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An Overview of Nature‐Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning
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 …
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
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 …
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
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 …
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
In this paper we present a novel universal metaheuristic, Discrete Bacterial Memetic
Evolutionary Algorithm (DBMEA), which is based on the combination of the Bacterial …
Evolutionary Algorithm (DBMEA), which is based on the combination of the Bacterial …
Comparison of various evolutionary and memetic algorithms
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 …
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
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 …
points without collision. One of the most popular algorithms is the optimized Rapidly …
Bacterial memetic algorithms for order picking routing problem with loading constraints
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 …
development field is routing optimisation due to its time consuming nature. The Order …
Bacterial memetic algorithm for offline path planning of mobile robots
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 …
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
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 …
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
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 …
metal surfaces and its application in multi-pass welding. The robotized multi-pass tungsten …