published 2015“…The technique used in generating test cases may lead to effective and efficient software testing process. …”
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Conference or Workshop Item -
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Adopting genetic algorithm to enhance state-sensitivity partitioning
Published 2015“…Genetic algorithm (GA) has been identified as the most common potential technique among several optimization techniques.Thus, GA is investigated for the integrating with the existing SSP. …”
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Conference or Workshop Item -
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A fuzzy case-based reasoning model for software requirements specifications quality assessment
Published 2023“…The input to the nearest cases algorithm is the relevant cases and the output is the nearest cases. …”
Article -
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CS-FuzGA-PTS: Maximizing fault detection through optimizing t-way test suite prioritization based on boundary value analysis
Published 2024“…The core of CS-FuzGA-PTS lies in a new optimization algorithm called CS-FuzGA as a search algorithm. The algorithm integrates adaptive fuzzy logic-controlled Genetic Algorithm (GA) operators with Cuckoo Search (CS). …”
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Article -
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