Genetic algorithm, developed by Goldberg, has been used to solve optimization problems,
and in modeling systems where randomness is involved. This paper presents a review of the …

In this study, an improved crossover operator is suggested, for solving path planning
problems using genetic algorithms (GA) in static environment. GA has been widely applied …

The shortest/optimal path planning in a static environment is essential for the efficient
operation of a mobile robot. Recent advances in robotics and machine intelligence have led …

In this article, we discuss path optimization to solve the problem of path planning for
autonomous mobile robots. We consider the case of constrained environments where the …

Nowadays, building an intelligent robot that able to move by itself from one location to
another without collides with other obstacles is of interest in many applications. In the real …

Nowadays many public and private institutions begin space studies projects. Among many
problems to solve there is a planet exploration. Now rovers are controlled directly from the …

Path planning is an important component for a mobile robot to be able to do its job in
different types of environments. Furthermore, determining the safest and shortest path from …

This paper presents evolutionary methods for optimization in dynamic mobile robot path
planning. In dynamic mobile path planning, the goal is to find an optimal feasible path from …

Mobile robots are intended to operate in a variety of environments, and they need to be able
to navigate and travel around obstacles, such as objects and barriers. In order to guarantee …

This paper proposed a genetic algorithm-based method of path planning for mobile robot in
a static environment. The paper uses a simple fitness function as the evaluation standard for …