Search Results - intelligence based ((real algorithm) OR (((path algorithm) OR (search algorithm))))
Search alternatives:
- intelligence based »
- real algorithm »
- path algorithm »
-
1
Mobile robot path planning using hybrid genetic algorithm and traversability vectors method
Published 2004“…Recent advances in robotics and machine intelligence have led to the application of modern optimization method such as the genetic algorithm (GA), to solve the path-planning problem. …”
Get full text
Get full text
Get full text
Article -
2
African Buffalo Optimization (ABO): A New Metaheuristic Algorithm
Published 2015“…This paper proposes a new meta-heuristic approach to solving numerical and graph-based problems. The African buffalo algorithm evolved from an understanding of the animal's survival instincts and the search techniques they utilize in the African forests and savannahs; the search for the optimal path to pasture is aligned to their cooperative, intelligent, and social nature. …”
Get full text
Get full text
Get full text
Article -
3
Adaptive route optimization for mobile robot navigation using evolutionary algorithm
Published 2021“…For example, Ant Colony Optimization (ACO) is an optimization algorithm based on swarm intelligence which is widely used to solve path planning problem. …”
Get full text
Get full text
Get full text
Get full text
Proceedings -
4
Utilization of Tabu search heuristic rules in sampling-based motion planning
Published 2023“…We propose a sampling-based algorithm for path planning in unknown environments using Tabu search. …”
Conference Paper -
5
Time series data intelligent clustering algorithm for landslide displacement prediction
Published 2018“…The local optimal solution is obtained by recursive search, and the whole curve path is obtained. Clustering calculation of time series data set is carried out by using hierarchical clustering algorithm according to bending path. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
6
A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…The motion planning problem poses the question of how a robot can move from an initial to a final position. Sampling-based motion planning is a class of randomized path planning algorithms with proven completeness. …”
Get full text
Get full text
Thesis -
7
A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots
Published 2022“…This evaluation focuses mostly on the accuracy of the different path-planning algorithms. Common collision-free path planning methodologies are examined in this paper, including classical or traditional and modern intelligence techniques, as well as both global and local approaches, in static and dynamic environments. …”
Get full text
Get full text
Get full text
Article -
8
A Brief Review of Cuckoo Search Algorithm (CSA) Research Progression from 2010 to 2013
Published 2014“…Cuckoo Search Algorithm is a new swarm intelligence algorithm which based on breeding behavior of the Cuckoo bird. …”
Get full text
Get full text
Get full text
Article -
9
-
10
Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…The aim of the research is to introduce novel form of swarm intelligence algorithms based on real echolocation behaviour of bats. …”
Get full text
Get full text
Thesis -
11
Using artificial intelligence search in solving the camera placement problem
Published 2022“…The chapter also carries out an analytical review of three main searching algorithms namely, generate and test, uninformed search, and hill climbing search algorithms. …”
Get full text
Get full text
Book -
12
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…The proposed population-based SKF algorithm and the single solution-based SKF algorithm use the scalar model of discrete Kalman filter algorithm as the search strategy to overcome these flaws. …”
Get full text
Get full text
Thesis -
13
-
14
-
15
Nature-Inspired Heuristic Frameworks Trends in Solving Multi-objective Engineering Optimization Problems
Published 2025“…These algorithms are inspired and modelled based on the searching behaviour of animals in real life. …”
Review -
16
Mathematical formulation of tabu search in combinatorial optimization
Published 2008“…CARP is known to be Non-deterministic Polynomialtime hard (NP-hard) where solutions are obtained through heuristic methods. Tabu Search (TS) is a heuristic method based on the use of prohibition-based techniques and basic heuristics algorithms like local search. …”
Get full text
Get full text
Monograph -
17
Comparison of swarm intelligence algorithms for high dimensional optimization problems
Published 2018“…This paper presents a comprehensive study of two swarm intelligence based algorithms: 1- particle swarm optimization (PSO), 2-cuckoo search (CS).The two algorithms are analyzed and compared for problems consisting of high dimensions in respect of solution accuracy, and runtime performance by various classes of benchmark functions.…”
Get full text
Get full text
Get full text
Get full text
Article -
18
Optimization and discretization of dragonfly algorithm for solving continuous and discrete optimization problems
Published 2024“…Swarm intelligence algorithms are metaheuristic algorithms inspired by the simple interactions of biological organisms in a population. …”
Get full text
Get full text
Thesis -
19
A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing
Published 2024“…Firefly algorithm outperformed the other metaheuristic algorithms used to solve this proposed hybrid artificial intelligence model regarding parameter sensitivity. …”
Get full text
Get full text
Get full text
Thesis -
20
Swarm intelligence algorithms’ solutions to the travelling salesman’s problem
Published 2020“…After a number of experimental procedures, the study concludes that all the comparative algorithms are very efficient in providing solutions to the benchmark travelling salesman’s problems considered, though the Discrete Cuckoo Search and the African Buffalo Optimization have a slight edge in performance over the other comparative algorithms. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item