Neural Network-based Genetic Algorithm for Autonomous Boat Pathfinding. Abstract: Genetic algorithms become widely used in various optimization as a nature-inspired algorithm. This biological-based algorithm includes three genetic operators: selection, crossover or recombination, and mutation.
In this study, the genetic operator processed neural network parameters, including the weight and bias. Three-ray sensors with different directions input data ...
This paper provides a genetic algorithm from the subset of evolutionary algorithms to minimise inter-group connectedness. The proposed algorithm reduces the ...
Aug 3, 2022 · In each framework, a decision algorithm based on variant deep Q-learning (DQN) was proposed to learn and explore strategies from local maps in [ ...
May 1, 2022 · This review explores the path planning algorithms of autonomous maritime vehicles and their collision regulation relevance in order to reveal ...
This research proposes a neuronal genetic algorithm that utilizes neural network input for processing with a genetic operator. The modifications in this ...
The paper proposes a method of global path planning based on neural network and genetic algorithm. We constructed the neural network model of environemntal ...
This article describes route planning using the improvised genetic algorithm with the Bezier Curve (GA-BZ). This study carried out two main experiments, each ...
This paper categorizes path planning techniques into three primary groups: traditional (graph-based, sampling-based, gradient-based, optimization-based, ...
A genetic algorithm is used to search the space of network search algorithms like A* to find new pathfinding algorithms that are near-optimal, fast, ...