An Overview of Nature‐Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

BBK Ayawli, R Chellali, AY Appiah… - Journal of Advanced …, 2018 - Wiley Online Library
Safe and smooth mobile robot navigation through cluttered environment from the initial
position to goal with optimal path is required to achieve intelligent autonomous ground …

A hybrid fuzzy rule-based multi-criteria framework for sustainable project portfolio selection

K Khalili-Damghani, S Sadi-Nezhad, FH Lotfi… - Information …, 2013 - Elsevier
Project selection is a complex decision making process that is influenced by multiple and
often conflicting objectives. The complexity of the project selection problem is due to the high …

A novel edge detection algorithm for mobile robot path planning

R Al-Jarrah, M Al-Jarrah, H Roth - Journal of Robotics, 2018 - Wiley Online Library
A novel detection algorithm for vision systems has been proposed based on combined fuzzy
image processing and bacterial algorithm. This combination aims to increase the detection …

Enhanced discrete bacterial memetic evolutionary algorithm-an efficacious metaheuristic for the traveling salesman optimization

LT Kóczy, P Földesi, B Tüű-Szabó - Information Sciences, 2018 - Elsevier
In this paper we present a novel universal metaheuristic, Discrete Bacterial Memetic
Evolutionary Algorithm (DBMEA), which is based on the combination of the Bacterial …

Comparison of various evolutionary and memetic algorithms

K Balázs, J Botzheim, LT Kóczy - Integrated Uncertainty Management and …, 2010 - Springer
Optimization methods known from the literature include gradient based techniques and
evolutionary algorithms. The main idea of the former methods is to calculate the gradient of …

[HTML][HTML] Improved rapidly exploring random tree with bacterial mutation and node deletion for offline path planning of mobile robot

A Lonklang, J Botzheim - Electronics, 2022 - mdpi.com
The path-planning algorithm aims to find the optimal path between the starting and goal
points without collision. One of the most popular algorithms is the optimized Rapidly …

Bacterial memetic algorithms for order picking routing problem with loading constraints

T Bódis, J Botzheim - Expert Systems with Applications, 2018 - Elsevier
Order picking is the most labour and capital intensive warehousing operation whose primary
development field is routing optimisation due to its time consuming nature. The Order …

Bacterial memetic algorithm for offline path planning of mobile robots

J Botzheim, Y Toda, N Kubota - Memetic Computing, 2012 - Springer
The goal of the path planning problem is to determine an optimal collision-free path between
a start and a target point for a mobile robot in an environment surrounded by obstacles. This …

An effective discrete bacterial memetic evolutionary algorithm for the traveling salesman problem

LT Kóczy, P Földesi… - International Journal of …, 2017 - Wiley Online Library
In recent years, a large number of evolutionary and other population‐based heuristics were
proposed in the literature. In 2009, we suggested to combine the very efficient bacterial …

[HTML][HTML] Bead geometry modeling on uneven base metal surface by fuzzy systems for multi-pass welding

CM Horváth, J Botzheim, T Thomessen… - Expert Systems with …, 2021 - Elsevier
This paper presents a modeling method of weld bead profiles deposited on uneven base
metal surfaces and its application in multi-pass welding. The robotized multi-pass tungsten …