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Genetic Algorithm (GA) based Dynamic Path Planning Algorithm (DPPA)

Robotic Path Planning using Genetic Algorithm in  Dynamic Environment

Robotic Path Planning using Genetic Algorithm in Dynamic Environment

... Path planning is one of the important part of robotics. In this paper a path planning method based on genetic algorithm is proposed for finding path for mobile ...

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Face Spoof Detection System Based on Genetic Algorithm and Artificial Intelligence Technique

Face Spoof Detection System Based on Genetic Algorithm and Artificial Intelligence Technique

... detection algorithm is based on SIFT along with genetic algorithm and artificial neural network is proposed, which is effective in grasping the intrinsic distortions of spoof face images with ...

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Lookahead policy and genetic algorithm for solving nurse rostering problems

Lookahead policy and genetic algorithm for solving nurse rostering problems

... Output of this genetic algorithm is a solution set based on the final population C . A chromosome c is encoded indirectly and corresponds to a weekly schedule. The length of c is the number of nurses ...

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Hybrid Genetic Algorithm and Variable Neighborhood Search for Dynamic Facility Layout Problem

Hybrid Genetic Algorithm and Variable Neighborhood Search for Dynamic Facility Layout Problem

... metaheuristic GA-VNS matching genetic algorithm (GA) and variable neighborhood search (VNS) to the dynamic facility layout problem ...time planning horizon so that the total cost ...

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UAV Path Planning with Parallel Genetic Algorithms on CUDA Architecture

UAV Path Planning with Parallel Genetic Algorithms on CUDA Architecture

... and path planning of UAVs. In this paper, we focused of the path planning of UAVs for controlling a number of waypoints in the mission ...like genetic algorithms (GAs), to calculate an ...

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Integrating Genetic Algorithm, Tabu Search and Simulated Annealing For Job Shop Scheduling Proble

Integrating Genetic Algorithm, Tabu Search and Simulated Annealing For Job Shop Scheduling Proble

... new algorithm based on Genetic Algorithm (GA), Tabu Search (TS) and Simulated Annealing (SA) algorithms to solve ...proposed algorithm is mainly based on the ...

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Obstacle Avoidance Strategy of Intelligent Vehicle Path Planning Based on Particle Swarm Optimization

Obstacle Avoidance Strategy of Intelligent Vehicle Path Planning Based on Particle Swarm Optimization

... global path planning methods are Artificial Potential Field [2], Genetic Algorithm [3], Ant Colony Optimization [4], Particle Swarm Optimization [5- 6], ...path planning. Qin ...

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A HYBRID METHOD OF LINGUISTIC APPROACH AND STATISTICAL METHOD FOR NESTED NOUN 
COMPOUND EXTRACTION

A HYBRID METHOD OF LINGUISTIC APPROACH AND STATISTICAL METHOD FOR NESTED NOUN COMPOUND EXTRACTION

... as Genetic Algorithm and the Bees Algorithm have been used in the literature to solve this ...the Genetic Algorithm, Bees Algorithm, and the combination of these two algorithms, ...

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Dynamic path planning algorithm in mobile robot navigation

Dynamic path planning algorithm in mobile robot navigation

... feasible path from the starting position to the desired ...unnecessary path ways to reduce the total traveled distance. Path remembering strategy proposed in this paper assists the mobile robot to ...

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ASSESSING LEARNING PARADIGMS IN TEXT CLASSIFICATION

ASSESSING LEARNING PARADIGMS IN TEXT CLASSIFICATION

... the genetic algorithm to find an optimal ...by genetic algorithm. Moreover, the GA with our developed crossover operator is more ...

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Porosity Calculation of Tight Sand Gas  Reservoirs with GA CM Hybrid  Optimization Log Interpretation Method

Porosity Calculation of Tight Sand Gas Reservoirs with GA CM Hybrid Optimization Log Interpretation Method

... of algorithm research, a large number of domestic and foreign scholars make a lot of efforts in the mathematical method selection criterion, the improvements of classical methods, the developments of new ...

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An Investigation on the Effect of Migration Strategy on Parallel GA Based Shortest Path Routing Algorithm

An Investigation on the Effect of Migration Strategy on Parallel GA Based Shortest Path Routing Algorithm

... routing algorithm is far from ...shortest path routing algorithms that are based on nature-inspired optimization techniques such as genetic algorithm [2,3], neural networks [4], ...

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Decentralized Two-Level 0-1 Programming through Distributed Genetic Algorithms

Decentralized Two-Level 0-1 Programming through Distributed Genetic Algorithms

... a genetic algorithm (GA) proposed by the authors, a distributed genetic algorithm is intro- duced with respect to the upper level GA, which handles decision variables for the ...

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A 10 BIT 50 MS/S LOW POWER PIPELINE ADC FOR WIMAX/LTE

A 10 BIT 50 MS/S LOW POWER PIPELINE ADC FOR WIMAX/LTE

... Network Algorithm (ANNA) based on Genetic Algorithm (GA) to rearrange existing knowledge structure which combined with machine learning methods, for the purpose of improvement the ...

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Unrelated Parallel Machines Scheduling with the Effect of Aging and Learning under Multi Maintenance Activities

Unrelated Parallel Machines Scheduling with the Effect of Aging and Learning under Multi Maintenance Activities

... therefore genetic algorithm and the imperialist competitive algorithm are provided, before developing algorithms, we first utilize a lower bound adjusted form Pinedo[2] for assessing the performance ...

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HEURISTIC BASED APPROACH OF CELL FORMATION CONSIDERING OPERATION SEQUENCE

HEURISTIC BASED APPROACH OF CELL FORMATION CONSIDERING OPERATION SEQUENCE

... 2) Other drawback is the irreversibility of the hierarchal clustering algorithm, i.e. once two machines (or cells) are grouped together at some stage there is no way to retrace the steps even if it leads to ...

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A Linear Interpolation Based Algorithm for Path  Planning and Replanning on Girds

A Linear Interpolation Based Algorithm for Path Planning and Replanning on Girds

... the path cost, the total number of rhs-value updates (that is, updates of the rhs-values), the total number of vertex ex- pansions (updates of the g-values) and the ...initial planning (or replanning) ...

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Robot path planning in a dynamic and unknown environment based on Colonial Competitive Algorithm (CCA) and fuzzy logic

Robot path planning in a dynamic and unknown environment based on Colonial Competitive Algorithm (CCA) and fuzzy logic

... competitive algorithm was inspired by the idea of the socio-political evolution of humans via ...This algorithm began with a random primary population that each member of this population is only one ...

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Polymerizer fault diagnosis algorithm based on improved the GA LMBP

Polymerizer fault diagnosis algorithm based on improved the GA LMBP

... You can see from three diagnostic results, with ga- lmbp algorithm for fault diagnosis of Polymerization kettle is very effective, failure the accuracy rate of 96.67.Fault Diagnosis by mutations in the ...

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Unmanned vehicle path planning using a novel ant colony algorithm

Unmanned vehicle path planning using a novel ant colony algorithm

... vehicle path planning explores a feasible path in the known or unknown environment by sensing the surrounding ...environment. Path planning problem not only simply expresses the search ...

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