Search Results - (( based constructive method algorithm ) OR ( time optimization based algorithm ))*
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1
A variant fisher and Jaikuamr algorithm to solve capacitated vehicle routing problem
Published 2017“…The initial clusters formation in a method are subjected to route optimization. Three prominent metaheuristic methods (i.e., genetic algorithm, ant colony optimization, particle swarm optimization) for TSP are considered for route optimization. …”
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Proceeding Paper -
2
A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…The proposed algorithm will switch its working pattern based on the goal minimum and boundary maximum index distances. …”
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Thesis -
3
Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…For these reasons, to improve the time and accuracy of the coverage in population-based meta-heuristics and their utilization in HPAs, this thesis presents a novel optimization algorithm called the Raccoon Optimization Algorithm (ROA). …”
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Thesis -
4
Amtree Protocol Enhancement by Multicast Tree Modification and Incorporation of Multiple Sources
Published 2008“…The results from experiments show that handoff latency using the new algorithms is much lower than using AMTree handoff procedure in both cases, i.e. when the source connects to a subscribed base station or not subscribed base station. …”
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Thesis -
5
Resource scheduling algorithm with load balancing for cloud service provisioning
Published 2019“…The method constructs a Fuzzy-based Multidimensional Resource Scheduling model to obtain resource scheduling efficiency in cloud infrastructure. …”
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Article -
6
Scheduling Algorithm For Lot Movement in Semiconductor Wafer Fabrication
Published 2008“…Imitating the collective activities of ant colonies, an approach to constructing pheromone-based scheduling algorithm using Ant Colony Optimization for lot movement in semiconductor wafer fabrication process is propose to be implemented in SilTerra Malaysia.…”
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Thesis -
7
Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques
Published 2014“…The aim is to solve the above-mentioned problems via an optimization mechanism based upon the combination between runtime path prediction method and heuristic algorithms. …”
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Thesis -
8
Feedforward neural network for solving particular fractional differential equations
Published 2024“…Then, a single hidden layer of FNN based on Chelyshkov polynomials with an extreme learning machine algorithm (SHLFNNCP-ELM) is constructed for solving FDEsC. …”
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Thesis -
9
Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphso...
Published 2022“…The proposed guaranteed convergence arithmetic optimization algorithm based on efficient modified third order Newton Raphson (GCAOAEmNR) method highlights important contributions to the literature in terms of methodology (explorer-exploiter phases) and objective function design. …”
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Article -
10
Underwater Acoustic Communication (UWA) Data Packet Size Optimization based on Throughput
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Final Year Project -
11
Machine learning in botda fibre sensor for distributed temperature measurement
Published 2023“…It was found that machine learning algorithms have significantly reduced the signal processing time by 3.5 to 655 times faster than the conventional LCF method. …”
text::Thesis -
12
A novel single parent mating technique in genetic algorithm for discrete - time system identification
Published 2024“…System identification is concerned with the construction of a mathematical model based on given input and output data to represent the dynamical behaviour of a system. …”
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Article -
13
Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed
Published 2017“…This model driven approach was integrated with the proposed infeasible path detection method which based on analyzing various OCL constructs and operations. …”
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Thesis -
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Dual search maximum power point algorithm based on mathematical analysis under partially-shaded conditions
Published 2016“…In the first group, the conventional techniques are combined with other techniques and the second group is based on the optimization methods. One of the main challenges of MPPT techniques under PSCs is ability of the algorithms to find the GMPP faster with minimal oscillation in power. …”
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Thesis -
16
Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi
Published 2018“…This thesis makes a number of key contributions to the advancement of fuel cell vehicle design within two main research areas; powertrain system design based on quality energy, and optimization system based on biology based algorithms. …”
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Book Section -
17
Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems
Published 2009“…Due to the high complexity of these problems, metaheuristic based global optimization techniques are usually required. …”
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Thesis -
18
A Stepper Motor Design Optimization Using
Published 2005“…In this project, the design optimization of a stepper motor is presented. In general, the area of study can be divided into motor principles and construction, design methods, and digital control experiments. …”
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Monograph -
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Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
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Thesis -
20
Artificial intelligence technique in solving nano-process parameter optimization problem / Norlina Mohd Sabri...[et al.]
Published 2017“…Three artificial intelligence techniques have been selected to solve this parameter optimization problem. The techniques are Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). …”
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