Search Results - (( a constructive path algorithm ) OR ( using solution learning algorithm ))

Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation by Muslim, Farah Kamil Abid

“…Finally, the last objective is to improve the optimality of the new approach using a robust Machine Learning strategy. An adaptive neuro-fuzzy inference system (ANFIS) was designed which constructs and optimizes a fuzzy logic controller using a given dataset of input/output variables in order for the mobile robot to learn. …”
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Problem Solving by Yahaya, Azizi

“…Although well-structured problems may have a clear path to solution, the route to solution may still be difficult to follow. …”
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A generalized laser simulator algorithm for optimal path planning in constraints environment by Aisha, Muhammad

“…Path planning refers to a robot's search for a collision-free and optimal path from a start point to a predefined goal position in a given environment. …”
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A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments by Khaksar, Weria

“…Sampling-based motion planning is a class of randomized path planning algorithms with proven completeness. …”
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Route optimization using shortest path method / Muhamad Faisal Amin Shakri by Shakri, Muhamad Faisal Amin

“…This study investigated the implementation and comparison between well known shortest path method which are Dijkstra’s algorithm, Bellman-Ford, and A* algorithm. …”
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Performance comparison between genetic algorithm and ant colony optimization algorithm for mobile robot path planning in global static environment / Nohaidda Sariff by Sariff, Nohaidda

“…In the initial stage, the test environments were constructed. Subsequently, both algorithms were applied to the test environments. …”
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Autonomous path planning robot using geographical information by Ismail Ishaq Ibrahim

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Wi-fi fingerprint database construction using Chebyshev wavelet functions by Narzullaev, Anvar, Nemadaliev, Azamjon, Selamat, Mohd Hasan, Othman, Mohamed, Sharif, Khaironi Yatim

“…Our algorithm requires only a few samples to be collected in a given region, and thus significantly reduces the calibration time. …”
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An efficient algorithm to improve oil-gas pipelines path by Hasan Almaalei, Nabeel Naeem, Mohd Razali, Siti Noor Asyikin, Mohammed Alduais, Nayef Abdulwahab

“…Therefore, the aim of this study is to propose a new algorithm to obtain the shortest path connecting oil-gas wells and addressing obstacles that may appear on the path connecting any two wells. …”
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The impact of clustering on the average path length in wireless sensor networks by Aziz, A.A., Şekercioğlu, Y. A.

“…Clustering algorithms have been widely used in wireless sensor networks for virtual backbone construction. …”
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Shortest path from Bandar Tun Razak to Berjaya Times Square using Dijkstra Algorithm / Nur Syuhada Muhammat Pazil ... [et al.] by Muhammat Pazil, Nur Syuhada, Mahmud, Norwaziah, Jamaluddin, Siti Hafawati, Mustafa, Nur Farasyaqirra

“…Nevertheless, both time and cost of shortest path are constructed in different paths. The time and cost of the journey are described by driving a car from Bandar Tun Razak to Lebuhraya SMART to Kampung Pandan, then Berjaya Times Square. …”
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An application of Floyd-Warshall Algortihm in finding shortest path of order picker in warehouse / Saidatul Aisyah Roslan, Siti Norhakimah Mohd Yatim and Siti Sarah Sulaiman by Roslan, Saidatul Aisyah, Mohd Yatim, Siti Norhakimah, Sulaiman, Siti Sarah

“…This algorithm run in a software called Toolkit for Oracle (TORA) software. …”
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Optimizing optimal path trace back for Smith-Waterman algorithm using structural modelling technique by Saliman, Nur Farah Ain

“…The optimizing of optimal path trace back system for Smith-Waterman algorithm using structural modelling techniques are presented in this paper. …”
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Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques by Qtaish, Osama Kayed Taher

“…However, when compositions contain more than one execution path (i.e., multiple path's compositions), it is difficult to generate a composite service that simultaneously optimizes all the execution paths involved in the composite service at the same time while meeting the QoS requirements. …”
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Comparison between Lamarckian Evolution and Baldwin Evolution of neural network by Taha, Imad, Inazy, Qabas

“…Baldwinian learning uses learning algorithm to change the fitness landscape, but the solution that is found is not encoded back into genetic string. …”
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Design and analysis of construction and recombination module using Idury Waterman Algorithm for fragment assembly application / Hafifi Mohd Rafi by Mohd Rafi, Hafifi

“…There is several algorithms use in sequencing of DNA fragment. This paper presents a study on design and analysis of construction and recombination module using IduryWaterman algorithm and fragment assembly application using Verilog. …”
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AUTOMATED GUIDED ROBOT (AGR) by Abd Rahim, Mohd Azlan Shah

“…Algorithm conversion to C code programming has been done throughout the project for the obstacle avoidance and path planning algorithms based upon the GA platform ofAI.…”
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Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed by Aneesa Ali, Ali Saeed

“…A model-driven approach was used for generating abstract test cases from the feasible paths. …”
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Modeling dynamic weight for 3D navigation routing by Musliman, Ivin Amri, Abdul Rahman, Alias, Coors, Volker

“…In this paper, an approach for finding shortest path or route in a dynamic situation for indoors and outdoors using Single Sink Shortest Path (SSSP) routing algorithm is proposed. …”
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Clustering ensemble learning method based on incremental genetic algorithms by Ghaemi, Reza

“…Moreover, experiments demonstrate that final clustering solution generated by the proposed incremental genetic-based clustering ensemble algorithm using the pattern ensemble learning method possess comparative or better clustering accuracy than clustering solutions generated by the incremental genetic-based clustering ensemble algorithms using other recombination operators. …”
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