Search Results - (( development perspective optimization algorithm ) OR ( java pattern classification algorithm ))
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1
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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2
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Electing the best set of features will help to improve the classifier predictions in terms of the normal and abnormal pattern. The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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3
Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…Therefore, this study explores how to model reconfigurable manufacturing activities in an optimization perspective and how to develop and select appropriate non-conventional optimization techniques for reconfigurable process planning.In this study, a new approach to modeling Manufacturing Process Planning Optimization (MPPO) was developed by extending the concept of manufacturing optimization through a decoupled optimization method. …”
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4
Recent Advances and Applications of Spiral Dynamics Optimization Algorithm: A Review
Published 2022“…SDO algorithm is one of the most straightforward physics-based optimization algorithms and is successfully applied in various broad fields. …”
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Recent Advances and Applications of Spiral Dynamics Optimization Algorithm: A Review
Published 2022“…SDO algorithm is one of the most straightforward physics-based optimization algorithms and is successfully applied in various broad fields. …”
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Comparative analysis of sine cosine and social network search-based algorithm for software test redundancy reduction optimization
Published 2024“…Addressing this issue as an optimization problem, many existing works adopts metaheuristic algorithms to eliminate redundancy. …”
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7
Stochastic optimal control of economic growth model under research and development investment with Kalman filtering approaches
Published 2022“…These approaches aim to estimate the state dynamics from different perspectives. With these state estimates, two different computational algorithms are proposed, the EKF for state-control (EKF4SC) and UKF for state-control (UKF4SC) algorithms. …”
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Sub-route reversal repair mechanism and differential evolution for urban transit network design problem
Published 2017“…This thesis considers the urban transit network design problem (UTNDP) focusing on the implementation of population-based metaheuristic approaches, specifically on differential evolution (DE) and particle swarm optimization (PSO). The main goal is to develop solution methods that can be used to determine optimal transit route configuration for urban public transportation systems, specifically for system based on buses. …”
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10
A conceptual framework for multi-objective optimization of building performance: Integrating intelligent algorithms, simulation tools, and climate adaptation
Published 2025“…Overall, the study contributes a holistic perspective and actionable methodology for advancing intelligent, climate-adaptive building performance optimization.…”
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Computational dynamic support model for social support assignments around stressed individuals among graduate students
Published 2020“…Hence, this study aims to develop the dynamic configuration algorithm to provide an optimal support assignment based on information generated from both social support recipient and provision computational models. …”
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12
Efficiency optimization of variable speed induction motor drive using online backpropagation
Published 2006“…Development of an efficiency optimization control for variable speed drive system is important not only from the viewpoints of energy saving but also from the broad perspective of greenhouse emission. …”
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13
Using artificial intelligence search in solving the camera placement problem
Published 2022“…Due to the impact of optimal camera placement on the efficiency and the cost of surveillance systems as well as the rapid development in sensor technologies and the pressing security needs, the last two decades witnessed an increasing interest in developing and introducing efficient methods for solving what is known as the camera placement problem. …”
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A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria decision analysis meth...
Published 2020“…Given the rapid development of dehazing image algorithms, selecting the optimal algorithm based on multiple criteria is crucial in determining the efficiency of an algorithm. …”
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A multi-objective routing mechanism for energy management optimization in SDN multi-control architecture
Published 2022“…The problem is then addressed from the perspective of the policy-based EARMLP technique, which is used to carefully determine the optimal assignment between controllers and their switches to optimize network energy savings. …”
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Performance of correlational filtering and deep learning based single target tracking algorithms / ZhongMing Liao and Azlan Ismail
Published 2023“…Experiments were conducted on OTB100 and VOT2018 benchmark datasets, and the experimental data obtained were analyzed to derive two visual single-target tracking algorithms with optimal tracking performance. Finally, the future development of tracking algorithms is envisioned.…”
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17
A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia
Published 2018“…In this research, a hybrid model of system dynamics (SD) and genetic algorithm (GA) was developed to determine the optimal policy in increasing the CPO production in Malaysia. …”
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18
Adaptive path finding algorithm in dynamic environment for warehouse robot
Published 2020“…One of the fundamental components when designing a warehouse robot is path finding algorithm. In the past, many path finding algorithms had been proposed to identify the optimal path and improve the efficiency in different conditions. …”
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Green network planning and operational power consumption optimization in LTE-A using artificial intelligence
Published 2015“…A cascaded multi-objective genetic algorithm network optimization (CMOGANO) is developed to optimize the network number of base station, their location and configuration in the first stage to provide full coverage. …”
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20
Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm
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