Search Results - (( based location path algorithm ) OR ( evolution optimization based algorithm ))
Search alternatives:
- evolution optimization »
- based location »
- path algorithm »
-
1
Reliably optimal PMU placement using disparity evolution-based genetic algorithm
Published 2017“…In this paper, Disparity Evolution-type Genetic Algorithm (DEGA) based on disparity theory of evolution is applied. …”
Get full text
Get full text
Get full text
Article -
2
A refined differential evolution algorithm for improving the performance of optimization process
Published 2011“…DE is developed based on an improved Genetic Algorithm and come with different strategies for faster optimization. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
3
A new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising
Published 2015“…The main intention of this study was to investigate the development of a new optimization technique based on the differential evolution (DE) algorithm, for the purpose of linear frequency modulation radar signal de-noising. …”
Get full text
Get full text
Article -
4
AUTOMATIC ROUTE FINDER FOR NEW VISITORS
Published 2006“…This project proposes a new visitor route model that is based on shortest path algorithms for road networks. …”
Get full text
Get full text
Final Year Project -
5
Shortest Path Trajectory System Based on Dijkstra Algorithm
Published 2012“…In the master project, the researcher discussed the shortest path solution to a single source problem based on Dijkstra algorithm as resolving the basic concepts. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
6
Application of swarm intelligence optimization on bio-process problems / Mohamad Zihin Mohd Zain
Published 2018“…BSA gave the best overall performance by showing improved solutions and more robust convergence in comparison with various metaheuristics used in this work. Multi-objective optimization problems are also addressed by proposing a modified multi-criterion optimization algorithm based on a Pareto-based Particle Swarm Optimization (PSO) algorithm called Multi-Objective Particle Swarm Optimization (MOPSO). …”
Get full text
Get full text
Thesis -
7
Broadening selection competitive constraint handling algorithm for faster convergence
Published 2020“…In this study, the BSCCH algorithm has been coupled with Differential Evolution algorithm as a proof of concept because it is found to be an efficient algorithm in the literature for constrained optimization problems. …”
Get full text
Get full text
Article -
8
Differential evolution optimization algorithm based on generation systems reliability assessment integrated with wind energy
Published 2019Get full text
Get full text
Conference or Workshop Item -
9
Autonomous path planning robot using geographical information
Published 2008“…The purpose of this project is initially to present an implementation of a guidance algorithm based on the geometrical analysis for the adoption of path planning problem. …”
Get full text
Learning Object -
10
IMPLEMENTATION OF GRAPH BASED PATH PLANNING ALGORITHMS FOR INDOOR NAVIGATION
Published 2018“…In which the obstacles, start node and target node will be known in advance of starting the path planning algorithms. Based on the results of MATLAB simulation, the A* algorithm is the best algorithm in finding the shortest path with the least time taken. …”
Get full text
Get full text
Final Year Project -
11
Crossover-first differential evolution for improved global optimization in non-uniform search landscapes
Published 2015“…The differential evolution (DE) algorithm is currently one of the most widely used evolutionary-based optimizers for global optimization due to its simplicity, robustness and efficiency. …”
Get full text
Get full text
Get full text
Article -
12
-
13
-
14
Mobile robot navigation using GPS to solve target location achieving problem / Saiful Zaimy Yahaya, Rozan Boudville and Mohamad Faizal Abdul Rahman
Published 2010“…The path finding algorithm will basically finds the best path and instructs the robot to moves to its location by keep on refreshing its positions. …”
Get full text
Get full text
Research Reports -
15
Path planning for constant speed robot
Published 2006“…The purpose of this thesis is initially to present an implementation of a guidance algorithm based on the geometrical analysis for the adoption of path planning problem. …”
Get full text
Get full text
Thesis -
16
-
17
Hybrid differential evolution-particle swarm optimization algorithm for multi objective urban transit network design problem with homogeneous buses
Published 2019“…This paper proposes a hybrid differential evolution with particle swarm optimization (DE-PSO) algorithm to solve the UTNDP, aiming to simultaneously optimize route configuration and service frequency with specific objectives in minimizing both the passengers’ and operators’ costs. …”
Get full text
Get full text
Get full text
Article -
18
Hybrid path planning for indoor robot with Laplacian Behaviour-based control via four point-explicit group
Published 2014“…Consequently, the gradient of the potential functions would be used by the searching algorithm to generate path from starting to goal location. …”
Get full text
Get full text
Get full text
Article -
19
Nonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution
Published 2014“…This study proposes a hybrid of conventional back propagation training algorithm for the NARX network and multiobjective differential evolution (MODE) algorithm for identification of a nonlinear model of an unmanned small scale helicopter from experimental flight data.The proposed hybrid algorithm was able to produce models with Pareto-optimal compromise between the design objectives. …”
Get full text
Get full text
Get full text
Article -
20
Robust multi-user detection based on hybrid grey wolf optimization
Published 2020“…The simulation results show that the iteration times of the multi-user detector based on the proposed algorithm is less than that of genetic algorithm, differential evolution algorithm and Grey wolf optimization algorithm, and has the lower BER.…”
Get full text
Get full text
Get full text
Get full text
Get full text
Book Chapter
