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Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm
Published 2023Conference Paper -
2
A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…A statistical test was used to demonstrate the efficiency of the proposed algorithm over the compared methods. …”
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Thesis -
3
The Implementation of Genetic Algorithm in Path Optimization
Published 2005“…Since 1800s when first mathematical problems related to TSP was treated, it became an interesting topic of optimization problem to be studied. In this project, TSP will be used to model and easy visualize the path optimization problem and Genetic Algorithm (GA) was chosen to be implemented in resolving the problem. …”
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Final Year Project -
4
Robotic indoor path planning using dijkstra's algorithm with multi-layer dictionaries
Published 2016“…Dijkstra's algorithm is a classic algorithm for finding the shortest path between two points due to its optimisation capability. …”
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Conference or Workshop Item -
5
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…The algorithms are evaluated using 30 benchmark functions of the CEC2014 benchmark suite, and then applied to solve PCB drill path optimization case study. …”
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6
Enhancing performance of global path planning for mobile robot through Alpha–Beta Guided Particle Swarm Optimization (ABGPSO) algorithm
Published 2025“…The results reveal that our proposed method reduces the mobile robot's travel time by up to 69%, 67%, 72%, and 79% compared to these algorithms, while consistently achieving optimal path lengths. …”
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Article -
7
Modelling of multi-robot system for search and rescue
Published 2023“…Moreover, to cope with dynamic environments, a combination of global and local path planning methods is introduced. The PSO algorithm functions as a global path planner, determining the complete path for each robot, whereas a sensor-based obstacle avoidance algorithm serves as a local planner to avoid collision with dynamic obstacles during navigation. …”
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Final Year Project / Dissertation / Thesis -
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…The steps to calculate a shortest path using A • algorithm is shown by using appropriate examples and related figures. …”
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9
Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…A new mutation vector inspired by the two-opposite path (2-Opt) algorithm with adaptive mutation scalar (F ) and crossover rate (CR) control parameters were employed to enhance the exploration and exploitation phases of the proposed algorithm. …”
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10
Improvement and application of particle swarm optimization algorithm
Published 2025“…This method combines CPTD with the Genetic Algorithm and PSO (GAPSO), resulting in an effective strategy for dynamic formation reconfiguration and path optimization. …”
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Article -
11
Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed
Published 2017“…In order to generate optimal data to satisfy whole constraints in the feasible path, new method with SBTs is necessary to satisfy the whole constraints at the same time of the whole path executing. …”
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Thesis -
12
Vehicle routing problem using genetic algorithm / Shamini Nagaratnam
Published 2006“…This dissertation studies and explores the potential of using Genetic Algorithms to find the shortest path in Vehicle Routing Problem. …”
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13
Artificial bee colony algorithm with proposed discrete nearest neighborhood algorithm for discrete optimization problems
Published 2021“…In addition, 2 types of scout bee were used for to intensify the probability property of the algorithm. …”
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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. The objective of the TSP is to find the shortest path that reaches all the cities which are interconnected with each other by straight lines.The symmetric TSP is used and the distance between two cities is calculated by using Euclidean equation.In this study, three heuristic methods, namely simulated annealing (SA), tabu search (TS) and reactive tabu search (RTS) are used to solve TSP.SA is a generic probabilistic meta-algorithm for the global optimization problem and TS is a meta-heuristic search technique that guides a local search procedure to explore the solution space beyond local optimality. …”
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Monograph -
16
Metaheuristic optimization techniques for localization in outdoor wireless sensor networks: a comprehensive review
Published 2025“…This paper serves as a comprehensive background on localization algorithms and methods used in wireless sensor networks, offering insights for researchers to develop efficient localization algorithms tailored to specific application requirements in diverse work environments.…”
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Article -
17
Routing problem in rectangular mesh network using shortest path based Greedy method
Published 2019“…Therefore, developing a shortest path based routing algorithm is in need. In this research, Dijkstra's algorithm is used to establish the shortest connection for each net. …”
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Conference or Workshop Item -
18
Optimization of fast fourier transform based on twiddle factor using genetic algorithm on raspberry pi
Published 2019“…Over the years the Genetic Algorithms (GA) proved to be one of the best methods for optimization. …”
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Thesis -
19
Routing problem in rectangular mesh network using shortest path based Greedy method
Published 2019“…Therefore, developing a shortest path based routing algorithm is in need. In this research, Dijkstra's algorithm is used to establish the shortest connection for each net. …”
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20
Electricity distribution network for low and medium voltages based on evolutionary approach optimization
Published 2015“…This thesis proposes an algorithm to find the optimum distribution substation placement and sizing by utilizing the PSO algorithm and optimum feeder routing using modified Minimum Spanning Tree (MST). …”
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