Search Results - (( simulation optimization problem algorithm ) OR ( based evaluation path algorithm ))
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1
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…In this research, two novel estimation-based metaheuristic optimization algorithms, named as Simulated Kalman Filter (SKF), and single-solution Simulated Kalman Filter (ssSKF) algorithms are introduced for global optimization problems. …”
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Thesis -
2
A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…Sampling-based motion planning is a class of randomized path planning algorithms with proven completeness. …”
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3
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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4
Simulated kalman filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem
Published 2022“…Most metaheuristic algorithms are designed for continuous optimization problem. …”
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Conference or Workshop Item -
5
Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…In addition, the performance of the new operators called GA_INSP (GA Inspection Module), DTC (Dynamic Tuning Crossover), and BCS (Bi-Cycle Selection Method) for a better evolutionary approach to the time-based problem has been discussed in the thesis. The simulation results indicate that the algorithm is able to segregate and assign the tasks for each scanning head and also able to find the shortest scanning path for different types of objects coordination. …”
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6
Transmission path optimization Based on Efficiency Communication System
Published 2022“…At the same time, the developed algorithm combines the relative position of the cluster and the base station to further improve the routing method of the sub-cluster head, Finally, the algorithm analyzes the influence of different parameters on the transmission path, and use the simulation experiments to evaluate the conclusions.…”
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Conference or Workshop Item -
7
Performance evaluation of heuristic methods in solving symmetric travelling salesman problems
Published 2016“…Background and Objective: The Travelling Salesman Problem (TSP) is a challenging problem in combinatorial optimization whose main purpose is to find the shortest path reaching all interconnected cities by straight lines.In spite of many available heuristic methods for solving TSPs, no attempts have been made to evaluate and compare their performances. …”
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Article -
8
Three-dimensional coverage control for multi-unmanned aerial vehicle
Published 2024“…The performance of the transitioned 3D algorithm is evaluated against the original 2D MBC algorithm in terms of computational load, convergence analysis, path length, coverage quality, and scalability. …”
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Final Year Project / Dissertation / Thesis -
9
The Effect of Rainfall on the UAV Placement for 5G Spectrum in Malaysia
Published 2023“…The problem is solved by invoking two algorithms, namely Particle Swarm Optimization (PSO) and Gradient Descent (GD) algorithms. …”
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10
A comparative study of heuristic methods to solve Traveling Salesman Problem (TPS)
Published 2011“…Traveling Salesman Problem (TSP) is a famous problem in combinatorial optimization. …”
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Monograph -
11
Ant system with heuristics for capacitated vehicle routing problem
Published 2013“…The aim of this research is to develop an Ant Colony Optimization (ACO) for solving the CVRP where it simulates the behavior of real ants that always find the shortest path between their nest and a food source through an indirect form of communication, namely pheromone trail. …”
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Thesis -
12
Energy-efficient scalable routing protocol based on ACO for WSNS
Published 2019“…An energy-efficient scalable routing algorithm based on ant colony optimization (ACO) for WSNs is presented here to find the optimal path of data transmission while consuming less energy leading to increase of network’s lifetime. …”
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Proceeding Paper -
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Adaptive manet OLSR routing protocol for optimal route selection in high dynamic network
Published 2020“…The proposed Quality of Path QoP metric is incorporated into the modified relay selection algorithm, which improves the efficiency of relay selection mechanism to find optimal path with high link quality. …”
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14
Ant colony optimization for vehicle traffic systems: applications and challenges
Published 2014“…Thus, ant-based algorithms are now being adopted by vehicle traffic systems VTSs to guide vehicles to less congested paths. …”
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Article -
15
Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller
Published 2010“…It is observed that the APFLC showed convincing performance over the entire simulation of the Pico-satellite. Genetic Algorithm (GA) is a computational model inspired by evaluation. …”
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16
Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari
Published 2015“…AVCAF collects real-time traffic data through vehicular networks to consider non-recurring congestion conditions in its routing mechanism via ant-based algorithm. The proposed framework is evaluated and validated through simulation environment. …”
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17
State-Aware re-configuration model for multi-radio wireless Mesh Networks
Published 2017“…The ns-2 simulator is used as simulation tool and various metrics are evaluated. …”
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Article -
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Efficient flow-based channel assignment schemes for congestion avoidance in wireless mesh networks
Published 2016“…The metric is developed based on the actual channel throughput. Also, two algorithms are developed to address the link sharing problem during the channel assignment stages; channel-to-interface and link-to-interface stages. …”
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Thesis -
19
Bat optimized link state routing protocol for energy-aware mobile ad-hoc networks
Published 2023“…The symmetry between OLSR of MANET and Bat Algorithm (BA) is that both of them use the same mechanism for finding the path via sending and receiving specific signals. …”
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A discrete simulated kalman filter optimizer for combinatorial optimization problems
Published 2022“…Another type of algorithm is called numerical algorithms. These algorithms were built specifically to address numerical optimization problems. …”
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