Search Results - (( using optimization based algorithm ) OR ( using sector (problems OR problem) algorithm ))
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Machining optimization using Firefly Algorithm / Farhan Md Jasni
Published 2020“…When any of these targets is not achieved, creating big problem to company and a total loss. The metaheuristic algorithm which being called as Firefly Algorithm (FA) is often used to solve various optimization problem in our daily life. …”
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Student Project -
2
Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem
Published 2008“…Based on the proposed heuristic method, we developed a program to optimize the routing problem using the Visual Studio C++ 6.0 programming language.…”
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Monograph -
3
Hybrid evolutionary optimization algorithms: A case study in manufacturing industry
Published 2014“…This membership function is applied for its useful performance through industrial production problems by employing hybrid evolutionary optimization algorithms. …”
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Book -
4
Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…The new proposed method (MBPSO+MKN+GK) Gustafson- Kessel algorithm (GK)integrated with modified of Kohonen Network algorithm (MKN)and modified binary particle swarm optimization (MBPSO) was used to classify the credit scoring data. …”
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Thesis -
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Optimized routing algorithm for mobile multicast source in Wireless Mesh Networks
Published 2015“…Thus this paper proposes a Differential Evolution based optimized mobile multicast routing algorithm for the shared tree architecture. …”
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Proceeding Paper -
7
Unifying the evaluation criteria of many objectives optimization using fuzzy Delphi method
Published 2021“…Many objective optimizations (MaOO) algorithms that intends to solve problems with many objectives (MaOP) (i.e., the problem with more than three objectives) are widely used in various areas such as industrial manufacturing, transportation, sustainability, and even in the medical sector. …”
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Article -
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Route Planning Analysis In Holes Drilling Process Using Magnetic Optimization Algorithm For Electronic Manufacturing Sector
Published 2013“…Based on this motivation, this paper proposes an approach which is based on the experimentation of Magnetic Optimization Algorithm. …”
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Article -
9
Intelligent energy allocation strategy for PHEV charging station using gravitational search algorithm
Published 2014“…Most of these works require formulation of mathematical models which extensively use computational intelligence-based optimization techniques to solve many technical problems. …”
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Conference or Workshop Item -
10
Taylor-Bird Swarm Optimization-Based Deep Belief Network For Medical Data Classification
Published 2022“…Then, the selected features are given as input to the DBN classifier which is trained using the Taylor-based bird swarm algorithm (Taylor-BSA). …”
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Thesis -
11
A Harris hawks optimization based single- and multi objective optimal power flow considering environmental emission
Published 2020“…The obtained results are compared with the other Artificial Intelligence (AI) techniques such as the Whale Optimization Algorithm (WOA), the Salp Swarm Algorithm (SSA), Moth Flame (MF) and Glow Warm Optimization (GWO). …”
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Article -
12
Harris Hawk Optimization-Based Deep Neural Networks Architecture for Optimal Bidding in the Electricity Market
Published 2022“…In this research, we provide HHO-NN (Harris Hawk Optimization-Neural network), a novel algorithm based on Harris Hawk Optimization (HHO) that is capable of fast convergence when compared to previous evolutionary algorithms for automatically searching for meaningful multilayered perceptron neural networks (MPNNs) topologies for optimal bidding. …”
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Article -
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Swarm Intelligence-Based Smart Energy Allocation Strategy for Charging Stations of Plug-In Hybrid Electric Vehicles
Published 2015“…Most of these works require formulation of mathematical models with extensive use of computational intelligence-based optimization techniques to solve many technical problems. …”
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Article -
14
Investigating The Performance Of Metaheuristics To Optimize The Revenue Of Semiconductor Supply Chain
Published 2022“…Due to their simplicity, flexibility, vast number of accessible methods, and ability to avoid local optimums throughout the computing process, metaheuristics are becoming increasingly popular for addressing optimization issues. The algorithms used to tackle optimization issues in several scientific and technological sectors do not require major modifications to be successful. …”
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Monograph -
15
Artificial Intelligence (AI) in the art and design industry / Fahmi Samsudin
Published 2023“…It encompasses different types, such as rule-based AI using if-then statements for decision-making, machine learning which employs algorithms to analyze and learn from data, and deep learning utilizing artificial neural networks to learn from extensive datasets. …”
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Article -
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Modelling of assembly line balancing with energy consumption
Published 2023“…The Particle Swarm Optimization (PSO) algorithm was applied and the model was tested by using three problems which consist of each of a small, medium, and large-sized test problem. …”
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Conference or Workshop Item -
17
Reliable low power network protocol in IoT for agriculture field
Published 2024“…An Internet of Things (IoT) sensor network consists of sensor nodes which sample and send data to the base station. Agriculture is one sector which makes use of IoT sensor networks for collecting data on the growing environment of crops for farmers to perform adjustments for optimal crop growth. …”
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Final Year Project / Dissertation / Thesis -
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Swarm Intelligence-Based Smart Energy Allocation Strategy for Charging Stations of Plug-In Hybrid Electric Vehicles
Published 2015“…Most of these works require formulation of mathematical models with extensive use of computational intelligence-based optimization techniques to solve many technical problems. …”
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Citation Index Journal -
19
A reliable time base routing framework with seamless networking operation for SDN / Nauman Khan
Published 2024“…PMTRF modules and their algorithms enable the isolation of the maintenance switch and the selection of the most reliable path for future affected flows based on input time provided by the administrator. …”
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Thesis -
20
A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques
Published 2023“…In recent decades, biodiesel has attracted much attention as a promising replacement for fossil fuel-based diesel, especially in the transportation sector. …”
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